Publications

"Impact Factors of topmost journal papers:  

Journal of Extracellular Vesicles (Impact factor: 25.841),  Artificial Intelligence Review (impact fcator: 18.8), IEEE Transactions on Systems, Man, and Cybernetics: Systems (Impact factor: 13.451), Annals of Surgery (Impact factor: 12.969), Briefings in Bioinformatics (Impact factor: 11.622),  Molecular Therapy - Nucleic Acids, Cell (Impact factor: 8.886).

Number of Peer-reviewed Publications: 340 (Number of  Journals=240, #conferences=35, #book chapters=20, #Edited book=70 and #Patent=2)

Total impact factor gained: >375

Google citation: >6100, h-index :43, i10-index :145.

Scopus index: >4553 .

Authored/Edited books:

[1] Ankan  Bhattacharya,  Bappadittya  Roy,  Samarendra  Nath  Sur, Saurav  Mallik and  Subhasis Dasgupta, “Internet of Things and Data Mining for Modern Engineering and Healthcare Applications”, Routledge & CRC Press, Taylor & Francis Group, London, UK, 2021, https://www.taylorfrancis.com/books/edit/10.1201/9781003217398/internet-things-data-mining-modern-engineering-healthcare-applications-ankan-bhattacharya-bappadittya-roy-samarendra-nath-sur-saurav-mallik-subhasis-dasgupta.

[2] Saurav Mallik, Junichi Iwata, Ruifeng Hu, Tapas Si, eds. (2023). “Deep learning to disease prediction on next generation sequencing and biomedical imaging data”, Lausanne: Frontiers Media SA. doi: 10.3389/978-2-8325-3281-2, https://www.frontiersin.org/research-topics/25703/deep-learning-to-disease-prediction-on-next-generation-sequencing-and-biomedical-imaging-data.

[3] Saurav Mallik, Loveleen Gaur, Mingqiang Wang, Soumita Seth and Tapas Bhadra, "Landscape of next generation sequencing using pattern recognition", River Publishers, January, 2023 (in press/typesetting).

[4] Saurav Mallik, Himanish Shekhar Das, Hong Qin, Kangkana Bora and Koushik Mallick, “Landscape of Pattern Learning Applied to Public Health and Social Sciences”, Nova Publishers, USA, March, 2023 (agreement signed). 

[5] Saurav Mallik, Anjan Bandyopadhyay, Ruifeng Hu, Pawan Kumar Singh, Soumadeep Ghosh, Sujata Swain, “Healthcare Services in the Metaverse: Game Theory, AI, IOT, and Blockchain”, CRC PRESS, Taylor & Francis, 2023 (in press/typesetting). 

[6] Taskeen Zaidi, Adarsh Kumar, Saurav Mallik, Keshav Kaushik, "Flying Ad-Hoc Networks", Scrivener Publishing LLC., USA, 2023 (contract/agreement signed).

[7] Saurav Mallik, Zhongming Zhao, Nanda Dulal Jana, Prabhu J, Tapas Si and Sandeep Kumar M,“Swarm optimization for Biomedical Application”, CRC Press— Taylor & Francis Group, Boca Raton, Florida, USA, June, 2023 (agreement signed). 

[8] Ben Othman Soufiene, Saurav Mallik and Abdulatif Alabdulatif, "Using Blockchain Technology in Healthcare Settings: Empowering Patients with Trustworthy Data", CRC Press, Taylor & Francis Group, November, 2023 (agreement signed). 

[9] Saurav Mallik, Ben Othman Soufiene, Subramaniam Karuppiah Barathi Sangeetha, Venkatesan Muthukumaran, Priyanka Roy, "AI, Numerical optimization, IoT and Blockchain for Healthcare 4.0", The Institution of Engineering and Technology (IET), December, 2023 (contract/agreement signed). 

[10] Saurav Mallik, Sandeep Kumar M, S.K.B. Sangeetha and Sudeshna Rakshit, Koustav Sarkar, "Advanced Explorations in Deep Learning, Computer Vision, and IoT with Machine Learning Innovations and Biotechnology", Bentham Science Publishers, January, 2024 (accepted).

[11] Ben Othman Soufiene, Saurav Mallik, Soumita Seth, "Advanced Explorations in Deep Learning, Computer Vision, and IoT with Machine Learning Innovations and Biotechnology", River Publishers, January, 2023 (contract signed).  

[12] Saurav Mallik, Sandeep Kumar M, S.K.B. Sangeetha and Ben Othman Soufeene, "Real-World Applications of AI Innovation", IGI Global Publishers, February, 2024 (Contract signed). 

[13] Saurav Mallik, Sandeep Kumar M, S.K.B. Sangeetha, Ben Othman Soufiene, Saravanan Srinivasan, Saheli Majumdar, "Optical Quantum Technology for Enhanced Medical Diagnosis", Scrivener Publishing, USA (Contract signed). 

[14] Mukesh Kumar, Vivek Bhardwaj, Pawan Kumar, Saurav Mallik, Karan Bajaj, Mingqiang Wang, "Reinforcement Learning Essentials: Foundations and Applications", Bentham Science Publishers, February, 2024 (contract signed). 

[15] Saurav Mallik, Sandeep Kumar M, S.K.B. Sangeetha, Ben Othman Soufiene, Saravanan Srinivasan, Saheli Majumdar, "Quantum-Inspired Soft Computing Algorithm for Effective Medical Diagnosis", River Publishers, February 2024 (Contract signed). 

[16] Saurav Mallik, Sandeep Kumar Mathivanan, Ben Othman Soufiene and Saravanan Srinivasan, "Exploring the Potential of Metaverse and Blockchain in Health Care Diagnosis", Apple Academic Press (co-publishing with CRC Press, Taylor Francis)), February, 2024 (contract signed). 

[17] Saurav Mallik, Sandeep Kumar M, S.K.B. Sangeetha and Ben Othman Soufiene, "Advancing Medical Research Through Neuroscience", IGI Global Publishers, February, 2024 (contract signed). 

[18] Saurav Mallik, Sandeep Kumar Mathivanan, S.K.B. Sangeetha, Ben Othman Soufiene, Saravanan Srinivasan, and Pratham Majumder, "UAV and Drone Technology in Agriculture", Jenny Stanford Publishing, March, 2024 (contract signed)). 

[19] Saurav Mallik, Hong Qin, Subrata Nandi, Munshi Yusuf Alam, Arup Roy, and Tanvir Sardar, "Applications of Computational Learning and IoT in Smart Road Transportation System", Springer, March, 2024 (proposal accepted). 

[20] Saurav Mallik, Zubair Rahaman, Soumita Seth, Anjan Bandyopadhyay, Sujata Swain, Somenath Chakraborty, "DRUG DISCOVERY AND TELEMEDICINE THROUGH AI", deGruyter, March, 2024 (proposal accepted). 

[21] Saurav Mallik, Sandeep Kumar Mathivanan, S.K.B Sangeetha, Ben Othman Sou ene, Saravanan Srinivasan, Aimin Li, "Machine Learning in Healthcare Data-Driven Decisions, Predictive Modelling, Personalized Medicine" , de Gruyter, April, 2024 (proposal accepted/contract signed). 

[22] Saurav Mallik, Sandeep Kumar Mathivanan, Prabhu J, Hong Qin, Ben Othman Soufiene, "Applications of Computer Vision in Healthcare", CRC Press, Taylor & Francis Group, April 2024 (proposal accepted/contract signed).

Patents:

[1] Arup Roy, Saurav Mallik, Debakanta Chakraborty and Subhas Halder, "Artificial Intelligence based System for Establishment of Digital Marketing" (Application number: 202341013011), Indian Patent Advanced Search System (inPASS), published dated at 17 March, 2023 (https://ipindiaservices.gov.in/). 

[2] Pawan Kumar Singh, Saurav Mallik, Debkanta Chakraborty, Anup Kumar Ghosh, Nilendu Rakshit and Arup Roy, “Artificial Intelligence based System for Establishment of Digital Marketing” (Application number: 202341059058), Indian Patent Advanced Search System (inPASS), filed dated at 4 September, 2023 (https://iprsearch.ipindia.gov.in/PatentSearch/PatentSearch/ViewApplicationStatus). 

Peer-reviewed journals:

[1] Sanghamitra Bandyopadhyay, Saurav Mallik and Anirban Mukhopadhyay, "A Survey and Comparative Study of Statistical Tests for Identifying Differential Expression from Microarray Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11:1, pp. 95-115, 2013, DOI: 10.1109/TCBB.2013.147 [Impact Factor: 3.71 ]. [pdf]

[2] Saurav Mallik, Sutapa Majee, Arun Kanti Manna and Md. Headayetullah, “An Approach to Improve the Security of Online System using Crypto System”, International Journal of Computer Science and Information Technologies (IJCSIT), 2(5):1933–39, 2011.

[3] Saurav Mallik, Anirban Mukhopadhyay and Ujjwal Maulik, “Integrated Statistical and Rule- Mining Techniques for DNA Methylation and Gene Expression Data Analysis”, Journal of Artificial Intelligence and Soft Computing Research, 3(2), 2013, DOI: https://doi.org/10.2478/jaiscr-2014-0008, (Impact Factor: 4.92 ). [pdf] 

[4] Madeeha Aqil, Afsar Raza Naqvi, Saurav Mallik, Sanghamitra Bandyopadhyay, Ujjwal Maulik and Shahid Jameel, “The HIV Nef protein modulates cellular and exosomal miRNA profiles in human monocytic cells”, Journal of Extracellular Vesicles, 3: 23129, 2014,  https://doi.org/10.3402/jev.v3.23129 [Impact Factor: 25.841].[pdf]

[5] Madeeha Aqil, Saurav Mallik, Sanghamitra Bandyopadhyay, Ujjwal Maulik and Shahid Jameel, “Transcriptomic Analysis of mRNAs in Human Monocytic Cells Expressing the HIV-1 Nef Protein and Their Exosomes”, BioMed Research International, (Hindawi Publishing Corporation), vol. 2015, article id: 492395, pp. 1-10, 2015, http://dx.doi.org/10.1155/2015/492395 [Impact Factor: 3.411 ]. [pdf] 

[6] Saurav Mallik, Anirban Mukhopadhyay and Ujjwal Maulik, “RANWAR: Rank-Based Weighted Association Rule Mining from Gene Expression and Methylation Data”, IEEE Transactions on Nanobioscience, 14: 1, pp. 59-66, 2015, DOI: 10.1109/TNB.2014.2359494, [Impact Factor: 2.935 ]. [pdf] 

[7] Ujjwal Maulik, Saurav Mallik, Anirban Mukhopadhyay and Sanghamitra Bandyopadhyay, “Analyzing Gene Expression and Methylation Data Profiles using StatBicRM: Statistical Biclustering-based Rule Mining”, PLoS One, 10(4): e0119448, 2015, https://doi.org/10.1371/journal.pone.0119448 [Impact Factor: 3.240 ]. [pdf] 

[8] Saurav Mallik and Ujjwal Maulik, “MiRNA-TF-Gene Network Analysis through Ranking of Biomolecules for Multi-Informative Uterine Leiomyoma Dataset”, Journal of Biomedical Informatics, (Elsevier), vol. 57, pp. 308-319, 2015, https://doi.org/10.1016/j.jbi.2015.08.014 [Impact Factor: 6.317 ]. [pdf]

[9] Saurav Mallik, Sagnik Sen and Ujjwal Maulik, “IDPT: Insights into Potential Intrinsically Disordered Proteins Through Transcriptomic Analysis of Genes for Prostate Carcinoma Epigenetic Data”, Gene, (Elsevier), 586 (2016), pp. 87-96, 2016, https://doi.org/10.1016/j.gene.2016.03.056 [Impact Factor:  

3.688].[pdf]

[10] Saurav Mallik and Zhongming Zhao, "Towards integrated oncogenic marker recognition through mutual information-based statistically significant feature extraction: an ARM-based study on leukemia expression and methylation profiles", Quantitative Biology, vol 5, iss. 4, pp. 302-327, 2017, DOI: 10.1007/s40484-017-0119-0 [Impact Factor:  1.80 ].

[11]  Saurav Mallik and Zhongming Zhao, "ConGEMs: Condensed Gene Co-Expression Module Discovery Through Rule-Based Learning and Its Application to Lung Squamous Cell Carcinoma", Genes (MDPI), 9(1), 7, 2017, doi:10.3390/genes9010007 , (Impact Factor: 4.096).

[12] Saurav Mallik, Tapas Bhadra and Ujjwal Maulik, “Identifying Epigenetic Biomarkers using Maximal Relevance and Minimal Redundancy Based Feature Selection for Multi-Omics Data”, IEEE Transactions on Nanobioscience, vol. 16, issue 1, pp. 3-10, 2017, DOI: 10.1109/TNB.2017.2650217 [Impact Factor: 2.935 ].[pdf]

[13] Sagnik Sen, Ujjwal Maulik, Saurav Mallik and Sanghamitra Bandyopadhyay, "Detecting TF-MiRNA-Gene Network Based Modules for 5hmC and 5mC Brain Samples: A Intra- and Inter-Species Case-Study Between Human and Rhesus", BMC Genetics, 19:9, 2018, DOI 10.1186/s12863-017-0574-7 [Impact Factor: 3.969 ].

[14] Saurav Mallik, Tapas Bhadra,  and Ayan Mukherji, "DTFP-Growth: Dynamic Threshold Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation and Protein-Protein Interaction Profiles",  IEEE Transactions on Nanobioscience, vol. 17, issue 2, pp. 117-125, 2018, DOI: 10.1109/TNB.2018.2803021, [Impact Factor: 2.935 ]. 

[15] {Sanghamitra Bandyopadhyay*, and Saurav Mallik*}, “Integrating Multiple Data Sources for Combinatorial Marker Discovery: A Study in Tumorigenesis”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15:2, 2018, DOI: 10.1109/TCBB.2016.2636207 [Impact Factor: 3.71]. [*First co-author].[pdf]

[16] Saurav Mallik, Gabriel J. Odom, Zhen Gao, Lissette Gomez, Xi Chen and Lily Wang, "An Evaluation of Supervised Methods for Identifying Differentially Methylated Regions in Illumina Methylation Arrays", Briefings in Bioinformatics,  2019 Nov 27;20(6):2224-2235. doi: 10.1093/bib/bby085 , https://doi.org/10.1093/bib/bby085 [Impact Factor: 11.622].

[17] Saurav Mallik and Zhongming Zhao, "Identification of Gene Signatures from RNA-seq Data Using Pareto-optimal Cluster Algorithm", BMC Systems Biology, 12 (Suppl 8) :126, 2018 , https://doi.org/10.1186/s12918-018-0650-2 , (Impact Factor: 2.30).

[18] Saurav Mallik and Zhongming Zhao, "Distance Based Knowledge Retrieval through Rule Mining for Complex Biomarker Recognition from Tri-Omics Profiles", International Journal of Computational Biology and Drug Design (ISSN online: 1756-0764), 12(2):105, 2018, DOI: 10.1504/IJCBDD.2019.10021269.

[19] Arup Roy, Soumya Banerjee, Chintan Bhatt, Youakim Badr and Saurav Mallik, “Hybrid Group Recommendation Using Modified Termite Colony Algorithm: A Context Towards Big Data”, Journal of Information & Knowledge Management, Vol. 17, No. 2 (2018) 1850019, DOI: 10.1142/S0219649218500193 (Impact Factor: 1.2).  

[20] Saurav Mallik and Zhongming Zhao, "Graph- and rule-based learning algorithms: A comprehensive review of their applications for cancer type classification and prognosis using genomic data", Briefings in Bioinformatics, 2020 Mar 23;21(2):368-394,  doi: 10.1093/bib/bby120. (Impact Factor: 11.622).

[21] Aimin Li, Peilin Jia, Saurav Mallik, Rong Fei, Hiroki Yoshioka, Akiko Suzuki, Junichi Iwata and Zhongming Zhao, "Critical microRNAs and regulatory motifs in cleft palate identified by a conserved microRNA-TF-gene network approach in humans and mice", Briefings in Bioinformatics, Volume 21, Issue 4, July 2020, Pages 1465–1478, https://doi.org/10.1093/bib/bbz082  (Impact Factor: 11.622). https://academic.oup.com/bib/article-abstract/21/4/1465/5565041?redirectedFrom=fulltext 

[22] Saurav Mallik and Zhongming Zhao, “Multi-objective optimized fuzzy clustering for detecting cell clusters from single cell expression profiles", Special Issue of "Technologies and Resources for Genetics", Genes, 10(8), 61, 2019, https://doi.org/10.3390/genes10080611 (Impact Factor: 4.091).

[23] Tapas Bhadra*, Saurav Mallik*, and Sanghamitra Bandyopadhyay, "Identification of Multi-View Gene Modules using Mutual Information Based Hypograph Mining",  IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, issue 6, pp. 1119-1130, 2019, DOI: 10.1109/TSMC.2017.2726553 [Impact Factor: 13.451]. [*First co-author]. [pdf]

[24] {Guimin Qin*, Saurav Mallik*}, Ramkrishna Mitra, Aimin Li, Peilin Jia, Christine Eischen and Zhongming Zhao, “MicroRNA and transcription factor co-regulatory networks and subtype classification of seminoma and non-seminoma in testicular germ cell tumors", Nature Scientific Reports, 10, Article number: 852 (2020)    https://www.nature.com/articles/s41598-020-57834-w  , [*First co-author] (Impact Factor: 4.379 ).

[25] Saurav Mallik and Sanghamitra Bandyopadhyay, "WeCoMXP: Weighted Connectivity Measure Integrating Co-Methylation, Co-Expression and Protein-Protein Interactions for Gene-Module Detection", IEEE/ACM Transactions on Computational Biology and Bioinformatics,  vol. 17, no. 2, pp. 690-703, 1 March-April 2020, DOI: 10.1109/TCBB.2018.2868348 [Impact Factor:  3.71]. [pdf]

[26] Raju Kandimalla, Tadanobu Shimura, Saurav Mallik, Susan Tsai, Douglas B Evans, Hideo Baba, Yasuhiro Kodera, Xi Chen and Ajay Goel, “Identification of serum miRNA signature and establishment of a nomogram for risk-stratification in patients with pancreatic ductal adenocarcinoma", Annals of Surgery, 2020 May 8:10.1097/SLA.0000000000003945, PMID: 32398486, DOI: 10.1097/SLA.0000000000003945 , https://pubmed.ncbi.nlm.nih.gov/32398486/  (Impact Factor: 12.969).

[27] Aimin Li*, Saurav Mallik*, Haidan Luo, Peilin Jia, Dung-Fang Lee, and Zhongming Zhao, "H19, a Long Non-coding RNA, Mediates Transcription Factors and Target Genes through Interference of miRNAs in Pan-cancers",  Molecular Therapy - Nucleic Acids,  Cell-press, Volume 21, 4 September 2020, Pages 180-191, https://doi.org/10.1016/j.omtn.2020.05.028 (Impact Factor: 8.886) [*First author]. 

[28] Saurav Mallik, Guimin Qin, Peilin Jia, and Zhongming Zhao, "Molecular signatures identified by integrating gene expression and methylation in non-seminoma and seminoma of testicular germ cell tumors", Epigenetics, Taylor & Francis, 16(2):162-176, 2021, https://doi.org/10.1080/15592294.2020.1790108 (Impact Factor: 4.528 ).

[29] Saurav Mallik, Soumita Seth, Tapas Bhadra and Zhongming Zhao , "A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer using DNA Methylation and Gene Expression Data", Genes, MDPI, vol 11(8):931, 2020, doi:10.3390/genes11080931  , (Impact Factor: 4.091). 

[30] Koushik Mallick*, Saurav Mallik*, Sanghamitra Bandyopadhyay and Sikim Chakraborty, “A Novel Graph Topology based GO-Similarity Measure for Signature Detection from Multi-Omics Data and its Application to Other Problems”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020 (accepted) doi: 10.1109/TCBB.2020.3020537.  [Impact Factor:  3.71]. [*First co-author].

[31] Monalisa Mandal, Sanjeeb Kumar Sahoo, Priyadarshan Patra, Saurav Mallik and Zhongming Zhao , "In Silico Ranking of Phenolics for Therapeutic Effectiveness on Cancer Stem Cells", Special issue, BMC Bioinformatics 21, 499 (2020). https://doi.org/10.1186/s12859-020-03849-z (Impact Factor: 3.169). 

[32] Saurav Mallik and Zhongming Zhao, Detecting methylation signatures in neurodegenerative disease by density-based clustering of applications with reducing noise, Nature Scientific Reports 10, 22164 (2020). https://doi.org/10.1038/s41598-020-78463-3  (Impact Factor: 4.379 ).

[33] Kangkana Bora, M.K. Bhuyan, Kunio Kasugai, Saurav Mallik, and Zhongming Zhao, Computational learning of features for automated colonic polyp classification, Nature Scientific Reports 11, 4347 (2021). https://doi.org/10.1038/s41598-021-83788-8  (Impact Factor: 4.379 ).

[34] Tapas Bhadra, Saurav Mallik, Amir Sohel and Zhongming Zhao, “Unsupervised Feature Selection Using an Integrated Strategy of Hierarchical Clustering With Singular Value Decomposition: An Integrative Biomarker Discovery Method With Application to Acute Myeloid Leukemia”, Special Issue- Intelligent Optimization Algorithms in Genomics and Precision Medicine, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 19, no. 3, pp. 1354-1364, 1 May-June 2022, doi: 10.1109/TCBB.2021.3110989.  [Impact Factor:  3.71].

[35] Soumita Seth, Saurav Mallik, Tapas Bhadra  and Zhongming Zhao , “Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data”, Special Issue- Artificial Intelligence for Extracting Phenotypic Features and Disease Subtyping Applied to Single-Cell Sequencing Data, Frontiers in Genetics, 13: 828479, Feb 7, 2022 , https://doi.org/10.3389/fgene.2022.828479.  [Impact Factor:  4.6].

[36] Loveleen Gaur, Mohan Bhandari, Tanvi Razdan, Saurav Mallik and Zhongming Zhao, “Explanation-driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data”, Special Issue- Deep Learning to Disease Prediction on Next Generation Sequencing and Biomedical Imaging Data, Frontiers in Genetics, 14 March 2022, https://doi.org/10.3389/fgene.2022.822666   [Impact Factor:  4.6].

[37] Sana Munquad, Tapas Si, Saurav Mallik, ASIM BIKAS DAS and Zhongming Zhao, “A deep learning-based framework for supporting clinical diagnosis of glioblastoma subtypes”, Special Issue- Artificial Intelligence for Extracting Phenotypic Features and Disease Subtyping Applied to Single-Cell Sequencing Data, Frontiers in Genetics, 28 March, 2022. https://doi.org/10.3389/fgene.2022.855420   [Impact Factor:  4.6].

[38] Pallabi Sharma, Bunil Kumar Balabantaray, Kangkana Bora, Kunio Kasugai, Saurav Mallik and Zhongming Zhao, “An ensemble-based deep convolution neural network for computer-aided polyps identification from colonoscopy”, Special Issue- Deep Learning to Disease Prediction on Next Generation Sequencing and Biomedical Imaging Data, Frontiers in Genetics, 26 Apr 2022, 13:844391, PMID: 35559018, doi: 10.3389/fgene.2022.844391 [Impact Factor: 4.6]. 

[39] Tapas Bhadra, Saurav Mallik, Neaj Hasan, Zhongming Zhao, “Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer”, BMC Bioinformatics, 23, 153 (2022). https://doi.org/10.1186/s12859-022-04678-y  [Impact Factor: 3.169]. 

[40] Saurav Mallik, Fran Grodstein, David A. Bennett, Demetrios G. Vavvas, Bernardo Lemos, "Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration", Frontiers in Medicine, 16 June 2022, https://doi.org/10.3389/fmed.2022.856853  [Impact Factor: 5.091]. 

[41] Suparna Saha, Saurav Mallik*, Sanghamitra Bandyopadhyay, "A Multi-Molecular Fusion to Detect Transcriptomic Signature in Tissue-Specific Cancer", Eurasian Journal of Medicine and Oncology, Eurasian J Med Oncol. 2022; 6(2): 156-171 | DOI: 10.14744/ejmo.2022.53376, (*: Corresponding author) [Impact Factor: 2.5].

[42] Rajib Dhar, Saurav Mallik, and Arikketh Devi, “Exosomal microRNAs (exoMIRs): Micro molecules with Macro impact in Oral Cancer”, 3 Biotech, Springer, 12:155, 2022, https://doi.org/10.1007/s13205-022-03217-z , [Impact Factor: 2.406].

[43] Meghana Karri, Chandra Sekhara Rao Annavarapu, Saurav Mallik, Zhongming Zhao and U Rajendra Acharya, “Multi-class nucleus detection and classification using deep convolutional neural network with enhanced high dimensional dissimilarity translation model on cervical cells”, Biocybernetics and Biomedical Engineering, Elsevier, 42(3), July–September 2022, Pages 797-814, 2022, https://doi.org/10.1016/j.bbe.2022.06.003  [Impact Factor: 4.314].

[44] Monika Khandelwal, Sabha Sheikh, Ranjeet Kumar Rout, Saiyed Umer, Saurav Mallik and Zhongming Zhao, “Unsupervised Learning for Feature Representation Using Spatial Distribution of Amino Acids in Aldehyde Dehydrogenase (ALDH2) Protein Sequences”, Special issue “Mathematical Modelling on Biology”, Mathematics, 2022, 10(13), 2228; https://doi.org/10.3390/math10132228  [Impact Factor: 2.5] .

[45] Arjun Ghosh, Nanda Dulal Jana, Saurav Mallik and Zhongming Zhao, “Designing Optimal Convolutional Neural Network Architecture Using Differential Evolution Algorithm”, PATTERNS, Cell Press, 3, 100567, 2022, https://doi.org/10.1016/j.patter.2022.100567.

[46]  Aimin Li, Siqi Xiong, Junhuai Li, Saurav Mallik, Yajun Liu, Rong Fei, Hongfang Zhou, Guangming Liu, "AngClust: Angle feature-based clustering for short time series gene expression profiles", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 Mar-Apr;20(2):1574-1580, doi: 10.1109/TCBB.2022.3192306  [Impact Factor: 3.7].

[47] Sana Munquad, Tapas Si, Saurav Mallik, Aimin Li, Asim Bikas Das, “Subtyping and Grading of Lower-grade Gliomas Using Integrated Feature Selection and Support Vector Machine”, Briefings in Functional Genomics, 2022 (accepted), elac025, https://doi.org/10.1093/bfgp/elac025  [Impact Factor: 4.840].

[48] Milon Biswas, Partho Ghose, Muhaddid Alavi, Mehnaz Tabassum, Md Ashraf Uddin, Kawsher Mahbub, Loveleen Gaur, Saurav Mallik and Zhongming Zhao, “Detecting COVID-19 Infection Status from Chest X-Ray and CT scan via Single Transfer Learning-Driven Approach”, Special Issue- Data Structure and Soft Computing Algorithms on DNA/RNA Sequencing and Medical Imaging Data , Frontiers in Genetics, 2022, Sep 21;13:980338, https://doi.org/10.3389/fgene.2022.980338  [Impact Factor:  4.6].

[49] Monika Khandelwal, Ranjeet Kumar Rout, Saiyed Umer, Saurav Mallik* and Aimin Li, “Multi-factorial Feature Extraction and Site Prognosis Model for Protein Methylation Data”, Briefings in Functional Genomics, 2022, elac034, https://doi.org/10.1093/bfgp/elac034,  [Impact Factor: 4.840].

[50] Soumadip Ghosh, Suharta Banerjee, Supantha Das, Arnab Hazra, Saurav Mallik*, Zhongming Zhao* and Ayan Mukherji, "Evaluation and Optimization of Biomedical Image-based Deep Convolutional Neural Network Model for COVID-19 Status Classification", Applied Sciences, 12(21), 10787; 2022, https://doi.org/10.3390/app122110787  [Impact Factor: 2.838].

[51] Kangkana Bora, Lipi B Mahanta, Kasmika Borah, Genevieve Chymang, Barun Barua, Saurav Mallik, Himanish S Das and Zhongming Zhao, "Machine Learning based Approach for Automated Cervical Dysplasia Detection using Multi-resolution Transform Domain Features", Special issue “Mathematical Modelling on Biology”, Mathematics, 2022, 10(21), 4126; https://doi.org/10.3390/math10214126  [Impact Factor: 2.5].

[52] Himanish Shekhar Das, Akalpita Das, Anupal Neog, Saurav Mallik, Kangkana Bora and Zhongming Zhao, "Early detection of Parkinson disease using fusion of discrete wavelet transformation and histograms of oriented gradients", Special issue “Mathematical Modelling on Biology”, Mathematics, 2022, 10, 4218. https://doi.org/10.3390/math10224218 [Impact Factor: 2.5].

[53] Kasmika Borah, Kangkana Bora, Saurav Mallik and Zhongming Zhao, "Potential Therapeutic Agents on Alzheimer’s Disease through Molecular Docking and Molecular Dynamics Simulation study of Plant-based Compounds ”, Special issue “Computational Methods and Applications in Biological and Chemical Sciences”, Chemistry and Biodiversity (Wiley), 2022, https://doi.org/10.1002/cbdv.202200684 [Impact Factor: 2.745].

[54] Saminur Hoque, Rajib Dhar, Rishav Kar, Sayantanee Mukherjee, Dattatreya Mukherjee, Nobendu Mukerjee, Sagnik Nag, Namrata Tomar and Saurav Mallik*, “Cancer Stem Cells (CSCs): key player of radiotherapy resistance  and its clinical significance”, Biomarkers, Taylor & Francis, 2022, https://doi.org/10.1080/1354750X.2022.2157875 [Impact Factor: 2.663].

[55] Saurav Mallik*, Anirban Mukhopadhyay, Aimin Li, Gabriel Odom and Namrata Tomar, "Editorial: Artificial Intelligence for Extracting Phenotypic Features and Disease Subtyping Applied to Single-Cell Sequencing Data", Frontiers in Genetics, General Editorial, section Computational Genomics, Special issue on "Artificial Intelligence for Extracting Phenotypic Features and Disease Subtyping Applied to Single-Cell Sequencing Data", Frontiers in Genetics, 2022, doi: 10.3389/fgene.2022.1083719   [Impact Factor: 4.8]

[56] Mohan Bhandari, Arjun Neupane, Saurav Mallik*, Loveleen Gaur* and Hong Qin, "Auguring Fake Faces Images Using Dual Input Convolutional Neural Network", Special issue on "Deepfakes, Fake News and Multimedia Manipulation from Generation to Detection", jimaging, 9(1), 3, 2022; https://doi.org/10.3390/jimaging9010003  [Impact Factor: 3.2]

[57] Himanish Shekhar Das, Akalpita Das, Anupal Neog, Saurav Mallik, Kangkana Bora and Zhongming Zhao, "Breast Cancer Detection: Shallow Convolutional Neural Network against Deep Convolutional Neural Networks based approach", Frontiers in Genetics, section Computational Genomics, 2023 January, 4;13:1097207. doi: 10.3389/fgene.2022.1097207, [Impact Factor: 4.8].    

[58] Naresh E, Loveleen Gaur, Ananda Babu J , Srinidhi N, Saurav Mallik,  Dayananda P, et al.,  "A Framework for Autonomous Garbage Collection Robot Using Internet of Things",  International Journal of Computing and Digital Systems, 2022 (accepted).

[59] Ayan Mukherji, Arindam Mondal, Rajib Banerjee, and Saurav Mallik*, ``Recent Landscape of Deep Learning Intervention and Consecutive Clustering on Biomedical Diagnosis", Special issue on ``Machine Learning embedded with Cellular Automata applied to Network Security, Cryptography and Real-time Biomedical Applications", Artificial Intelligence and Applications, bonview press, 2022, https://doi.org/10.47852/bonviewAIA2202480.

[60] Saritha Saladi, Yepuganti Karuna, SRINIVAS KOPPU, G. Ramachandra Reddy, Senthilkumar Mohan, Saurav Mallik*, Hong Qin*, "Segmentation and Analysis Emphasizing Neonatal MRI Brain Images using Machine Learning Techniques", Special issue on "Mathematical Modelling in Biology", Mathematics, 11(2), 285, 2022, https://doi.org/10.3390/math11020285  [Impact Factor: 2.5].

[61] Karam Kumar Sahoo, Raghunath Ghosh, Saurav Mallik, Arup Roy, Pawan Kumar Singh and Zhongming Zhao, "Wrapper-Based Deep Feature Optimization for Activity Recognition in the Wearable Sensor Networks of Healthcare Systems", Nature Scientific Reports, 13, 965, 2023, https://doi.org/10.1038/s41598-022-27192-w [Impact Factor: 4.996].  

[62] Amit Kumar Mishra, Shachi Negi, Esra Sipahi Döngül, Shweta Paliwal, Saurav Mallik*, and Aimin Li, "Connect with Student-Educational Consumer Brand Management Engagement: ASocial Media Management Perspective ", Special issue on ``Machine Learning embedded with Cellular Automata applied to Network Security, Cryptography and Real-time Biomedical Applications", Artificial Intelligence and Applications, bonview press, 2022, DOI: 10.47852/bonviewAIA3202496 (accepted).

[63] Saurav Mallik, Anasua Sarkar, Sagnik Nath, Ujjwal Maulik, Supantha Das, Soumen Kumar Pati, Soumadip Ghosh, Zhongming Zhao, 3PNMF-MKL: A non-negative matrix factorization based multiple kernel learning for multi-modal data integration and its application to gene signature detection, section Computational Genomics, Frontiers in Genetics, Volume 14, 2023, https://doi.org/10.3389/fgene.2023.1095330, [Impact Factor: 4.8].

[64] D Chitradevi, M Sathish Kumar, Sandeep Kumar M, Senthilkumar Mohan, Prabhu Jayagopal, Saurav Mallik*, Hong Qin*, "Hybrid Whale and Grey Wolf deep learning optimisation algorithm for prediction of Alzheimer Disease", Special issue on "Mathematical Modelling in Biology", Mathematics, 2023, 11, 1136. https://doi.org/10.3390/math11051136, [Impact Factor: 2.5].

[65] Koushik Mallick, Sikim Chakraborty, Saurav Mallik and Sanghamitra Bandyopadhyay, `"A scalable unsupervised learning of scRNAseq data detects rare cells through integration of structure-preserving embedding, clustering, and outlier detection", Briefings in Bioinformatics, bbad125, https://doi.org/10.1093/bib/bbad125  [Impact Factor: 14]. 

[66] Anjan Bandyopadhyay, Ansh Sarkar, Sujata Swain, Debajyoty Banik, Aboul Ella Hassanien, Saurav Mallik*, Aimin Li, Hong Qin*, “A Game Theoretic Approach For Rendering Immersive Experiences In The Metaverse”, Special issue of “Mathematical Modelling in Biology”, Mathematics, 2023, 11(6), 1286; https://doi.org/10.3390/math11061286 [Impact Factor: 2.5] 

[67] Brijit Bhattacharjee, Bikash Debnath, Jadav Chandra Das, Subhashis Kar, Nandan Banerjee, Saurav Mallik*, Hong Qin*, Debashis De, "Predicting the future appearances of lost children for Information forensics with Adaptive discriminator based FLM GAN", Special issue of ``Mathematical Modelling in Biology", Mathematics, 2023, 11(6), 1345; https://doi.org/10.3390/math11061345 [Impact Factor: 2.5]

[68] Chandra Kishore, Vaishali Ji, Saurav Mallik*, Ayan Mukherji, Namrata Tomar, Soumen Kumar Pati, Aimin Li, Sinthia Roy Banerjee, Soumadip Ghosh, Raza Ali Naqvi, “A Comprehensive View on the Progress of Organoid Research with an Emphasis on its Relevance to Disease Characterization”, Biomedical and Environmental Sciences, Elsevier, 2023, doi: 10.3967/bes2023.083 (Accepted)  [Impact Factor: 2.8] 

[69] Soham Choudhuri, Manas Yendluri, Sudip Poddar, Aimin Li, Koushik Mallick, Saurav Mallik* and Bhaswar Ghosh, “Recent Advancement of Computational Drug Design Algorithms through Machine Learning and Optimization”, Special issue on “Research on Protein Phosphorylation in Genetic Diseases”, Kinases and Phosphatases, 1(2), 117-140, 2023, https://doi.org/10.3390/kinasesphosphatases1020008. 

[70] Ranjeet Kumar Rout, Saiyed Umer, Monika Khandelwal, Smitarani Pati, Saurav Mallik*, Bunil Kumar Balabantaray, Hong Qin, “Identification of Discriminant Features from Stationary Pattern of Nucleotide Bases and their Application to Essential Gene Classification”, Frontiers in Genetics, section Computational Genomics, https://doi.org/10.3389/fgene.2023.1154120 [Impact Factor: 4.77].

[71] Nhat Truong Pham, Montree Bunruangses, Phichai Youplao, Anita Garhwal, Kanad Ray, Arup Roy, Sarawoot Boonkirdram, Preecha Yupapin, Muhammad Arif Jalil, Jalil Ali, Shamim Kaiser, Mufti Mahmud, Saurav Mallik* and Zhongming Zhao, “An Exploratory Simulation Study and Prediction Model on Human Brain Behaviour and Activity using An Integration of Deep Neural Network and Biosensor Rabi Antenna”, Heliyon, CellPress 2023, 9(5), e15749, 2023, https://doi.org/10.1016/j.heliyon.2023.e15749 [Impact Factor: 3.776].  

[72] Tapas Si, Debolina Bhattacharya, Somen Nayak, Pericles B.C Miranda, Utpal Nandi, Saurav Mallik*, Ujjwal Maulik and Hong Qin, "PCOBL: A Novel Opposition-based Learning Strategy to Improve Metaheuristics Exploration and Exploitation for Solving Global Optimization Problems", IEEE Access, 2023, doi: 10.1109/ACCESS.2023.3273298  [Impact Factor: 3.476].

[73] Soumen Kumar Pati, Manan Kumar Gupta, Ayan Banerjee, Saurav Mallik*, Zhongming Zhao, "PPIGCF: A Protein-Protein Interaction-based Gene Correlation Filter for Optimal Gene Selection", Genes 2023, 14(5), 1063, https://doi.org/10.3390/genes14051063   [Impact Factor: 4.141].

[74] Tapas Si, Dipak Kumar Patra, Saurav Mallik*, Anjan Bandyopadhyay, Achyuth Sarkar, and Hong Qin, “Identification of Breast Lesion through Integrated Study of Gorilla Troops Optimization and Rotation-based Learning from MRI Images”, Nature Scientific Reports, 13, 11577 (2023). https://doi.org/10.1038/s41598-023-36300-3 [Impact Factor: 4.996].

[75] Saurav Mallik*, Soumita Seth, Amalendu Si, Tapas Bhadra and Zhongming Zhao, “Optimal Ranking and Directional Signature Classification using Integral Strategy of Multi-Objective Optimization based Association Rule Mining of Multi-Omics Data”, Frontiers in Bioinformatics, Volume 3, 2023, https://doi.org/10.3389/fbinf.2023.1182176 . 

[76] Sujata Dash, Sourav Kumar Giri, Subhendu Kumar Pani, Saurav Mallik*, Mingqiang Wang, Hong Qin, "Optimized Hybrid Deep Learning for Real-Time Pandemic Data Forecasting: Long and Short-Term Perspectives", Current Bioinformatics (Bentham Science), DOI: 10.2174/0115748936257412231120113648 [Impact Factor: 4.85]

[77] Atikul Islam, Soumita Seth, Tapas Bhadra, Saurav Mallik*, Arup Roy, Aimin Li and Manash Sarkar, “Feature Selection, Clustering and IoMT on Biomedical Engineering for Covid-19 Pandemic: A Comprehensive Review”, Journal of Data Science and Intelligent Systems, 2023 (Accepted), https://doi.org/10.47852/bonviewJDSIS3202916. 

[78] Rabia Musheer Aziz, Rajul Mahto, Aryan Das, Saboor Uddin Ahmed, Priyanka Roy, Saurav Mallik*, and Aimin Li, “CO-WOA: Novel Optimization Approach for Deep Learning Classification of Fish Image”, Chemistry and Biodiversity, Wiley, 2023, Aug;20(8):e202201123. doi: 10.1002/cbdv.202201123  [Impact Factor: 2.745]. 

[79] Kirtirajsinh Zala, VYOM MODI, DEEPAK KUMAR GIRI, Biswaranjan Acharya, Saurav mallik, Hong Qin, "Unlocking Blockchain Interconnectivity: Smart Contract-driven Cross-Chain Communication",  IEEE Access, 2023 (Accepted)  [Impact Factor: 3.476].

[80] Viney Sharma, Amit Kumar Mishra, Shweta Paliwal, Saurav Mallik*, Guimin Qin, “A Framework for Server Performance Analysis in Cloud Datacenter: A Systematic Study using Memoryless Open Queuing System”, Artificial Intelligence and Applications, 2023 (accepted), (*: Corresponding author). 

[81] Saurav Mallik*, Junichi Iwata, Ruifeng Hu and Tapas Si, “Editorial: Deep Learning to Disease Prediction on Next Generation Sequencing and Biomedical Imaging Data”, Frontiers in Genetics, Volume 14, 2023, doi: 10.3389/fgene.2023.1260940 (Accepted) [Impact Factor: 4.772]. (*: Corresponding author) 

[82] Manikandan Natarajan, Pasupuleti Thejasree, Jayant P Giri, Neeraj Sunheriya, Lakshmi Narasimhamu Katta, Rajkumar B Chadge, Chetan Mahatme, Pallavi Giri, Saurav Mallik*, Kanad Ray, “Machinability of Titanium Grade 5 Alloy for Wire Electrical Discharge Machining Using a Hybrid Learning Algorithm”, Information 2023, 14(8), 439; https://doi.org/10.3390/info14080439 [Impact Factor: 3.1]. (*: Corresponding author) 

[83] SOMNATH GANGULY, JOYTI MUDI, V. MUKHERJEE, TAPAS SI, SAURAV MALLIK*, AIMIN LI, AMAL AL-RASHEED, MOHAMED ABBAS, AND AYMAN ABDULHAMMED, “Performance Analysis of Student Psychology-based Optimization for the Frequency Control of Hybrid-Power System”, IEEE Access, 2023 (accepted) [Impact Factor: 3.476]. (*: Corresponding author) 

[84] Rohit Sharma, Gautam Mahanti, Ganapati Panda, Adyasha Rath, Sujata Dash, Saurav Mallik*, Ruifeng Hu, “A Framework for Detecting Thyroid Cancer from Ultrasound and Histopathological Images Using Deep Learning, Meta-heuristics, and MCDM Algorithms”, J. Imaging 2023, 9(9), 173, 2023, https://doi.org/10.3390/jimaging9090173 [Impact Factor: 3.2].  (*: Corresponding author) 

[85] Kalyan Chatterjee, Ramagiri Kumar, Anjan Bandyopadhyay, Sujata Swain, Saurav Mallik*, Aimin Li, Kanad Ray, “PDD-ET: Parkinson’s Disease Detection using ML Ensemble Techniques and Customized Big Dataset”, Information, 2023, 14(9), 502; https://doi.org/10.3390/info14090502  [Impact Factor: 3.1]. (*: Corresponding author) 

[86] Amit Kumar Mishra, Sita Rani, Aman Kataria, Saurav Mallik, Hong Qin, “Machine Learningbased Optimal Crop Selection System in Smart Agriculture”, Nature Scientific Reports, 13, 15997 (2023). https://doi.org/10.1038/s41598-023-42356-y  [Impact Factor: 4.6]. 

[87] Syed Thouheed Ahmed, Syed Muzamil Basha, V. Muthukumaran, Sandeep Kumar Mathivanan, Saurav Mallik*, Najah Alsubaie, Mohammed S. Alqahtani, “TVFx – CoVID-19 X-Ray Images Classification Approach Using Neural Networks based Feature Thresholding Technique”, BMC Medical Imaging, 23, 146 (2023). https://doi.org/10.1186/s12880-023-01100-8  [Impact Factor: 2.7]. 

[88] PRATHAM MAJUMDER, PUNYASHA CHATTERJEE, Saurav Mallik, AMAL AL-RASHEED, MOHAMED ABBAS, MALAK S. ALQAHTANI, and BEN OTHMAN SOUFIENE, ``DRDE: Dual Run Distribution based Encoding Scheme for Sustainable IoT Applications", IEEE Access, vol. 11, pp. 102169-102188, 2023, doi: 10.1109/ACCESS.2023.3316616.  [Impact Factor: 3.476].

[89] K.R.Aravind Britto, Saravanan S, Sandeep Kumar Muthukumaran, V. Muthukumaran, Benjula Anbu Malar M.B., Saurav Mallik*, Hong Qin, A Multi-Dimensional Hybrid CNN-BiLSTM Framework for Epileptic Seizure Detection Using Electroencephalogram Signal Scrutiny , Systems and Soft Computing, Elsevier, Volume 5, December 2023, 200062, https://doi.org/10.1016/j.sasc.2023.200062

[90] Rohini A., Carol Praveen, Sandeep Kumar Mathivanan, V. Muthukumaran, Saurav Mallik, Mohammed S. Alqahtani, Amal Al-Rasheed, Ben Othman Soufiene, Multimodal Hybrid Convolutional Neural Network Based Brain Tumor Grade Classification, BMC Bioinformatics 24, 382 (2023). https://doi.org/10.1186/s12859-023-05518-3 [Impact Factor: 3.327]. 

[91] Afifa Salsabil Fathima, Syed Muzamil Basha, Syed Thouheed Ahmed, Sandeep Kumar Mathivanan, Sukumar Rajendran, Saurav Mallik*, Zhongming Zhao, "Federated Learning based Futuristic Biomedical Big-data Analysis and Standardization", PLOS ONE, 2023 18(10): e0291631, 2023, https://doi.org/10.1371/journal.pone.0291631 [Impact Factor: 3.752].

[92] Soumita Seth, Saurav Mallik*, Atikul Islam, Tapas Bhadra, Arup Roy, Pawan Kumar Singh, Aimin Li, Zhongming Zhao, Identify Genetic Signatures from Single-cell RNA Sequencing Data by Matrix Imputation and Reduced Set Gene Clustering , Mathematics, 2023, 11(20), 4315; https://doi.org/10.3390/math11204315  (accepted) [Impact Factor: 2.4]. 

[93] Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Majid Bashir Malik, Saurav Mallik*, Hong Qin, An Ensemble Learning Approach for Diabetes Prediction Using Boosting Techniques , Frontiers in Genetics, 2023, Volume 14 - 2023, https://doi.org/10.3389/fgene.2023.1252159 (accepted) [Impact Factor: 4.772]

[94] Sweta Jain, Hrudaya Kumar Tripathy, Saurav Mallik*, Hong Qin, Yara Shaalan, Khaled Shaalan, Autism Detection of MRI Brain Images Using Hybrid Deep CNN with DM-Resnet Classifier , IEEE Access, 2023, doi: 10.1109/ACCESS.2023.3325701  (accepted) [Impact Factor: 3.476]. 

[95] Kanak Kalita, Narayanan Ganesh, Sambandam Jayalakshmi, Jasgurpreet Singh Chohan, Saurav Mallik*, Hong Qin, "Multi-Objective Artificial Bee Colony Optimized Hybrid Deep Belief Network and XGBoost Algorithm for Heart Disease Prediction", Frontiers in Digital Health, 2023, Volume 5 - 2023 | https://doi.org/10.3389/fdgth.2023.1279644 (cite score: 2.2).

[96] Rohit Sharma, Gautam Kumar Mahanti, Ganapati Panda, Adyasha Rath, Sujata Dash, Saurav Mallik*, and Zhongming Zhao, “Comparative Performance Analysis of Binary Variantsof FOX Optimization Algorithm with Half-Quadratic Ensemble Ranking Method for Thyroid Cancer Detection”, Nature Scientific Reports, 13, 19598 (2023). https://doi.org/10.1038/s41598-023-46865-8  [Impact Factor: 4.847]. 

[97] Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Saurav Mallik*, and Zhongming Zhao, “Chronic Kidney Disease Prediction Using Boosting Techniques based on Clinical Parameters”, Plos One, 2023 Dec 1;18(12):e0295234. doi: 10.1371/journal.pone.0295234 [Impact Factor: 3.752].  

[98] Manikandan Dhayalan, Sheik dawood Parveen, Thirumalaisamy Sathiyapriya, Faruq Mohammad, Hamad A. Al-Lohedan, Savaas Umar Mohammed Riyaz, Rakshi Anuja Dinesh, Jayant Giri, Antony Stalin, Gangireddy Rajasekhar Reddy, Anandakumar N. and Saurav Mallik, "Evaluating the Therapeutic Importance of Gold Nanoparticles Formed by the Biogenic Synthesis Route of Madhuca longifolia Reduction", BioResources (NCSU), Vol. 19, No. 1, 823-841, 2024, DOI: 10.15376/biores.19.1.823-841 [Impact Factor: 1.747]. 

[99] Sudarshan Saikia, Tapas Si, Darpan Deb, Kangkana Bora, Saurav Mallik, Ujjwal Maulik and Zhongming Zhao, "Lesion Detection in Women Breasts Dynamic Contrast-Enhanced Magnetic Resonance Imaging using Deep Learning", Nature scientific Reports, 13, 22555 (2023). https://doi.org/10.1038/s41598 023-48553-z [Impact Factor: 4.847]. 

[100] P. Kavitha, G.Ayyappan, Prabhu Jayagopal, Sandeep Kumar Mathivanan, Saurav Mallik, Amal Al-Rasheed, Mohammed S. Alqahtani, Ben Othman Sou ene, "Detection for Melanoma Skin Cancer through ACCF, BPPF, and CLF Techniques with Machine Learning Approach", BMC Bioinformatics 24, 458 (2023), https://doi.org/10.1186/s12859-023-05584-7 [Impact Factor: 3.327] 

[101] Rajul Mahto, Saboor Uddin Ahmed, Rizwan ur Rahman, Rabia Musheer Aziz, Priyanka Roy, Saurav Mallik*, Aimin Li, Mohd Asif Shah, "A Novel and Innovative Cancer Classi cation Framework through a Consecutive Utilization of Hybrid Feature Selection", BMC Bioinformatics 24, 479 (2023). https://doi.org/10.1186/s12859-023-05605-5 [Impact Factor: 3.327]. 

[102] Sangeetha S.K.B., Sandeep Kumar Mathivanan, P Karthikeyan, Hariharan Rajadurai, Basu Dev Shivahare, Saurav Mallik*, Hong Qin, "An Enhanced Multimodal Fusion Deep Learning Neural Network for Lung Cancer Classification", Systems and Soft Computing, Elsevier, 2023, https://doi.org/10.1016/j.sasc.2023.200068 (accepted). 

[103] Manikandan Dhayalan, Wei Wang, S.U. Mohammed Riyaz, Rakshi Anuja Dinesh, Jayashree Shanmugam, Santiagu Stephen Irudayaraj, Antony Stalin, Jayant Giri, Saurav Mallik*, Ruifeng Hu, "Advances in Functional Lipid Nanoparticles: From Drug Delivery Platforms to Clinical Applications", 3 Biotech, 2024 Feb;14(2):57. doi: 10.1007/s13205-023-03901-8  [Impact Factor: 2.893]. 

[104] ANJAN BANDOPADHYAY, VAGISHA MISHRA, SUJATA SWAIN, KALYAN CHATTERJEE, SWETA DEY, SAURAV MALLIK, AMAL AL-RASHEED, MOHAMED ABBAS and BEN OTHMAN SOUFIENE, "EdgeMatch: A Smart Approach for Scheduling IoT-Edge Tasks with Multiple Criteria using Game Theory", IEEE ACCESS,  vol. 12, pp. 7609-7623, 2024, doi: 10.1109/ACCESS.2024.3350556 [Impact Factor: 3.476]. 

[105] TAPAS SI, PERICLES B.C MIRANDA, UTPAL NANDI, NANDA DULAL JANA, SAURAV MALLIK, UJJWAL MAULIK AND HONG QIN, "Opposition-based Chaotic Tunicate Swarm Algorithms for Global Optimization", IEEE ACCESS, vol. 12, pp. 18168-18188, 2024, doi: 10.1109/ACCESS.2024.3359587.  [Impact Factor: 3.9]. 

[106] ManikandanNatarajan, Thejasree Pasupuleti, Jayant Giri, Hamad A Al-Lohedan, Lakshmi Narasimhamu Katta, Faruq Mohammad, Neeraj Sunheriya, Rajkumar Chadge, Chetan Mahatme, Pallavi Giri, Saurav Mallik, T Sathish, Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm , AIP Advances, 14, 015319 (2024), https://doi.org/10.1063/5.0177658 [Impact Factor: 1.697]. 

[107] Kalyan Chatterjee, M. Raju, N. Selvamuthukumaran, M. Pramod, Anjan Bandyopadhyay, Saurav Mallik*, "HaCk: Hand Gesture Classi cation using a Convolutional Neural Network & Generative Adversarial Network based Data Generation Model", Information, 2024, Volume 15,  Issue 2, doi:  10.3390/info15020085   [Impact Factor: 3.1]. 

[108] Radhakrishna Jana, Dharmpal Singh, Saikat Maity, Hrithik Paul, Ankush Mallick, Sayani Ghatak, Saurav Mallik*, Mingqiang Wang, "Public Perception Analysis on COVID-19 Tweets using Hybridized Method", Int. J. of Computational Biology and Drug Design, 2024 (accepted). 

[109] Subhayu Ghosh, Nanda Dulal Jana, Tapas Si, Saurav Mallik*, Mohd Asif Shah, "CCLCap-AE AVSS: Cycle Consistency Loss based Capsule Autoencoders for Audio-Visual Speech Synthesis", Journal of Intelligent Systems, 2024 (Accepted) [Impact Factor: 3.2]. 

[110] Chetan Mahatme, Jayant Giri, Hamad Al-Lohedan, Faruq Mohammad, Neeraj Sunheriya, Rajkumar Chadge, SATHISH T, Pallavi Giri, Saurav Mallik, and Manikandan Dhayalan, "Performance Evaluation of a mechanical ventilation simulation model for diverse respiratory complications", AIP Advances, 2024 (Accepted) [Impact Factor: 1.697] 

[111] Sujata Dash, Sourav Kumar Giri, Saurav Mallik*, Subhendu Kumar Pani, Mohd Asif Shah, Hong Qin, "Predictive Healthcare Modeling for Early Pandemic Assessment Leveraging Deep Auto Regressor Neural Prophet", Nature Scientific Reports, 2024 (Accepted) [Impact Factor: 4.78]. 

[112] Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao, "VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection using CT Scan Images", BMC Medical Imaging, 2024 (Accepted) [Impact Factor: 2.7]. 

[113] Ankan Bhattacharya, Saurav Mallik, Extended investigations on a compact, isolation enhanced, printed MIMO antenna for higher band 5G, Wireless Personal Communications, 2024 (accepted) [Impact Factor: 1.20]. 

[114] Chetan Mahatme, Jayant Giri, Hamad A. Al-Lohedan, Faruq Mohammad, Neeraj Sunheriya, Rajkumar Chadge, Sathish T., Pallavi Giri, Saurav Mallik, Manikandan Dhayalan, "Performance evaluation of a mechanical ventilation simulation model for diverse respiratory complications", AIP Advances, 2024 (accepted) [Impact Factor: 1.697]. 

[115] Sheriff F. Mohammed Ajmal, L. Natrayan, Jayant Giri, Emad Makki, Mohd Asif Shah, Saurav Mallik*, "Utilization of response surface methodology to optimize the mechanical behaviour of flax/nano TiO2/Epoxy based hybrid composites under liquid nitrogen environment", Frontiers in Materials, Volume 11, 2024, https://doi.org/10.3389/fmats.2024.1344351 (accepted)  [Impact Factor: 3.2].

[116] Sangeetha S.K.B., Sandeep Kumar Mathivanan, Saurav Mallik*, Aimin Li, "Recognition Predictive Modelling Using Electroencephalogram", Brain & Heart, AccScience Publishing, 2024 (accepted).

[117] Sohamkumar Chauhan, Ramalingaswamy Cheruku, Damodar Reddy Edla, Kampa Lavanya, Soumya Ranjan Nayak, Jayant Giri, Saurav Mallik*, Srinivas Aluvala, Vijayasree Boddu and Hong Qin, "BT-CNN: A Balanced Binary Tree Architecture for Classification of Brain Tumour using MRI Imaging", Frontiers in Physiology, 2024 (accepted) [Impact Factor: 4].  

[118] Shweta Kharya, Sunita Soni, Abhilash Pati, Amrutanshu Panigrahi, Jayant Giri, Hong Qin, Saurav Mallik*, Debasish Swapnesh Kumar Nayak and Tripti Swarnkar, "Weighted Bayesian Belief Network for Diabetics: A Predictive Model", Frontiers in Artificial Intelligence, 2024 (Accepted), DOI 10.3389/frai.2024.1357121, [Impact Factor: 4]. 

[119] Manikandan Shenbagam, Ganesan Kanagaraj, Jayant Giri, Vincent F.Yu, Hong Qin, Saurav Mallik, "Optimizing Blood Glucose Regulation in Type 1 Diabetes: A Fractional Order Controller Approach", AIP Advances, 14, 045331 (2024), doi: 10.1063/5.0199980 [Impact Factor: 1.6]. 

[120] Geetha Venkatachalama, Jayant Giri, Saurav Mallik, Gandarvakottai Senthilkumar Arumugama, Manavalan Arulmani, Vimal Kumar Dewangan, Mukesh Doble and ZhongmingZhao, "Immunomodulatory Zymosan/I-carrageenan/ Agarose hydrogel for targeting M2 to M1 macrophages (antitumoral)", DOI: 10.1039/D3RA06978H (Paper) RSC Advances, 2024, 14, 11694-11705, [Impact Factor: 3.9]. 

[121] Syed Farah Naz, SuhaibAhmed, Shafqat Nabi Mughal, Mohammed Asger, Jadav Chandra Das, Saurav Mallik*, Mohd Asif Shah, "Optimizing Fault Tolerance of RAM cell through MUX based Modeling and Design using symmetries of QCA Cells", Nature Scientific Reports, 14, 8586 (2024), https://doi.org/10.1038/s41598-024-59185-2, [Impact Factor: 4.7].

[122]  Sundaram B. Pandya, Kanak Kalita, Pradeep Jangir, Robert Cep, Hazem Migdady Hazem Migdady, Jasgurpreet Singh Chohan, Laith Abualigah, Saurav Mallik*, "Multi-Objective RIME algorithm based Techno Economic analysis for security constraints load dispatch and power ow including uncertainties model of Hybrid Power Systems", Energy Reports, Volume 11, June 2024, Pages 4423-4451, https://doi.org/10.1016/j.egyr.2024.04.016, [Impact Factor: 4.937]. 

[123] Akram Pasha, Syed Thouheed Ahmed, Ranjith Kumar Painam, Sandeep Kumar M, P Karthikeyan, Saurav Mallik*, Hong Qin, "Leveraging ANFIS with Adam and PSO Optimizers for Parkinsons disease", Heliyon, 2024, https://doi.org/10.1016/j.heliyon.2024.e30241 (Accepted) [Impact Factor: 4]. 

[124] Gaurav Dwivedi, Monika Khandelwal, Ranjeet Kumar Rout, Saiyed Umer, Saurav Mallik*, Hong Qin, "RMSxAI: Arginine methylation sites prediction from protein sequences using Machine Learning algorithms and explainable Artificial Intelligence", Discover Applied Sciences, Springer, 6, 329 (2024). https://doi.org/10.1007/s42452-024-05898-y 

[125] Sankit Kassa, Jadav Chandra Das, Vijay Lamba, Debashis De, Bikash Debnath, Saurav Mallik*, Mohd Asif Shah, "Novel design of Cryptographic Architecture of Nanorouter using Quantum dot Cellular Automata Nanotechnology", Nature Scientific Reports, 2024 (Accepted), [Impact Factor: 4.7]. 

[126] Prakash Mohan, Vijay Anand Rajasekaran, Prasanna Santhanam, Kiruba Thangam Raja, Prabhu Jayagopal, Sandeep Kumar M, Saurav Mallik*, Hong Qin, "TPEMLB: A Novel Two-Phase Energy Minimized Load Balancing Scheme for WSN Data Collection with Successive Convex Approximation Using Mobile Sink", Ain Shams Engineering Journal, Elsevier, 2024 (Accepted), [Impact Factor: 6]. 

[127] Jeevanarao Batakala, Rudra Sankar Dhar, Kuleen Kumar, Arindam Biswas, Saurav Mallik*, Naim Ahmad, Wade Ghribi, Ahmed Said Badawy, "Exploration and Analysis of Temperature and Performance of Compound Semiconductor based Junctionless GAA FET", IEEE Access, 2024 (Accepted), [Impact Factor: 3.9]. 

[128] Vishal Pradhan, Arijit Patra, Ankush Jain, Garima Jain, Ajay Kumar, Joydip Dhar, Anjan Bandyopadhyay, Saurav Mallik, Naim Ahmad, Ahmed Said Badawy, "PERMMA: Enhancing Parameter Estimation of Software Reliability Growth Models: A Comparative Analysis of Metaheuristic Optimization Algorithms", PLoS One, 2024 (Accepted), [Impact Factor: 3.7]. 

[129] Kunjabihari Swain, Murthy Cherukuri, Indu Sekhar Samanta, Abhilash Pati, Jayant Giri, Amrutanshu Panigrahi, Hong Qin and Saurav Mallik*, "Fuzzy Markov Model for the Reliability Analysis of Hybrid Micro Grids", Frontiers in Computer Science, Volume 6- 2024, https://doi.org/10.3389/fcomp.2024.1406086 [Impact Factor: 2.6]. 

[130] Abhilash Patil, Amrutanshu Panigrahi, Manoranjan Parhi, Jayant Giri, Saurav Mallik*, Hong Qin, Sambit Ranjan Pattanayak, Umang Kumar Agrawal, "Performance Assessment of Hybrid Machine Learning Approaches for Breast Cancer and Recurrence Prediction", PLoS One, 2024 (Accepted), [Impact Factor: 3.7]. 

[131] KALYAN CHATTERJEE, MUNTHA RAJU, MACHAKANTI NAVYA THARA, MANDADI SRIYA REDDY, M. PRIYADHARSHINI, N. SELVAMUTHUKUMARAN, SAURAV MALLIK, HAYA MESFER ALSHAHRANI, MOHAMED ABBAS, BEN OTHMAN SOUFIENE, "Towards Cleaner Industries: Smart Cities Impact on Predictive Air Quality Management", IEEE Access, 2024, (Accepted) [Impact Factor: 3.7]. 

[132] Mohammed Rafi Shaik, Karthikeyan Kandaswamy, Ajay Guru, Haroon Khan, Jayant Giri, Saurav Mallik*, Mohd Asif Shah, Jesu Arockiaraj, "Piperine-Coated Zinc Oxide Nanoparticles Target Biofilms and Induce Oral Cancer Apoptosis via BCL-2/BAX/P53 Pathway", BMC Oral Health 24, 715 (2024). https://doi.org/10.1186/s12903-024-04399-z [Impact Factor: 2.9]. 

[133] Rahul Thakur, Geeta Sikka, Urvashi Bansal, Jayant Giri and Saurav Mallik, "Deadline-aware and energy efficient IoT task scheduling using fuzzy logic in fog computing", Multimedia Tools and Applications (2024). https://doi.org/10.1007/s11042-024-19509-w (Accepted) [Impact Factor: 3.6]. 

[134] Sayak Gupta, Manash Sarkar, Saptarshi Gupta, Kanad Ray, Saurav Mallik, Malak S. Alqahtani, Amal Al-Rasheed, Mohamed Abbas, Ben Othman Soufiene, "Telecom Service Quality for Customer Satisfaction and Customer Loyalty at A1 Metro City", Nature Humanities and Social Sciences Communications (accepted) [Impact Factor: 2.7]. 

[135] Bhalaji Kharthik K.S., Edeh Michael Onyema, Saurav Mallik*, B.V.V. Siva Prasad, Hong Qin, Selvi C, Sikha O K, "Transfer Learned Deep Feature Based Crack Detection Using Support Vector Machine: A Comparative Study", Nature Scientific Reports, 14, 14517 (2024), https://doi.org/10.1038/s41598-024-63767-5, [Impact Factor: 4.9]. 

[136] Babita Majhi, Aarti Kashyap, Siddhartha Suprasad Mohanty, Sujata Dash, Saurav Mallik*, Aimin Li and Zhongming Zhao, "An improved method for diagnosis of Parkinsons disease using deep learning models enhanced with metaheuristic algorithm", BMC Medical Imaging, 24, 156 (2024). https://doi.org/10.1186/s12880-024-01335-z [Impact Factor: 2.7]. 

[137] Utkarsh Pandey, Parulpreet Singh, Raghvendra Singh, Vivek Kumar, Kanad Ray, Saurav Mallik, Haya Mesfer Alshahrani, E.ELSHIEKH, Mohamed Abbas and Ben Othmane Soufiene, "Ultra Wideband Microstrip Folded Antenna for Wireless LAN, 5G and Internet of Things Applications", Nature Scientific Reports, 2024 (Accepted) [Impact Factor: 4.9]. 

[138] Suparna Saha, Soumita Seth, Soumadip Ghosh, Guimin Qin, Tapas Bhadra, Soumen Kumar Pati, Somenath Chakraborty, Saurav Mallik*, "DeMoS: Dense Module based Gene Signature Detection through Quasi-Clique: An Application to Cervical Cancer Prognosis", Network Modeling Analysis in Health Informatics and Bioinformatics (NHIB), Springer, 13, 36 (2024), https://doi.org/10.1007/s13721-024-00470-5 [Impact Factor: 2.3].

[139] Abhilash Pati, Amrutanshu Panigrahi, Manoranjan Parhi, Jayant Giri, Hong Qin, Saurav Mallik*, Sambit Ranjan Pattanayak, Umang Kumar Agrawal, "Performance Assessment of Hybrid Machine Learning Approaches for Breast Cancer and Recurrence Prediction", PLOS One, 2024, https://doi.org/10.1371/journal.pone.0304768 [Impact Factor: 2.9].

[140] Abdul Hamid Ganie, Saurav Mallik*, Mashael M. AlBaidani, Adnan Khan, Mohd Asif Shah, "Novel Analysis of Nonlinear Seventh Order Fractional Kaup-Kupershmidt Equation via the Caputo Operator", Boundary Value Problems, Springer, 2024, 87 (2024). https://doi.org/10.1186/s13661-024-01895-7 [Impact Factor: 1].

[141] Partha Banerjee, Aritra Acharyya, Rajib Das, Arindam Biswas, A. K. Bhattacharjee, Saurav Mallik, Haya Mesfer Alshahrani, E.ELSHIEKH, Mohamed Abbas and Ben Othman Souene, "Mutually Injection Locked Multi-Element Terahertz Oscillator Based on AlGaN/GaN High Electron Mobility Avalanche Transit Time Devices", IEEE ACCESS, 2024, DOI: 10.1109/ACCESS.2024.3424770 [Impact Factor: 3.7].

[142] Harendra Singh, Arun Kumar Rana, Jayant Giri, Mohd Asif Shah, Saurav Mallik and T. Sathish, "Automatic Machine Learning Model for Enhanced Partition and Identication of Breast Disorders in Breast MRi Scan", Computer Method in Biomechanics and Biomedical Engineering: Imaging and Visualization, Taylor & Francis, 12(1), 2024, https://doi.org/10.1080/21681163.2024.2378734 [Impact Factor: 1.6].

[143] Pritam Chakraborty, Anjan Bandyopadhyay, Preeti Padma Sahu, Aniket Burman, Saurav Mallik, Najah Alsubaie, Mohamed Abbas, Mohammed S. Alqahtani, Ben Othman Souene, "Predicting Stroke Occurrences: A Stacked Machine Learning Approach with Feature Selection and Data Preprocessing", BMC Bioinformatics, (2024) 25:329, https://doi.org/10.1186/s12859-024-05866-8 [Impact Factor: 2.9].

[144] P. ANURADHA, PRATHAM MAJUMDER, KANITHAN SIVARAMAN, N ARUNVIGNESH, ARUN JAYAKAR S, S ANTHONIRAJ, Saurav Mallik, AMAL AL-RASHEED, MOHAMED ABBAS, and BEN OTHMAN SOUFIENE, "Enhancing High-Speed Data Communications: Optimization of Route Controlling Network on Chip Implementation", IEEE Access, 2024,

doi: 10.1109/ACCESS.2024.3427808 (accepted) [Impact Factor: 3.7].

[145] Aimin Li, Haotian Zhou, Siqi Xiong, Junhuai Li, Saurav Mallik, Rong Fei, Yajun Liu, Hongfang Zhou, Xiaofan Wang, Xinhong Hei, Lei Wang, "PLEKv2: predicting lncRNAs and mRNAs based on intrinsic sequence features and the Coding-Net model", BMC Genomics, 25, 756 (2024). https://doi.org/10.1186/s12864-024-10662-y [Impact Factor: 4.4].

[146] Parthasarathy Ramadass, Raja shree Sekar, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Basu Dev Shivahare, Saurav Mallik*, Naim Ahmad, Wade Ghribi, "BSDN-HMTD: A Blockchain Supported SDN Framework for Detecting DDoS Attacks using Deep Learning Method", Egyptian Informatics Journal, Volume 27, September 2024, 100515, https://doi.org/10.1016/j.eij.2024.100515, [Impact Factor: 5].

[147] KALYAN CHATTERJEE,SAMLA SURAJ KUMAR,RAMAGIRI PRAVEEN KUMAR, ANJAN BANDYOPADHYAY, SUJATA SWAIN, SAURAV MALLIK, AMAL AL-RASHEED, MOHAMED ABBAS, BEN OTHMAN SOUFIENE, "Future Air Quality Prediction using Long Short-Term Memory based on Hyper Heuristic Multi-Chain Model", IEEE Access, vol. 12, pp. 123678-123693, 2024, doi: 10.1109/ACCESS.2024.3441109 [Impact Factor: 3.7].

[148] Kasmika Borah, Himanish Shekhar Das, Soumita Seth, Koushik Mallick, Zubair Rahaman, Saurav Mallik*, "A Review on Advancements in Feature Selection and Feature Extraction for High-Dimensional NGS Data Analysis", Functional & Integrative Genomics, Springer, 24, 139 (2024). https://doi.org/10.1007/s10142-024-01415-x [Impact Factor: 3.9].

[149] R.Gayathri, S.K.B.Sangeetha, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Benjula Anbu Malar M.B., Saurav Mallik and Hong Qin, "Enhancing Heart Disease Prediction with Reinforcement Learning and Data Augmentation", Systems and Soft Computing, Springer, Volume 6, December 2024, 200129, https://doi.org/10.1016/j.sasc.2024.200129

[150] Sandeep Kumar M, J Prabhu, Saurav Mallik, "Early Detection of Banana Leaf Disease Using Novel Deep Convolutional Neural Network", Journal of Data Science and Intelligent Systems, 2024 (accepted), https://doi.org/10.47852/bonviewJDSIS42021530.

[151] S.L. Jany Shabu, J. Refonaa, Saurav Mallik*, D. Dhamodaran, L.K. Joshila Grace, Amel Ksibi, Manel Ayadi, Tagrid Abdullah N. Alshalali, "An improved adaptive neuro-fuzzy inference framework for Lung Cancer Detection & Prediction on Internet of Medical things platform", International Journal of Computational Intelligence Systems, Springer, 17, 228 (2024). https://doi.org/10.1007/s44196-024-00635-0 [Impact Factor: 2.5].

[152] Sangeetha S.K.B., Rajeshwari Rajesh Immanuel, Sandeep KumarMathivanan, Prabhu Jayagopal, Sukumar Rajendran, Saurav Mallik and Aimin Li, "Smart Irrigation System Using Soil Moisture Prediction with Deep CNN for Various Soil Types", Articial Intelligence and Applications, 2024, DOI: 10.47852/bonviewAIA42021514

[153] Pratham Majumder, Arkita Pal, D. Ramya Dorai, B. Gopinathan, Saurav Mallik*, Naim Ahmad, Ahmed Said Badawy and Suresh Babu Changalasetty, "Accelerating Depression Intervention: Identifying Critical Psychological Factors Using MCDM-MOORA Technique for Early Therapy Initiation", BMC Annals of General Psychiatry, 23, 35 (2024), https://doi.org/10.1186/s12991-024-00518-w [Impact factor: 3.6].

[154] Abdul Hamid Ganie, Adnan Khan, N.S. Alharthi, Mohd Asif Shah, Saurav Mallik*, "An efficient analytical approaches to investigate nonlinear two-dimensional time-fractional Rosenau-Hyman equations within the Yang transform", AIP Advances, 14, 095220 (2024), https://doi.org/10.1063/5.0228042, [[Impact factor: 1.4].

[155] Dipshika Das, Rudra Sankar Dhar, Pradip Kumar Ghosh, Arindam Biswas, Saurav Mallik*, Naim Ahmad, Wade Ghribi,\Dielectric modulated charge plasma-based label free detection of biomolecules in dual metal DG TFET biosensors", IEEE Access, 2024 (accepted) doi: 10.1109/ACCESS.2024.3463729, [Impact factor: 3.6].

[156] Ramprasath J, Krishanraj N, Alfred Daniel J, Chandru Vignesh Chinnappan, Dr. Jayant Giri, Hong Qin and Saurav Mallik, "Heuristic Machine Learning Approaches for Identifying Phishing Threats Across Web and Email Platforms", Frontiers in Articial Intelligence, 2024, doi: 10.3389/frai.2024.1414122 (Accepted) [Impact factor: 3].

[157] Pratima Chatterjee, Prasun Ghosal, Sahadeb Shit, Arindam Biswas, Saurav Mallik, Sarah Allabun, Manal Othman, Almubarak Hassan Ali, E. Elshiekh and Ben Othman Souene, "Ribosomal Computing: Implementation of the Computational Method", BMC Bioinformatics, 25, 321 (2024). https://doi.org/10.1186/s12859-024-05945-w [Impact factor: 2.9].

[158] Rajkumar Prabhakaran, Rajkumar Thamarai, Sivabalan Sivasamy, Sivanesan Dhandayuthapani, Jyoti Batra, Chinnaperumal Kamaraj, Krishnasamy Karthik, Mohd Asif Shah, Saurav Mallik*, "Epigenetic Frontiers: MiRNAs, Long Non-Coding RNAs and Nanomaterials are Pioneering to Cancer Therapy", BMC Epigenetics & Chromatin, 17, 31 (2024). https://doi.org/10.1186/s13072-024-00554-6 [Impact factor: 4.2].

[159] Madhumita Pal, Ganapati Panda, Ranjan K. Mohapatra, Adyasha Rath, Sujata Dash, Mohd Asif Shah, Saurav Mallik*, "Ensemble approach of deep learning models for binary and multiclass classication of histopathological images for breast cancer", Pathology - Research and Practice, elsevier, Volume 263, November 2024, 155644, https://doi.org/10.1016/j.prp.2024.155644 [Impact factor: 2.9].

[160] Aimin Li, Mingyue Li, Rong Fei, Saurav Mallik, Bo Hu, Yue Yu, "EcientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-cell Data", Interdisciplinary Sciences: Computational Life Sciences, Springer, 17, 166{184 (2025), https://doi.org/10.1007/s12539-024-00667-2 [Impact factor: 3.9].

[161] Ramprasath J, Krishanraj N., Alfred Daniel J., Chandru Vignesh Chinnappan, Jayant Giri, Hong Qin, Saurav Mallik, "Heuristic Machine Learning Approaches for Identifying Phishing Threats Across Web and Email Platforms", Frontiers Articial Intelligence, 2024 Volume 7, 2024, [Impact factor: 3].

[162] Rudresh Pillai, Neha Sharma, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Saurav Mallik*, Hong Qin, Mohammed S. Alqahtani, Amel Ksibi, "Enhanced Skin Cancer Diagnosis through Grid Search Algorithm-Optimized Deep Learning Models for Skin Lesion Analysis", Frontiers in Medicine, 2024 Nov 7:11:1436470. doi: 10.3389/fmed.2024.1436470. eCollection 2024. [Impact factor: 3.1]

[163] Ghanashyam Sahoo, Ajit Kumar Nayak, Pradyumna Kumar Tripathy, Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Chandrakanta Mahanty, Saurav Mallik*, "Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models", Current Oncology, 2024 Oct 24; 31(11):6577-6597, DOI: 10.3390/curroncol31110486, [Impact factor: 2.257].

[164] Garvita Ahuja, Ishleen Kaur, Puneet Singh Lamba, Deepali Virmani, Achin Jain, Somenath Chakraborty, Saurav Mallik*, "Prostate Cancer Prognosis using Machine Learning: A Critical Review of Survival Analysis Methods", Pathology - Research and Practice, Elsevier, Volume 264, December 2024, 155687, https://doi.org/10.1016/j.prp.2024.155687 [Impact factor: 2.9].

[165] Sayantani Mandal, Subhayu Ghosh, Nanda Dulal Jana, Somenath Chakraborty, Saurav Mallik*, "Active Learning with Particle Swarm Optimization for Enhanced Skin Cancer Classication utilizing Deep CNN Models", Journal of Imaging Informatics in Medicine, 2024 (Accepted), https://doi.org/10.1007/s10278-024-01327-z, [Impact factor: 4.4]

[166] Suneel Kumar Rath, Madhusmita Sahu, Shom Prasad Das, Hrudaya Kumar Tripathy, Mohd Asif Shah, Saurav Mallik*, "An Optimised Hybrid ELSVM-BRO Model for Predicting Software Reliability", Discover Articial Intelligence, 2024 (accepted).

[167] Abdul Hamid Ganie, N.S. Alharthi, Adnan Khan, Abdulka Mohammed Saeed, Mohd Asif Shah, Saurav Mallik*, "The Series Solutions of Fractional Foam Drainage and Fractional Modied Regularized LongWave Problems", Journal of Inequalities and Applications, Springer, 2024, 150 (2024). https://doi.org/10.1186/s13660-024-03227-w [Impact factor: 1.5]

[168] Radha Krishna Jana, Dharmpal Singh, Saikat Maity, Ankush Mallick, Soumita Seth, Somenath Chakraborty, Saurav Mallik*, "Perception Analysis about Drug Tweets: A Performance Analysis of Different Approaches", International Journal of Data Analysis Techniques and Strategies, 2024 (accepted).

[169] Ravichandran M, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Benjula Anbu Malar M.B., Saurav Mallik*, Hong Qing, "Adamic{Adar Similarity Indexed Wald Boost Data Classication for Diabetic Disease Diagnosis with Big Data", Systems and Soft Computing, Volume 6, December 2024, 200175, https://doi.org/10.1016/j.sasc.2024.200175 (accepted).

[170] Rajesh P. Shastry*, Sudeep D. Ghate, R. Shyama Prasad Rao, Jayant Giri, Saurav Mallik, and Zhongming Zhao, "Guaiazulene and aureusidin inhibit metabolic adaptability and virulence in pathogen Candida by targeting the glyoxylate cycle under alternative carbon conditions", Green Chemistry Letters and Reviews, November 2024, VOL. 18, NO. 1, 2438073, https://doi.org/10.1080/17518253.2024.2438073, [Impact factor: 5.8].

[171] Saravanapriya Manoharan, Ramesh Sundar, Jayant Giri, Hong Qin, Saurav Mallik, Natter Kannan K, Prakash Mathialagan, "Deep Neural Network optimization using Improved Genetic Algorithm for Prevalence based Personalised News Recommendation System", Connection Science, November 2024 (accepted) [Impact factor: 3.2].

[172] SKB Sangeetha, Sandeep Kumar Mathivanan, Saurav Mallik, and Hong Qin, "Ground Theory Based Empirical Analysis of Security Issues and Challenges Associated with Internet of Things", Artificial Intelligence and Applications, Vol. 4, No. 1 (2026), DOI: 10.47852/bonviewAIA52022523.

[173] Tapas Si, Pericles B.C Miranda, Utpal Nandi, Nanda Dulal Jana, Ujjwal Maulik, Saurav Mallik*, and Mohd Asif Shah, "QSHO: Quantum Spotted Hyena Optimizer for Global Optimization", Articial Intelligence Review, 58, 71 (2025), https://doi.org/10.1007/s10462-024-11072-y [Impact factor: 10.7].

[174] Priya Das, Sarita Nanda, Ganapati Panda, Sujata Dash, Amel Ksibi, Shrooq Alsenan, Wided Bouchelligua, Saurav Mallik*, "A Robust Parkinson's Disease Detection Model Based on Time-varying Synaptic Ecacy Function in Spiking Neural Network", BMC Neurology, 24, 492 (2024), https://doi.org/10.1186/s12883-024-04001-7 [Impact factor: 2.2].   

[175] Swapandeep Kaur, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Ali Nauman, Mudassir Khan, Izhar Husain, Asharul Islam, Saurav Mallik*, "High-Accuracy Lung Disease Classication via Logistic Regression and Advanced Feature Extraction Techniques", Egyptian Informatics, Elsevier, Volume 29, March 2025, 100596, https://doi.org/10.1016/j.eij.2024.100596 [Impact factor: 5].

[176] Libin Chakkata Thomas, Naveen Kumar Akkasali, Jayant Giri, Hamad A. Al-Lohedan, Vikash Kumar, Subrata Kumar Panda, Saurav Mallik, "Static Detection Prediction of Damaged Glass Fiber-Reinforced Metal Laminated Composite and Experimental Validation", Polymer Composites, Wiley, January 2025, https://doi.org/10.1002/pc.29477 [Impact factor: 4.8].

[177] R. Naresh, G. Kanagaraj, Jayant Giri, Vincent F. Yu, Amanullah Fatehmulla, Saurav Mallik, "Cost-Efficient Design and Optimization of Robotic Assembly Lines Using a Non-Dominated Sorting Genetic Algorithm Framework", Nature Scientic Reports, (2025) 15:9367, January 2025, https://doi.org/10.1038/s41598-025-86171-z [Impact factor: 3.7].

[178] Kalyan Chatterjee, Machakanti Navya Thara, Mandadi Sriya Reddy, N. Selvamuthukumaran, M. Priyadharshini, Tummala Abhinav Vardhan Reddy, Somenath Chakraborty, Saurav Mallik*, Mohd Asif Shah, Aimin Li, "EcoSense: A Revolution in Urban Air Quality Forecasting for Smart Cities", BMC Research Notes, January 2025, 18, 62 (2025). https://doi.org/10.1186/s13104-025-07099-1, [Impact factor: 1.6].

[179] Sagarika Sengupta, Genevieve Chyrmang, Kangkana Bora, Himanish Shekhar Das, Aimin Li, Bernardo Lemos, Saurav Mallik*, "Assessment of different U-Net backbones in Segmenting Colorectal Adenocarcinoma from H&E Histopathology", Pathology - Research and Practice, January 2025, Volume 266, February 2025, 155820, https://doi.org/10.1016/j.prp.2025.155820 [Impact factor: 2.9].

[180] Sujeet Kumar, Madugula Naveen Srinivas, Naveen Kumar, Jayant Giri, Amanullah Fatehmulla, Saurav Mallik, "Evaluation of Microstructural and Mechanical Qualities in Optimized TIG-Welded SDSS 2507 Joints", Materials Science Poland, Volume 42, Issue 4, pp. 163-179, DOI: 10.2478/msp-2024-0051.

[181] Sangeetha S.K.B., Sandeep Kumar Mathivanan, Azath M., Ravinder Beniwal, Naim Ahmad, Wade Ghribi, Saurav Mallik*, "Advanced Segmentation Method for integrating Multi-omics Data for Early Cancer Detection", Egyptian Informatics, Volume 29, March 2025, 100624, https://doi.org/10.1016/j.eij.2025.100624 [Impact factor: 5].

[182] Ankit Gangwar, Nikita Kumari, Naveen Kumar Akkasali, Vikash Kumar, Jayant Giri, Amanullah Fatehmulla, Subrata Kumar Panda, Saurav Mallik, "Interval Based Uncertain Dynamic Analysis of Nanotube-Reinforced Polymeric Composite Panel using Fuzzied FEM-Numerical and Experimental Validation", International Journal of Structural Stability and Dynamics, February 2025, https://doi.org/10.1142/s0219455426501762 (accepted)

[183] Kasmika Borah, Himanish Shekhar Das, Ram Kaji Budhathoki, Khursheed Aurangzeb, Saurav Mallik, "DOMSCNet: A Deep Learning Model for the Classification of Stomach Cancer using Multi-Layer Omics Data", Briengs in Bioinformatics, Volume 26, Issue 2, March 2025, bbaf115, https://doi.org/10.1093/bib/bbaf115 [Impact factor: 13.99].

[184] Kalyan Chatterjee, Muntha Raju, Bhoomeshwar Bala, U. Nikitha, Gampala Prabhas, Naim Ahmas, Ayman Qahmash, Wade Ghribi, Bernardo Lemos, Saurav Mallik*, "Indoor Air Wellness: A Predictive Model for Pollution Control Using Advanced AI Techniques", IEEE Access, vol. 13, pp. 42099-42115, 2025, doi: 10.1109/ACCESS.2025.3547808. [Impact factor: 3.4].

[185] Smitirekha Behuria, Sujata Swain, Anjan Bandyopadhyay, Mohammad Khalid Al-Sadoon, Saurav Mallik*, "PRFE-Driven Gene Selection with Multi-Classier Ensemble for Cancer Classication", Egyptian Informatics, Volume 30, June 2025, 100637, https://doi.org/10.1016/j.eij.2025.100637 [Impact factor: 5].

[186] Dhananjay Kumar, Naveen Kumar Akkasali, Ankit Gangwar, Pradeep Kumar Mishra, Gaurav Kumar, Mostazur Rahaman, Subrata Kumar Panda, Jayant Giri, Saurav Mallik, "Theoretical and Experimental Modal Analysis of Polymeric Hybrid Lap Joint Structure with and without Damage", Polymer Composites, March 2025, https://doi.org/10.1002/pc.29797.

[187] Md. Amir Khusru Akhtar, Mohit Kumar, Sahil Verma, Kavita, Subhita, Mohd Asif Shah, Saurav Mallik*, "Ghost Optimization: Harnessing Spectral Forces for Enhanced Optimization", Journal of Intelligent Systems, March 2025 (accepted) [Impact factor: 2.1].

[188] Debendra Muduli, Shantanu Shookdeb, Sujata Dash, Izhar Husain, Mudassir Khan, Asharul Islam, Saurav Mallik*, "Enhancing Skin Cancer Detection with Explainable Articial Intelligence: A Customized Extended Deep U-shaped Encoder Decoder Network Approach", Journal of King Saud University - Science, Elsivier/Scientic Scholar, March 2025, 2025:37;2802024, doi: 10.25259/JKSUS2802024; [Impact factor: 3.5]

[189] Genevieve Chyrmang, Barun Barua, Kangkana Bora, Gazi N Ahmed, Anup Kr. Das, Lopamudra Kakoti, Bernardo Lemos, Saurav Mallik*, "Self-HER2Net: A Generative Self-Supervised Framework for HER2 Classication in IHC Histopathology of Breast Cancer", Pathology - Research and Practice, Elsivier, April 2025, https://doi.org/10.1016/j.prp.2025.155961 [Impact factor: 2.9].

[190] Madhulata Kumari, Alanoud T. Alfagham, Abdallah M. Elgorban, Saurav Mallik*, Bernardo Lemos, Kanad Ray, "Development of Convolutional Neural Network-based QSAR model to Predict Cardiotoxicity and Principal Component Analysis, Fingerprint Analysis", Journal of King Saud University - Science, Elsevier/Scientic Scholar, April 2025, 2025:37; 3112024, doi: 10.25259/JKSUS3112024

[191] Anjan Bandyopadhyay, Utkarsh Choudhary, Vaibhav Tiwari, Kaushtab Mukherjee, Sapthak Mohajon Turjya, Naim Ahmad, Abid Haleem, Saurav Mallik*, "Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach", Mathematics, April 2025, 2025, 13, 1392, https://doi.org/10.3390/math13091392 [Impact factor: 2.3].

[192] B. Srirekha, Shakeela Sathish, Krishnasamy Kartthik, Khursheed Aurangzeb, Musaed Alhussein, Saurav Mallik*, "Object-Oriented Concept Approach on Rough Granular Lattice with Discernibility Object Granular", Contemporary Mathematics, May 2025 (accepted) [Impact factor: 0.6].

[193] Pijush Bairi, Sujata Swain, Anjan Bandyopadhyay, Khursheed Aurangzeb, Musaed Alhussein, Saurav Mallik*, "Intelligent VANET-based Trac Signal Control System for Emergency Vehicle Prioritization and Improved Trac Management", Egyptian Informatics, Volume 30, June 2025, 100700, https://doi.org/10.1016/j.eij.2025.100700, [Impact factor: 5].

[194] Naresh Kumar Jothi, Lakshmi A., Krishnasamy Karthik, Musaed Alhussein, Khursheed Aurangzeb, Bernardo Lemos, Saurav Mallik*, "Dual-approach modelling of tuberculosis treatment: An innovative eight-dimensional structure", PeerJ Computer Science, May 2025 (accepted) [Impact factor: 3.8].

[195] Megan S. Doldron, Sourav Chakraborty, Santosh Anand, Mehwish Faheem, Beh Reh, Xuegeng Wang, Saurav Mallik, Zhenquan Jia and Ramji Kumar Bhandari, \Cellular and Transcriptional Responses of Human Bronchial Epithelial Cells to Delta-9-Tetrahydrocannabinol In Vitro", International Journal of Molecular Sciences, 26 (11), 5212, May 2025, https://doi.org/10.3390/ijms26115212, [Impact Factor: 4.9].

[196] D. Chitradevi, S. Prabha, Sandeep Kumar Mathivanan, Manu Singh, Saurav Mallik, "A Comprehensive Hybrid Model: Combining Bioinspired Optimization and Deep Learning for Alzheimer`s Disease Identication", Computers in Biology and Medicine, Elsevier, June 2025, Volume 195, September 2025, 110654, https://doi.org/10.1016/j.compbiomed.2025.110654, [Impact Factor: 7].

[197] Priyanka Singh, K Jyothsna Devi, Tousif Khan Nizami, Choudhary Shyam Prakash, Hiren Kumar Thakkar, Syed Abid Hussain, and Saurav Mallik*, "Ensuring Integrity and Security of Medical Image Transmission in IoMT using Highly Imperceptible and Robust Watermarking Approach", Nature Scientic Reports, July 2025, 15, 26058 (2025). https://doi.org/10.1038/s41598-025-11023-9, [Impact Factor: 3.9].

[198] Pritam Chakraborty, Anjan Bandyopadhyay, Sricheta Parui, Sujata Swain, Partha Sarathy Banerjee, Tapas Si, Hong Qin, and Saurav Mallik*, "OptiSelect and EnShap: Integrating Machine Learning and Game Theory for Ischemic stroke prediction", PLoS One 20(8): e0328967, https://doi.org/10.1371/journal.pone.0328967, [Impact Factor: 2.9].

[199] Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah and Saurav Mallik*, "Uncertainty management in multiobjective electric vehicle integrated optimal power low based hydrothermal scheduling of renewable power system for environmental sustainability", Nature Scientic Reports, July, 2025, 15, 29025 (2025),

https://doi.org/10.1038/s41598-025-12757-2 [Impact Factor: 3.9].

[200] Ankita Saha, Shibakali Gupta, Chyan Paul, Saurav Mallik, Korhan Cengiz, "Recent Advancement in Genetic Feature Marker Discovery using Differential Expression and Biostatistical Studies", Articial Intelligence in Health, Accsciences, 025180036 https://doi.org/10.36922/AIH025180036.

[201] Alex Varghese, Achin Jain, Mohammed Inamur Rahman, Mudassir Khan, Arun Kumar Dubey, Iqrar Ahmed, Yash Prakash Narayan, Arvind Panwar, Anurag Choubey, Saurav Mallik*, "Robust Skin Cancer Detection Through CNN-Transformer-GRU Fusion and Generative Adversarial Network based Data Augmentation", Computer Modeling in Engineering & Sciences, Volume 144, Issue 2, 31 August 2025, Pages 1767-1791, https://doi.org/10.32604/cmes.2025.067999 [Impact Factor: 2.5]. 

[202] Anjan Bandyopadhyay, Sahil Islam, Sapthak Mohajon Turjya, Anurag Pal, Sujata Swain, Neeraj Sharma, Aimin Li, Saurav Mallik*, "AI-Integrated Quantum Computing for Optimized UAV Systems", Journal of Communications, July, 2025, Vol.20(6): 657-680, Doi: 10.12720/jcm.20.6.657-680.

[203] Arvind Panwar, Urvashi Sugandh, Achin Jain, Vanita Jain, Arun Kumar Dubey, Saheli Majumdar, and Saurav Mallik*, "Enhancing Trust and Transparency in Education using Blockchain: A Hyperledger Fabric-Based Framework", Articial Intelligence and Applications, August, 2025, DOI: 10.47852/bonviewAIA52026268.

[204] Aimin Li, Haotian Zhou, Rong Fei, Juntao Zou, Xiguo Yuan, Yajun Liu, Saurav Mallik, Xinhong Hei, Lei Wang, "Hi-Enhancer: a two-stage framework for prediction and localization of enhancers based on Blending-KAN and Stacking-Auto models", Bioinformatics, 2025;, btaf441, https://doi.org/10.1093/bioinformatics/btaf441, [impact factor: 5.4].

[205] Muhammad Ehsan Rana, Vazeerudeen Abdul Hameed, Ian Kiew Yi Eng, Hrudaya Kumar Tripathy, Saurav Mallik*, \Harnessing Articial Intelligence for Sustainable Rice Leaf Disease Classication", Frontiers in Plant Science, Volume 16 - 2025, https://doi.org/10.3389/fpls.2025.1594329, [impact factor: 4.8].

[206] Shruti Kundu, Twinkle Gupta, Akash Sardar, Anjan Bandyopadhyay, Sujata Swain, Saurav Mallik*, "A Survey on Quantum Computing: Transforming Cryptography, AI/ML, Blockchain, and Network Communication", Franklin Open, Volume 12, September 2025, 100371, https://doi.org/10.1016/j.fraope.2025.100371

[207] Amol Avinash Joshi, Akshara Makrariya, Rabia Musheer Aziz, Ankita Saha, Korhan Cengiz, Saurav Mallik*, "A Review on AI-Driven Metaheuristic Optimization and Deep Learning for Precision Cancer Gene Selection and Classication", Gene & Protein in Disease, accscience publishers, October 2025, doi: 10.36922/GPD025230044 (accepted).

[208] Vipin Chandra, Matheus Roque, Kshitiz Murdia, Nitiz Murdia, Shashank V Sanagoudar, Nagadeepti Naik, Shipra Nigam, Anjali Ghanlan, Walmik Mistari, Isha Suwalka, Ankita Saha, Korhan Cengiz, Saurav Mallik*, "Intramuscular Progesterone and FET Outcomes: Challenging the Need for Serum Level Monitoring Insights from a Multicenter Perspective Study", Innovative Medicines & Omics, accscience publishers, 2(4), 93-101, October 2025, https://doi.org/10.36922/IMO025310037

[209] Debasish Swapnesh Kumar Nayak, Abhilash Pati, Amrutanshu Panigrahi, Mudassir Khan, Bayan Alabdullah, Santanu Kumar Sahoo, Bibhuprasad Sahu, Abrar Almjally, Saurav Mallik* and Tripti Swarnkar, "aiGeneR 3.0: an enhanced deep network model for resistant strain identication and multi-drug resistance prediction in Escherichia coli causing urinary tract infection using next generation sequencing data", Frontiers in Genetics, October 2025, 16:1651917, doi: 10.3389/fgene.2025.165191

[210] Soumita Seth, Debangshu Bhattacharjee, Anusree Dam, Provat Mondal, Tapas Bhadra, Saurav Mallik, "Streamlit-Powered Cloud Platform for Early Detection of Cardiovascular Diseases Using Machine Learning", Brain & Heart, AccScience Publishing, 025340047, November 2025, DOI: 10.36922/BH025340047.

[211] Ashokkumar P, Sathesh kumar, Mudassir Khan, Mazliham Mohd Su'ud, Muhammad Mansoor Alam, Saurav Mallik*, "Ant Colony Optimization for Feature Selection in Breast Cancer Classication", Egyptian Informatics, Volume 32, December 2025, 100847, https://doi.org/10.1016/j.eij.2025.100847 [impact factor: 5].

[212] Kasmika Borah, Himanish Shekhar Das, Mudassir Khan, Saurav Mallik, "RankXLAN: An Explainable Ensemble-based Machine Learning Framework for Biomarker Detection, Therapeutic Target Identication, and Classication using Transcriptomic and Epigenomic Stomach Cancer data", Medical Data Mining, TMR Publishing Group, 2026;9(1):3. doi:10.53388/MDM202609003, https://www.tmrjournals.com/article.html?Jnum = 11aid = 3822.

[213] Gitanjali Gupta, Meena Malik, Ramandeep Sandhu, Chander Prabha, Aimin Li and Saurav Mallik*, "HD-SMART: A Novel Machine Learning Framework for High-Accuracy Cardiovascular Risk Prediction Using Advanced Feature Engineering", Articial Intelligence and Applications, December 2025, https://doi.org/10.47852/bonviewAIA62026305.

[214] Sankar Murugesan, K Hemalatha, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Karthikeyan Panneerselvam, Naim Ahmad, Abid Haleem, Saurav Mallik, "BDST: Boundary-Dependent Deviating Segmentation Technique using Concurrent Layer Learning", Egyptian Informatics, Volume 33, March 2026, 100896, https://doi.org/10.1016/j.eij.2026.100896, [impact factor: 5].

[215] Smiti Behuria, Sujata Swain, Anjan Bandyopadhyay, Mingqiang Wang, Saurav Mallik, "Quantum-Infused Deep Learning for Dual-Task Thyroid Ultrasound Diagnostics", Articial Intelligence in Health, 026050007, https://doi.org/10.36922/AIH026050007. 

[216] Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, B K Madhavi, Janmejaya Mishra, Saurav Mallik, "Robust Feature Selection for Cancer Microarray Data Using a Hybrid mRMR and Binary Lion Optimization Algorithm", Scientific Reports, March 2026, https://doi.org/10.1038/s41598-026-47463-0 [impact factor: 3.9].

[217] Debendra Muduli, Santosh Kumar Sharma, Sujata Dash, Bernardo Lemos, Saurav Mallik*, "Explainable AI-Driven Diagnosis Model for Early Glaucoma Detection Using Grey-Wolf Optimized Extreme Learning Machine Approach", Plos Computational Biology, April 2026, 22(5): e1013139. https://doi.org/10.1371/journal.pcbi.1013139, [impact factor: 3.6].

[218] Pritisha Sarkar, Munsi Yusuf Alam, Mousumi Saha, Arup Roy, Saurav Mallik* and Ujjwal Maulik, "An Approach to Improve Distribution Eciency for the Deployment of Air Quality Monitoring Devices", International Journal of System Assurance Engineering and Management, April 2026 (accepted), [impact factor: 1.4].

[219] Kazi Nur Uddin, Partho Ghose, Ebrima Njie, Nafees Mahmood, Niloy Kumar, Md Nazmul Haque, Loveleen Gaur, Aimin Li, Saurav Mallik*, "Machine Learning and Deep Learning for Neurological Disease Analysis: A Systematic Review Across Five Major Disorders", Neuroscience, Elsevier, Volume 610, 28 August 2026, Pages 55-90, https://doi.org/10.1016/j.neuroscience.2026.05.036, [impact factor: 2.8].

[220] S. Jebarose Juliyana, J. Udaya Prakash, C. Sarala Rubi, K. Karthik, Mohd Asif Shah, Saurav Mallik*, "Experimental studies and Drilling process parameter optimization of LM5/ZrO2/Gr composite using Taguchi S/N Analysis", Discover Materials, Springer, June 2026, https://doi.org/10.1007/s43939-026-00766-5 [impact factor: 5.1].

[221] Roger Atanga, Saurav Mallik, Soumita Seth, David Bennett A, Francine Grodstein, Bernardo Lemos, "Single-cell analyses reveal dysregulation of ribosomal protein genes during hematopoietic stem and progenitor cell aging", Advanced Biology, Wiley, July 2026, https://doi.org/10.1002/adbi.70150 [impact factor: 3.6].

[222] Vipin Chandra, Kshitiz Murdia, Nitiz Murdia, Sandeep Kumar Panigrahi, Jyoti Ranjan Sahoo, Amol Lunkad, Anjali Ghalan, Rinoy Shreedharan, Dayanidhi Kumar, Akanksha Jangid, Shashank Sanagoudar, Ganesh Mhaske, Sueba Salmani, Manika Singh, Walmik Mistari, Neha Dhar, Isha Suwalka, Ankita Saha, Nihar Ranjan Bhoi, Shibakali Gupta, Chayan Paul, and Saurav Mallik*,

"Repeated IVF failures and stress: Evaluation of infertile couples", Journal of Clinical and Basic Psychosomatics, AccScience, August 2026 (accepted).

[223] Darshna Parmar, Dhruv Shah, Pramit Mazumdar, Saurav Mallik*, "Evaluating LLM-Based Conversational Recommenders with Semantic and Genre-Aware Metrics", Pattern Recognition Letters, Elsevier, Volume: Volume 208, pp. 271-277, doi: 10.1016/j.patrec.2026.08.012, August 2026 (accepted) [impact factor: 3.5].

[224] S.L. Jany Shabu, L. Lakshmanan, J. Refonaa, S. Dhamodaran, Aimin Li, Saurav Mallik*, "Precision Brain Tumour Diagnosis with Convolutional Recurrent Attention Networks", OBM Neurobiology, LIDSEN Publishing, 2026, Volume 10, Issue 3, doi:10.21926/obm.neurobiol.2603351.

[225] Hafiz Muhammad Fraz, Kashif Ali, Muhammad Faisal Nadeem, MingqiangWang, Saurav Mallik*, "QSPR Modeling of Anti-COVID Drugs Using Distance-Based Topological Indices", Next Research, Elsevier, Article: 102368, Volume 12, August 2026, doi: 10.1016/j.nexres.2026.102368.

[1] Saurav Mallik, and Ujjwal Maulik, “Module-Based Knowledge Discovery for Multiple-Cytosine-Variant Methylation Profile”, Soft Computing for Biological Systems, Springer, Singapore, 2018, DOI: 10.1007/978-981-10-7455-4.

[2] Saurav Mallik, Tapas Bhadra, Soumita Seth, Sanghamitra Bandyopadhyay and Jianjiao Chen (2018). "Multiobjective Optimization Approaches in Biological Learning System on Microarray Data", Multi-Objective Optimization: Evolutionary to Hybrid Framework, Springer, Singapore, 2018.

[3] Saurav Mallik, Ujjwal Maulik, Namrata Tomar, Tapas Bhadra, Anirban Mukhopadhyay, and Ayan Mukherji (2019). “Machine Learning and Rule Mining Techniques in the Study of Gene Inactivation and RNA Interference”, Modulating Gene Expression –Abriding the RNAi and CRISPR-Cas9 Technologies, IntechOpen, London, UK, 2019, DOI: 10.5772/intechopen.83470. 

[4] Anjan Bandyopadhyay, Fatos Xhafa, Saurav Mallik, Paul J Krause, Sajal Mukhopadhyay, Vikash Kumar Singh and Ujjwal Maulik (2019). “A Framework for Allocation of IoT devices to The Fog Service Providers in Strategic Setting", In: Barolli, L., Hellinckx, P., Natwichai, J. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-33509-0_31.

[5] Soham Choudhuri, Saurav Mallik, Bhaswar Ghosh, Tapas Si, Tapas Bhadra, Ujjwal Maulik, and Aimin Li (2021), "A Study of Computational Learning and IoT Applications to High-Throughput Array-based Sequencing and Medical Imaging data in Drug Discovery and Other Health Care Systems", Applied Smart Health Care Informatics: A Computational Intelligence Perspective, Wiley, May 9, 2022, USA (accepted),  https://books.google.com/books/about/Applied_Smart_Health_Care_Informatics.html?id=D_SYzgEACAAJ.

[6] Sinthia Roy Banerjee, Saurav Mallik, Tapas Si, Arijit Banerjee, Shan Jiang and Sudip Poddar (2021), "Analysis of Artificial Intelligence and Internet of Things in biomedical imaging and sequential data for COVID-19", Smart Health Technologies for COVID-19 Pandemic, IET Book Series on “e-Health Technologies", May 27, 2022, In book: Smart Health Technologies for the COVID-19 Pandemic: Internet of medical things perspectives (pp.227-259), IET Book Series on ``e-Health Technologies" (ISBN: 9781839535185), 2021, DOI:10.1049/PBHE042E_ch9, https://digital-library.theiet.org/content/books/10.1049/pbhe042e_ch9. 

[7] Supantha Das, Soumadip Ghosh, Saurav Mallik and Guimin Qin (2021), "Feature Selection, Machine Learning and Deep Learning Algorithms on Multi-Modal Omics Data", Artificial Intelligence Technologies for Computational Biology, CRC Press, Taylor & Francis Group, 2022, In book: Artificial Intelligence Technologies for Computational Biology, CRC Press, Taylor \& Francis Group (eBook ISBN 9781003246688), 2022, https://doi.org/10.1201/9781003246688.   

[8] Loveleen Gaur, Saurav Mallik, and Noor Zaman Jhanjhi (2022). “Introduction to DeepFake Technologies", L. Gaur (Ed.), "Deepfakes Creation, Detection and Impact"  (1st ed.), CRC Press, Taylor & Francis Group, (ISBN 9781003231493), Boca Raton, 2022,  https://doi.org/10.1201/9781003231493.

[9] Amit Kumar Mishra, Saurav Mallik, Viney Sharma, Shweta Paliwal, Kanad Ray, “Integrated Linear Regression and Random Forest Framework for E-Commerce Price Prediction of Pre-Owned Vehicle”, Lect. Notes in Networks, Syst., Vol. 675, Mufti Mahmud et al: Proceedings on Trends in Electronics and Health Informatics, Springer Nature 2022, 78-981-99-1915-4, 538365_1_En (8), https://link.springer.com/chapter/10.1007/978-981-99-1916-1_8.

[10] Atikul Islam, Saurav Mallik, Arup Roy, Maroi Agrebi and Pawan Kumar Singh (2022). ``A Filter-based Feature Selection Framework for Vehicle/Non-Vehicle Classification", Measurements and Instrumentation for Machine Vision, CRC Press, Taylor & Francis Group, 2024 (ISBN: 9781003343783). 

[11] Bhumika Rupchandani, Neel H. Dolakia, Kirtirajsinh Zala, Hiren Kumar Thakkar, Saurav Mallik, "Sentiment analysis and Social Media Analysis for IoMT-enabled data", Health 5.0 by Thakkar, Bhatt, Leung, Balasingham, CRC Press, Taylor & Francis Group, 2024 (Accepted).

[12] Saurav Mallik, Loveleen Gaur, Soumita Seth, Tapas Bhadra, Mingqiang Wang, "1 Introduction: Fundamentals of Next-Generation Sequencing, Pattern Recognition, and Biomedical Images", in Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications, River Publishers, 2024, pp.1-28, https://ieeexplore.ieee.org/abstract/document/10555476. 

[13] Saurav Mallik; Loveleen Gaur; Soumita Seth; Tapas Bhadra; Mingqiang Wang, "7 Conclusions and Scope for Further Research", in Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications, River Publishers, 2024, pp.165-170, https://ieeexplore.ieee.org/abstract/document/10555471 

[14] Saurav Mallik; Loveleen Gaur; Soumita Seth; Tapas Bhadra; Mingqiang Wang, "6 Integrating Deep Learning and Next-Generation Medical Image Data for Rare Disease Stage Detection", in Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications, River Publishers, 2024, pp.147-164, https://ieeexplore.ieee.org/abstract/document/10555456 

[15] Saurav Mallik; Loveleen Gaur; Soumita Seth; Tapas Bhadra; Mingqiang Wang, "4 Dimensionality Reduction, Clustering and Biomarkers Discovery on Single-cell RNA-seq Data", in Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications , River Publishers, 2024, pp.91-118, https://ieeexplore.ieee.org/abstract/document/10555491 

[16] Saurav Mallik; Loveleen Gaur; Soumita Seth; Tapas Bhadra; Mingqiang Wang, "5 Application of Detecting Discriminant Features from Stationary Nucleotide Base Pattern to the Classification of Essential Genes", in Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications , River Publishers, 2024, pp.119-146, https://ieeexplore.ieee.org/abstract/document/10555502 

[17] Saurav Mallik; Loveleen Gaur; Soumita Seth; Tapas Bhadra; Mingqiang Wang, "2 Integrating DNA Methylation, Linear Regression, and Machine Learning on RNA-seq Data", in Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications , River Publishers, 2024, pp.29-48, https://ieeexplore.ieee.org/abstract/document/10555487 

[1] Saurav Mallik, Sutapa Majee, Md. Headayetullah, Paper ID Code: VIP-ICMLC-C00703-001, Paper Title: “Proposed Novel Conceptual 3-Tier Security Model for Internet Banking System", 3rd International Conference on Machine Learning and Computing (ICMLC 2011) (IEEE), volume-4, page-250-254, Singapore, February 26-28, 2011.

[2] Saurav Mallik, Sutapa Majee, Arun Kanti Manna, Srijita Bhattacharjee, Anwesha De, Anjan Bandyopadhyay, Paper ID : ICSEA-11 035, Paper Title: “A Proposed Novel with Possible Prevention of Password Guessing”, International Conference On Soft-computing and Engineering Applications (ICSEA-2011), Kolkata, September, 2011.

[3] Anjan Bandyopadhyay, Tapas Si, Partha Protim Mondal , Saurav Mallik, Paper Title: “Proposed Conceptual Model for Semantically Enabled Web Services Based On QoS”, C3IT-2012, Procedia Technology 4(2012), 579–583 (Elsevier), Kolkata, 2012, https://doi.org/10.1016/j.protcy.2012.05.092.

[4] Saurav Mallik, Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay, paper title: “Integrated Analysis of Gene Expression and Genome-wide DNA Methylation for Tumor Prediction: An Association Rule Mining-based Approach”, 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Singapore, 2013, pp. 120-127, doi: 10.1109/CIBCB.2013.6595397. 

[5] Saurav Mallik, Ujjwal Maulik, Anirban Mukhopadhyay and Sanghamitra Bandyopadhyay, paper title: “Association Rule Extraction from Genome-wide DNA Methylation and Gene Expression Data: A Biclustering-based Technique”, National Seminar on ”Soft Computing : A Panorama of Possibilities” (SCAPP 2013), ISBN: 978-81-31703-83-6, Bhubaneswar, June 1-2, 2013.

[6] Saurav Mallik and Zhongming Zhao, "TrapRM: Transcriptomic and Proteomic Rule Mining using Weighted Shortest Distance Based Multiple Minimum Supports for Multi-Omics Dataset", Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on, Kansas City, MO, USA, 13-16 Nov. 2017, DOI: 10.1109/BIBM.2017.8217997 

[7] Saurav Mallik and Zhongming Zhao, “Identification of Gene Signatures from RNA-seq Data Using Pareto-optimal Cluster Algorithm", International Conference on Intelligent Biology and Medicine (ICIBM 2018), Los Angeles, California, USA, on June 10-12, 2018, https://doi.org/10.1186/s12918-018-0650-2.

[8] Saurav Mallik and Zhongming Zhao, “Multi-objective optimized fuzzy clustering for detecting cell clusters from single cell expression profiles", International Conference on Intelligent Biology and Medicine (ICIBM 2019), Columbus, OH, USA, June 9-11, 2019, DOI: 10.3390/genes10080611.

[9] Raju Kandimalla, Tadanobu Shimura, Saurav Mallik, Susan Tsai, Douglas B. Evans, Hideo Baba, Yasuhiro Kodera, Xi Chen and Ajay Goel, "A non-invasive miRNA signature for the identification of pancreatic ductal adenocarcinoma (PDAC) patients with poor molecular subtypes and worse prognosis", In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA), USA: AACR; Cancer Res (2019) 79 (13_Supplement): 762.

https://doi.org/10.1158/1538-7445.AM2019-762.

[10] Anjan Bandyopadhyay, Fatos Xhafa, Saurav Mallik, Paul J Krause, Sajal Mukhopadhyay, Vikash Kumar Singh and Ujjwal Maulik, “A Framework for Allocation of IoT devices to The Fog Service Providers in Strategic Setting", 3PGCIC-2019 (14-th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2019)), University of Antwerp, Antwerp, Belgium, will be on November 7-9, 2019, https://doi.org/10.1007/978-3-030-33509-0_31.

[11] Saurav Mallik, Soumita Seth, Tapas Bhadra, Namrata Tomar, and Zhongming Zhao, "A Multi-classifier Model to Identify Mitochondrial Respiratory Gene Signatures in Human Cancer", 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, 2019, pp. 1928-1935, doi: 10.1109/BIBM47256.2019.8982945. 

[12] Anjan Bandyopadhyay, Taniya Sarkar Roy, Vaskar Sarkar and Saurav Mallik, "Combinatorial Auction-Based Fog Service Allocation Mechanism for IoT Applications", 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, 2020, pp. 518-524, doi: 10.1109/Confluence47617.2020.9058055. 

[13] Saurav Mallik, Soumita Seth, Tapas Bhadra and Zhongming Zhao , "A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer using DNA Methylation and Gene Expression Data", International Conference on Intelligent Biology and Medicine (ICIBM 2020), Virtual, USA, August 9-10, 2020, https://doi.org/10.3390/genes11080931.

[14] Monalisa Mandal, Sanjeeb Kumar Sahoo, Priyadarshan Patra, Saurav Mallik and Zhongming Zhao , "In Silico Ranking of Phenolics for Therapeutic Effectiveness on Cancer Stem Cells", International Conference on Intelligent Biology and Medicine (ICIBM 2020), Virtual, USA, August 9-10, 2020, https://doi.org/10.1186/s12859-020-03849-z.

[15] Tapas Bhadra, Saurav Mallik, Neaj Hasan and Zhongming Zhao, "Comparison of four supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer", International Conference on Intelligent Biology and Medicine (ICIBM 2021), Philadelphia, PA, USA, https://doi.org/10.1186/s12859-022-04678-y.

[16] Saurav Mallik, Souvik Rakshit, Ujjwal Maulik, and Zhongming Zhao, "Negatively-Associated Maximal Frequent Geneset Mining on DNA Methylation Profile", 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Houston, TX, USA, 2021, pp. 2443-2450, doi: 10.1109/BIBM52615.2021.9669539. 

[17] Soumen Kumar Pati, Manan Kumar Gupta, Ayan Banerjee, Saurav Mallik and Zhongming Zhao, “PPIGCF: A Protein-Protein Interaction Based Gene Correlation Filter for Optimal Gene Selection”, International Conference on Intelligent Biology and Medicine (ICIBM 2022), will be on August 7-9, 2022, Philadelphia, PA, USA, https://doi.org/10.3390/genes14051063.

[18] Supantha Das, Arnab Hazra, Soumen Kumar Pati, Soumadip Ghosh, Saurav Mallik, Suharta Banerjee, Ayan Mukherji, Aimin Li, and Zhongming Zhao, ``Detection of Chronic Kidney Disease Using Neuro-Fuzzy Rule-based Classifier", 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022, pp. 2839-2845, doi: 10.1109/BIBM55620.2022.9994892.

[19] Amit Kumar Mishra, Saurav Mallik*, Viney Sharma, Shweta Paliwal, Kanad Ray*, "Integrated Linear Regression and Random Forest Framework for E-Commerce Price Prediction of Pre-Owned Vehicle", 2nd International Conference on Trends in Electronics and Health Informatics (TEHI), Puebla, Puebla, Mexico, pp 107–116, 7th-9th December 2022, https://link.springer.com/chapter/10.1007/978-981-99-1916-1_8.

[20] Milon Biswas, Sudipto Chaki, Saurav Mallik, Loveleen Gaur and Kanad Ray, "Light Convolutional Neural Network to Detect Eye Diseases from Retinal Images: Diabetic Retinopathy and Glaucoma", In: Kaiser, M.S., Waheed, S., Bandyopadhyay, A., Mahmud, M., Ray, K. (eds) Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering. Lecture Notes in Networks and Systems, vol 618. Springer, Singapore. https://doi.org/10.1007/978-981-19-9483-8_7  

[21] Pratham Majumder, Saurav Mallik, Punyasha Chatterjee, and Savitha S, Optimizing Task Distribution Systems: A Comparative Study of Micro-Task Job Replication, Accuracy, and Budget Constraints , IEEE, 2023 International Conference on Network, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2023, pp. 1-6, doi: 10.1109/NMITCON58196.2023.10276252 

[22] Ignatious K Pious, Angeline Lydia, Saravanan.S, sandeep Kumar M, Saurav Mallik, Aimin Li, Kanad Ray, ``An Intelligent Prognostication Framework for Lung Cancer Prediction via K-Nearest Neighbors (KNN) Algorithm",  TCCE 2023, Springer Nature Book Series: LNNS (accepted).