Publications
"Impact Factors of topmost journal papers:
Journal of Extracellular Vesicles (Impact factor: 25.841), 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), Epigenetics (Impact Factor: 4.528), Nature Scientific Reports (Impact Factor: 4.379).
Number of Peer-reviewed Publications: 150 (Number of Journals=117, #conferences=22, #book chapters=11, #Edited book=7 and #Patent=2)
Total impact factor gained: >300
Google citation: 1547, h-index :20, i10-index :46.
Scopus index: 932.
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).
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 (provisionally 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].
Book Chapter:
[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, 2023 (accepted).
[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).
Conference Proceedings/workshop:
[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).