Google Scholar Profile: https://scholar.google.co.in/citations?user=ZYXq9xoAAAAJ&hl=en
Research Gate profile: https://www.researchgate.net/profile/Suneet_Gupta3
OCRID: orcid.org/0000-0002-0757-1290
DBLP: https://dblp.org/pid/258/8727.html
https://dblp.org/pid/125/1717.html
As per Google Scholar:
Citation : 866
h-index : 11
i10-index” : 12
Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Klaudija Viskovic, Neha Suri , Azra Alizad, Ayman El-Baz, Luca Saba, Mostafa Fatemi, and Subbaram Naidu, “Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Infected Patients: A Biomedical Imaging Perspective”, IEEE Journal of Biomedical and Health Informatics. (Accepted). (IF: 5.82)
Jasjit Suri, Sushant Agarwal, Rajesh Pathak, Vedmanvitha, Ketireddy, Marta Columbu, Luca Saba, Suneet K Gupta et.al., “COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans using Hybrid Deep Learning Artificial Intelligence Models”, Diagnostics (MDPI). (accepted) (IF-3.706).
Ritu Tandon, Sweta Agarwal, Parag Goyal, Suneet Kumar Gupta, Dilbagh Singh, Manjeet Kaur “Review on role of Deep learning models for cancer detection: Focusing on Breast, Brain, Lung, Liver and Cervical Cancer”, Mathmatical Problems in Engineering. (IF:2.6) (accepted).
Saba, L., Sanagala, S. S., Gupta, S. K., Koppula, V. K., Johri, A. M., Sharma, A. M., ... & Suri, J. S. (2021). Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system. The International Journal of Cardiovascular Imaging, 37(5), 1511-1528. (IF-1.969)
Agarwal, M., Saba, L., Gupta, S. K., Johri, A. M., Khanna, N. N., Mavrogeni, S., ... & Suri, J. S. (2021). Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application. Medical & Biological Engineering & Computing, 59(3), 511-533. (IF-2.116)
Agarwal, M., Saba, L., Gupta, S. K., Carriero, A., Falaschi, Z., Paschè, A., ... & Suri, J. S. (2021). A novel block imaging technique using nine artificial intelligence models for COVID-19 disease classification, characterization and severity measurement in lung computed tomography scans on an Italian cohort. Journal of Medical Systems, 45(3), 1-30. (IF-3.058)
Saba, L., Agarwal, M., Patrick, A., Puvvula, A., Gupta, S. K., Carriero, A., ... & Suri, J. S. (2021). Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. International journal of computer assisted radiology and surgery, 16(3), 423-434. (IF-2.473)
Luca Saba, Siva Skandha Sanagala, Gupta, S. K, Vijay Kr. Koppula, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R Laird, Gyan Pareek, Martin Miner, Petros P Skikakis, Athanasios Protogerou, Durga P Mishra, Vikas Agarwal, Aditya M. Sharma, Vijay Viswanathan, Vijay Rathore, Monika Turk, Raghu Kolluri, Klaudija Viskovic, Elisa Cuadrado-Godia, Geoge D Kitas, Neeraj Sharma, Andrew Nicolaides, Jasjit S Suri“ Multimodality Carotid Plaque Tissue Characterization and Classification in the Artificial Intelligence Paradigm: A Narrative Review for Stroke Application”, Annals of Translational Medicine https://atm.amegroups.com/article/view/66829/pdf. (IF-3.689).
Saba, L., Sanagala, S. S., Gupta, S. K., Koppula, V. K., Laird, J. R., Viswanathan, V., ... & Suri, J. S. (2021). A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Transactions on Instrumentation and Measurement, 70, 1-12. (IF-3.568)
Suri, J. S., Agarwal, S., Gupta, S. K., Puvvula, A., Biswas, M., Saba, L., ... & Naidu, S. (2021). A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. Computers in Biology and Medicine, 104210. (IF-3.434)
Saba, L., Agarwal, M., Sanagala, S. S., Gupta, S. K., Sinha, G. R., Johri, A. M., ... & Suri, J. S. (2020). Brain MRI‐based Wilson disease tissue classification: an optimised deep transfer learning approach. Electronics Letters, 56(25), 1395-1398. (IF-1.96)
Agarwal, M., Gupta, S. K., & Biswas, K. K. (2020). Development of Efficient CNN model for Tomato crop disease identification. Sustainable Computing: Informatics and Systems, 28, 100407. (IF-2.798)
Agarwal, M., Gupta, S. K., & Biswas, K. K. (2020). A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant. Sustainable Computing: Informatics and Systems, 100473. (IF-2.798)
Skandha, S. S., Gupta, S. K., Saba, L., Koppula, V. K., Johri, A. M., Khanna, N. N., ... & Suri, J. S. (2020). 3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0. Computers in Biology and Medicine, 125, 103958. (IF-3.43)
Ansari, M. D., Rashid, E., Skandha, S. S., & Gupta, S. K. (2020). A comprehensive analysis of image forensics techniques: challenges and future direction. Recent Patents on Engineering, 14(3), 458-467.
Geetharamani, G., & Pandian, A. (2019). Identification of plant leaf diseases using a nine-layer deep convolutional neural network. Computers & Electrical Engineering, 76, 323-338. (IF-2.2)
Saba, L., Tiwari, A., Biswas, M., Gupta, S. K., Godia-Cuadrado, E., Chaturvedi, A., ... & Khanna, N. N. (2019). Wilson's disease: A new perspective review on its genetics, diagnosis and treatment. Frontiers in bioscience (Elite edition), 11, 166-185. (IF-2.47)
Gupta, Suneet Kumar, Pratyay Kuila, and Prasanta K. Jana. "Genetic algorithm approach for k-coverage and m-connected node placement in target based wireless sensor networks." Computers & Electrical Engineering(2015). (SCI: IF-2.4)
Gupta, Suneet K., and Prasanta K. Jana. "Energy efficient clustering and routing algorithms for wireless sensor networks: GA based approach." Wireless Personal Communications 83.3 (2015): 2403-2423. (SCI: IF-1.9)
Kuila, Pratyay, Suneet K. Gupta, and Prasanta K. Jana. "A novel evolutionary approach for load balanced clustering problem for wireless sensor networks." Swarm and Evolutionary Computation 12 (2013): 48-56. (SCI: IF-6.91)
Gupta, Suneet Kumar, Amit Sinha, and Mradul Jain. "Cross Lingual Information Retrieval with SMT and Query Mining." Advanced Computing 2.5 (2011): 33.
Tiwari, Alarsh, Swapnil Panwala, Akshita Mehta, Naman Bansal, Mohit Agarwal, Rahul Mishra, and Suneet Gupta. "CDID: Cherry Disease Identification Using Deep Convolutional Neural Network." In International Conference on Innovations in Information and Communication Technologies, pp. 123-131. Springer, Singapore, 2020.
Sharma, M. K., Singal, G., Gupta, S. K., Chandraneil, B., Agarwal, S., Garg, D., & Mukhopadhyay, D. (2021, April). INTERVENOR: Intelligent Border Surveillance using Sensors and Drones. In 2021 6th International Conference for Convergence in Technology (I2CT) (pp. 1-7). IEEE.
Sumithra, V., Shashidhara, R., Mukhopadhyay, D., & Gupta, S. K. (2021, April). Decentralized Accreditation of Educational Attainments using Blockchain. In 2021 6th International Conference for Convergence in Technology (I2CT) (pp. 1-4). IEEE.
Agarwal, M., Gupta, S. K., & Biswas, K. K. (2021). A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach. In PAKDD (3) (pp. 272-284). (core rank-A)
Singh, A., Chahal, N., Singh, S., & Gupta, S. K. (2021, January). Spam Detection using ANN and ABC Algorithm. In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 164-168). IEEE.
Agarwal, M., Gupta, S. K., & Biswas, K. K. (2021). Plant Leaf Disease Segmentation Using Compressed UNet Architecture. In Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT, Delhi, India, May 11, 2021 Proceedings 25 (pp. 9-14). Springer International Publishing. (Core rank-A)
Ganesh, S. V., Agarwal, M., Gupta, S. K., & Rajakarunakaran, S. Static and Dynamic Activities Prediction of Human Using Machine and Deep Learning Models. Innovations in Computer Science and Engineering: Proceedings of 8th ICICSE, 1.
Patel, A., Bhowmik, T., Gupta, S., & Mukhopadhyay, D. (2021, April). Mathematical Model for Controlling the Spreading of COVID-19 in the Context of Hospital Environment. In 2021 6th International Conference for Convergence in Technology (I2CT) (pp. 1-5). IEEE.
Srivastava, A. K., Sinha, A., Mishra, R., & Gupta, S. K. (2021). EEPMS: Energy Efficient Path Planning for Mobile Sink in Wireless Sensor Networks: A Genetic Algorithm-Based Approach. In Advances in Computational Intelligence and Communication Technology (pp. 101-108). Springer, Singapore.
Kumar, S., & Gupta, S. K. (2020, June). A Robust Copy Move Forgery Classification Using End to End Convolution Neural Network. In 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 253-258). IEEE.
Agarwal, M., Gupta, S. K., & Biswas, K. K. Grape Disease Identification Using Convolution Neural Network. In 2019 23rd International Computer Science and Engineering Conference (ICSEC) (pp. 224-229). IEEE.
Agarwal, M., Singh, A., Arjaria, S., Sinha, A., & Gupta, S. (2020). ToLeD: Tomato leaf disease detection using convolution neural network. Procedia Computer Science, 167, 293-301.
Agarwal, M., Sinha, A., Gupta, S. K., Mishra, D., & Mishra, R. (2020). Potato crop disease classification using convolutional neural network. In Smart Systems and IoT: Innovations in Computing (pp. 391-400). Springer, Singapore.
Jain, S. S., Singal, G., Garg, D., & Gupta, S. K. (2020). SecureDorm: Sensor-Based Girls Hostel Surveillance System. In Smart Systems and IoT: Innovations in Computing (pp. 327-337). Springer, Singapore.
Misra, D., Mohanty, S. N., Agarwal, M., & Gupta, S. K. (2020). Convoluted cosmos: Classifying galaxy images using deep learning. In Data Management, Analytics and Innovation (pp. 569-579). Springer, Singapore.
Sanagala, S. S., Gupta, S. K., Koppula, V. K., & Agarwal, M. (2019, December). A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung (s). In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) (pp. 1382-1387). IEEE. (core rank-B)
Agarwal, M., Bohat, V. K., Ansari, M. D., Sinha, A., Gupta, S. K., & Garg, D. (2019, December). A convolution neural network based approach to detect the disease in corn crop. In 2019 IEEE 9th international conference on advanced computing (IACC) (pp. 176-181). IEEE.
Goel, A. K., Chakraborty, R., Agarwal, M., Ansari, M. D., Gupta, S. K., & Garg, D. (2019, December). Profit or Loss: A Long Short Term Memory based model for the Prediction of share price of DLF group in India. In 2019 IEEE 9th International Conference on Advanced Computing (IACC) (pp. 120-124). IEEE.
Agarwal, M., Kaliyar, R. K., Singal, G., & Gupta, S. K. (2019, July). FCNN-LDA: A Faster Convolution Neural Network model for Leaf Disease identification on Apple's leaf dataset. In 2019 12th International Conference on Information & Communication Technology and System (ICTS) (pp. 246-251). IEEE.
Srivastava, A. K., & Gupta, S. K. (2019). EERP: Energy-Efficient Relay Node Placement for k-Connected Wireless Sensor Networks Using Genetic Algorithm. In Ambient Communications and Computer Systems (pp. 3-10). Springer, Singapore.
Singal, G., Goswami, A., Gupta, S., & Choudhary, T. (2018, December). Pitfree: Pot-holes detection on Indian Roads using Mobile Sensors. In 2018 IEEE 8th International Advance Computing Conference (IACC) (pp. 185-190). IEEE.
Gupta, S. K., Kuila, P., & Jana, P. K. (2017, February). Energy efficient routing algorithm for wireless sensor networks: A distributed approach. In Taylor & Francis (pp. 207-213).
Gupta, S. K., Kuila, P., & Jana, P. K. (2017). GA based energy efficient and balanced routing in k-connected wireless sensor networks. In Proceedings of the First International Conference on Intelligent Computing and Communication (pp. 679-686). Springer, Singapore.
Gupta, S. K., Kuila, P., & Jana, P. K. (2016, September). Energy efficient multipath routing for wireless sensor networks: A genetic algorithm approach. In 2016 international conference on advances in computing, communications and informatics (ICACCI) (pp. 1735-1740). IEEE.
Gupta, S. K., Kuila, P., & Jana, P. K. (2016). Genetic algorithm for k-connected relay node placement in wireless sensor networks. In Proceedings of the second international conference on computer and communication technologies (pp. 721-729). Springer, New Delhi.
Gupta, S. K., Kuila, P., & Jana, P. K. (2016). Genetic algorithm for k-connected relay node placement in wireless sensor networks. In Proceedings of the second international conference on computer and communication technologies (pp. 721-729). Springer, New Delhi.
Shukla, R. N., Chandel, A. S., Gupta, S. K., Jain, J., & Bhansali, A. (2015, August). GAE 3 BR: Genetic algorithm based energy efficient and energy balanced routing algorithm for Wireless Sensor Networks. In 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 942-947). IEEE.
Gupta, S. K., Kuila, P., & Jana, P. K. (2014, November). E 3 BFT: Energy efficient and energy balanced fault tolerance clustering in Wireless Sensor Networks. In 2014 International Conference on Contemporary Computing and Informatics (IC3I) (pp. 714-719). IEEE.
Gupta, S. K.,Kuila, P., & Jana, P. K. (2013). Delay constraint energy efficient routing using multi-objective genetic algorithm in wireless sensor networks. In International Conference on Eco-friendly Computing and Communication Systems, TMH (pp. 50-59).
Gupta, S. K., Kuila, P., & Jana, P. K. (2013, February). GAR: an energy efficient GA-based routing for wireless sensor networks. In International conference on distributed computing and internet technology (pp. 267-277). Springer, Berlin, Heidelberg.
Anurag Tiwari & Suneet Gupta, “Learning with Software-Defined Area”, In Innovations in Software-Defined Networking and Network Functions Virtualization, 2018, pp. 291-305. IGI Global.
Sinha, Amit, Suneet Kumar Gupta, Anurag Tiwari, and Amrita Chaturvedi. "Deep Learning: An Overview and Innovative Approach in Machine Learning." In Hidden Link Prediction in Stochastic Social Networks, pp. 108-134. IGI Global, 2019.
Sinha, Amit, Ashwin Perti, and Suneet Kumar Gupta. "An IOT Based Medical Tracking System (IMTS) and Prediction with Probability of Infection." In Cognitive Internet of Medical Things for Smart Healthcare, pp. 211-227. Springer, Cham.
Amit Sinha & Suneet Kumar Gupta, " Theory of Automata and Formal Languages", ACME Learning Publisher, 2011.
Amit Sinha & Suneet Kumar Gupta, " Graph Theory", ACME Learning Publisher, 2011.
1. Mohit Agarwal, Suneet Kumar Gupta, K. K. Biswas, “Development of a Compressed FCN Architecture for Semantic Segmentation”,Nature Machine Intelligence. (Communicated on 12 August 2021).
Sanjeev K. Kapoor, Suneet K. Gupta, Manjeet Kaur, “VI-NET: A Hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification”, Sustainable Computing: Informatics and Systems”. (communicated on 28th May 2021).
Mohit Agarwal, Suneet Kumar Gupta, K. K. Biswas, “Genetic Algorithm based Approach to Compress CNN models”, IEEE Transactions on Evolutionary Computing. (Communicated on 26th Apriil 2021).
Mukhtar Oyepmi, Deepak Singh, Vijaypal Singh, Suneet Kumar Gupta, “ A Multiview Learning Approach for Identification and Restoration of Photo from Sketch”, IEEE Transaction on Neural Network and Learning Systems. (communicated on 13th January 2021).
Mohit Agarwal, Suneet Kumar Gupta, Deepak Garg and Mainak Biswas, “Compression and Acceleration of Convolution Neural Network: Genetic Algorithm based approach”, Journal of Ambient and Humanized Computing. (submitted on 29th Nov. 2020).
Mohit Agarwal, Suneet Kumar Gupta, K. K. Biswas, “DECACNN: Differential Evolution based Approach to Compress and Accelerate the Convolution Neural Network Model”, IEEE Transaction on Neural Network and Learning System. (communicated on 21st April 2021).
Neha Gupta, Suneet Kumar Gupta, Vanita Jain, Rajesh Kumar Pathak, Jasjit S. Suri, “Human Activity Recognition in Artificial Intelligence Framework: A Narrative Review”, Artificial Intelligence Review. (communicated on 5th May 2021).