| Forecasting models for coronavirus disease (COVID-19): a survey of the state-of-the-art GR Shinde, AB Kalamkar, PN Mahalle, N Dey, J Chaki, AE Hassanien SN computer science 1 (4), 197, 2020 | 323 | 2020 |
| Plant leaf recognition using texture and shape features with neural classifiers J Chaki, R Parekh, S Bhattacharya Pattern Recognition Letters 58, 61-68, 2015 | 292 | 2015 |
| Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review J Chaki, ST Ganesh, SK Cidham, SA Theertan Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 268 | 2022 |
| Plant leaf recognition using shape based features and neural network classifiers J Chaki, R Parekh International Journal of Advanced Computer Science and Applications 2 (10), 2011 | 223 | 2011 |
| A beginner’s guide to image preprocessing techniques J Chaki, N Dey CRC Press, 2018 | 100 | 2018 |
| Fundamentals, present and future perspectives of speech enhancement N Das, S Chakraborty, J Chaki, N Padhy, N Dey International Journal of Speech Technology 24 (4), 883-901, 2021 | 87 | 2021 |
| An introduction to COVID-19 SJ Fong, N Dey, J Chaki, SJ Fong, N Dey, J Chaki Artificial intelligence for coronavirus outbreak, 1-22, 2021 | 85 | 2021 |
| Adam deep learning with SOM for human sentiment classification MNY Ali, MG Sarowar, ML Rahman, J Chaki, N Dey, JMRS Tavares International Journal of Ambient Computing and Intelligence (IJACI) 10 (3 …, 2019 | 79 | 2019 |
| Pattern mining approaches used in sensor-based biometric recognition: a review J Chaki, N Dey, F Shi, RS Sherratt IEEE Sensors Journal 19 (10), 3569-3580, 2019 | 75 | 2019 |
| Texture feature extraction techniques for image recognition J Chaki, N Dey Springer Singapore, 2020 | 63 | 2020 |
| Artificial intelligence for coronavirus outbreak SJ Fong, N Dey, J Chaki Springer., 2021 | 62 | 2021 |
| Plant leaf classification using multiple descriptors: A hierarchical approach J Chaki, R Parekh, S Bhattacharya Journal of King Saud University-Computer and Information Sciences 32 (10 …, 2020 | 62 | 2020 |
| Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review J Chaki, M Woźniak Biomedical Signal Processing and Control 80, 104223, 2023 | 56 | 2023 |
| Fragmented plant leaf recognition: Bag-of-features, fuzzy-color and edge-texture histogram descriptors with multi-layer perceptron J Chaki, N Dey, L Moraru, F Shi Optik 181, 639-650, 2019 | 53 | 2019 |
| Designing an automated system for plant leaf recognition J Chaki, R Parekh International Journal of Advances in Engineering & Technology 2 (1), 149, 2012 | 50 | 2012 |
| A deep learning based four-fold approach to classify brain MRI: BTSCNet J Chaki, M Woźniak Biomedical Signal Processing and Control 85, 104902, 2023 | 46 | 2023 |
| Machine translation using deep learning for universal networking language based on their structure MNY Ali, ML Rahman, J Chaki, N Dey, KC Santosh International Journal of Machine Learning and Cybernetics 12 (8), 2365-2376, 2021 | 46 | 2021 |
| Firefly algorithm and its variants in digital image processing: A comprehensive review N Dey, J Chaki, L Moraru, S Fong, XS Yang Applications of firefly algorithm and its variants: case studies and new …, 2020 | 44 | 2020 |
| AI-enabled technologies that fight the coronavirus outbreak SJ Fong, N Dey, J Chaki, SJ Fong, N Dey, J Chaki Artificial intelligence for coronavirus outbreak, 23-45, 2021 | 41 | 2021 |
| Pattern analysis based acoustic signal processing: a survey of the state-of-art J Chaki International Journal of Speech Technology 24 (4), 913-955, 2021 | 30 | 2021 |
Nilanjan DeyAsso. Professor, Techno International New TownVerified email at ieee.org
