Details can be found at:  Google Scholar 

Journals (SCI/SCIE):

• Ghufran Alam Siddiqui, Asish Bera, Ankur Lhila, Amitesh Singh Rajput, Nitika Nitika, Praveen K Bharti, Ashis Das, and Tanmaya Mahapatra*,  "A hybrid machine learning approach for automated malaria diagnosis from thin blood smear images," Parasites & Vectors,  BMC Springer Nature,  19:283, 2026. [IF 3.7]
• Asish Bera, Debotosh Bhattacharjee, and Ondrej Krejcar, "Fluorescence microscopy and histopathology image based cancer classification using graph convolutional network with channel splitting," Biomedical Signal Processing and Control 103, 107400,  2025. [IF: 5.7]
• Asish Bera, Ondrej Krejcar, and Debotosh Bhattacharjee, “RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognition,” IEEE Transactions on AgriFood Electronics,  vol. 3, no. 1, pp. 121–133, 2025.
• Asish Bera, Debotosh Bhattacharjee, and Ondrej Krejcar, "PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network," Scientific Reports 14,  15537, Nature Publishing Group UK London, 2024.  [IF:  4.9]
• Asish Bera, Mita Nasipuri, Ondrej Krejcar, and Debotosh Bhattacharjee, “Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis,” IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-13, no. 5020613, 2023. [IF: 7.0]
• Asish Bera, Zachary Wharton, Yonghuai Liu, Nik Bessis, and Ardhendu Behera*, “SR-GNN: Spatial Relation-aware Graph Neural Networks for Fine-Grained Image Categorization,” IEEE Transactions on Image Processing, vol. 31, pp. 6017-6031, 2022. [IF: 15.3]
• Asish Bera, Zachary Wharton, Yonghuai Liu, Nik Bessis, and Ardhendu Behera*, “Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition,” IEEE Transactions on Image Processing, vol. 30, pp. 3691-3704, 2021.  
• Asish Bera, Debotosh Bhattacharjee, and Hubert P. H. Shum, “Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection,” Expert Systems with Applications, Elsevier, vol.171, 114583, 2021.  [IF: 9.4]
• Asish Bera and Debotosh Bhattacharjee, “Human Identification using Selected Features from Finger Geometric Profiles,” IEEE Transactions on Systems, Man, and Cybernetics: Systems. vol. 50, no. 3, pp. 747-761, 2020. [IF: 8.4]

Conferences 

• Asish Bera, Subhajit Roy, and Sudiptendu Banerjee, "CLAP: A Convolutional Lightweight Autoencoder for Plant Disease Classification", IEEE  22nd India Council International Conference (INDICON), 2025.
• Aditya Agarwal,  Parth Jha,  Ojas Jain, and Asish Bera, "POA-Net: Dance POses and Activity Classification using Convolutional Neural Networks," IEEE Region 10 Symposium (TENSYMP), New Delhi, India,  pp. 1-6, 2024, doi: 10.1109/ TENSYMP 61132.2024.10752281.   
• Ardhendu Behera*, Zachary Wharton, Pradeep Hewage, and Asish Bera, “Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification,” 35th AAAI Conference on Artificial Intelligence, pp. 929–937, 2021. 
• K. B. Devika, Asish Bera, Venkata Ramani Shreya Yellapantula, Ardhendu Behera*, Yonghuai Liu, and Shankar C. Subramanian, “Driver Distraction Recognition-driven Collision Avoidance Algorithm for Active Vehicle Safety,” 24th IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 237-243, 2021.   
• Zachary Wharton, Ardhendu Behera*, and Asish Bera, “An attention-driven hierarchical multiscale representation for visual recognition,” 32nd British Machine Vision Conference (BMVC),  2021.