Biplab Banerjee

2.1k total citations
123 papers, 1.3k citations indexed

About

Biplab Banerjee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Biplab Banerjee has authored 123 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 60 papers in Artificial Intelligence and 52 papers in Media Technology. Recurrent topics in Biplab Banerjee's work include Remote-Sensing Image Classification (48 papers), Domain Adaptation and Few-Shot Learning (45 papers) and Advanced Image and Video Retrieval Techniques (30 papers). Biplab Banerjee is often cited by papers focused on Remote-Sensing Image Classification (48 papers), Domain Adaptation and Few-Shot Learning (45 papers) and Advanced Image and Video Retrieval Techniques (30 papers). Biplab Banerjee collaborates with scholars based in India, Germany and Italy. Biplab Banerjee's co-authors include Subhasis Chaudhuri, Avik Bhattacharya, Shivam Pande, Ushasi Chaudhuri, Krishna Mohan Buddhiraju, Mihai Datcu, Ankit Jha, Debabrata Pal, Francesca Bovolo and Lorenzo Bruzzone and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Biplab Banerjee

111 papers receiving 1.3k citations

Peers

Biplab Banerjee

CVPR

ECOLO

Grant J. Scott United States

Aizhu Zhang China

Ceyuan Yang Hong Kong

Konstantinos Makantasis Greece

Xia Xu China

Patrick Helber Germany

Zhitong Xiong Germany

Lihao Ni China

Hisham Cholakkal United Arab Emirates

Yanni Dong China

Grant J. Scott United States

Biplab Banerjee

545 ×0.8

CVPR

566 ×0.9

248 ×0.6

186 ×0.8

213 ×1.7

ECOLO

Citations per year, relative to Biplab Banerjee Biplab Banerjee (= 1×) peers Grant J. Scott

Countries citing papers authored by Biplab Banerjee

Since Specialization

Citations

This map shows the geographic impact of Biplab Banerjee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Biplab Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biplab Banerjee more than expected).

Fields of papers citing papers by Biplab Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Biplab Banerjee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Biplab Banerjee. The network helps show where Biplab Banerjee may publish in the future.

Co-authorship network of co-authors of Biplab Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Biplab Banerjee. A scholar is included among the top collaborators of Biplab Banerjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Biplab Banerjee. Biplab Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Banerjee, Biplab, et al.. (2025). Cotton and Soybean Plant Leaf Dataset Generation for Multiclass Disease Classification. Journal of Phytopathology. 173(2). 1 indexed citations

Mukherjee, Samrat Kumar, et al.. (2025). Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation. 11810–11821.

Jha, Ankit, et al.. (2025). OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP. 10110–10120.

Banerjee, Biplab, et al.. (2024). Digital image noise removal towards soybean and cotton plant disease using image processing filters. Expert Systems with Applications. 246. 123031–123031. 9 indexed citations

Jha, Ankit, et al.. (2024). RS3Lip: Consistency for remote sensing image classification on part embeddings using self-supervised learning and CLIP. Computer Vision and Image Understanding. 251. 104254–104254. 1 indexed citations

Banerjee, Biplab, et al.. (2024). CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery. 2616–2626. 2 indexed citations

Banerjee, Biplab, et al.. (2024). Boosting cross-modal retrieval in remote sensing via a novel unified attention network. Neural Networks. 180. 106718–106718. 2 indexed citations

Mandal, Dipankar, et al.. (2024). An Evidence Modified Gaussian Process Classifier (EM-GPC) for Crop Classification Using Dual-Polarimetric C- and L- Band SAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18683–18702. 1 indexed citations

Banerjee, Biplab, et al.. (2024). Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data.. International Journal of Interactive Multimedia and Artificial Intelligence. 9(3). 71–81.

10.

Pal, Debabrata, et al.. (2023). Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 13 indexed citations

11.

Pal, Debabrata, et al.. (2023). MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning. Pattern Recognition Letters. 173. 101–107. 7 indexed citations

12.

Mandal, Dipankar, et al.. (2023). Phenology-based crop classification from multi-frequency dual-pol SAR data utilizing Gaussian Processes. 1–6. 1 indexed citations

13.

Mohan, B. Krishna, et al.. (2023). Transfomer Based Hyperspectral Dimensionality Reduction with Gabor Kernel CNN for Feature Extraction. abs 1706 3762. 7388–7391.

14.

Banerjee, Biplab, et al.. (2022). Multi-head attention with CNN and wavelet for classification of hyperspectral image. Neural Computing and Applications. 35(10). 7595–7609. 16 indexed citations

15.

Banerjee, Biplab, et al.. (2022). Intelligent multiperiod wind power forecast model using statistical and machine learning model. Bulletin of Electrical Engineering and Informatics. 11(3). 1186–1193. 3 indexed citations

16.

Chaudhuri, Ushasi, et al.. (2022). BDA-SketRet: Bi-level domain adaptation for zero-shot SBIR. Neurocomputing. 514. 245–255. 14 indexed citations

17.

Balasubramanian, S., et al.. (2022). Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4028–4037. 3 indexed citations

18.

Banerjee, Biplab, et al.. (2020). Machine learning on high performance computing for urban greenspace change detection: satellite image data fusion approach. International Journal of Image and Data Fusion. 11(3). 218–232. 10 indexed citations

19.

Pande, Shivam, et al.. (2019). An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification. DSpace (IIT Bombay). 4571–4580. 22 indexed citations

20.

Banerjee, Biplab, et al.. (2018). Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning.. DSpace (IIT Bombay). 218. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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