Swalpa Kumar Roy

5.6k total citations · 7 hit papers
71 papers, 4.0k citations indexed

About

Swalpa Kumar Roy is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Swalpa Kumar Roy has authored 71 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Media Technology, 31 papers in Computer Vision and Pattern Recognition and 24 papers in Atmospheric Science. Recurrent topics in Swalpa Kumar Roy's work include Remote-Sensing Image Classification (38 papers), Remote Sensing and Land Use (23 papers) and Advanced Image Fusion Techniques (15 papers). Swalpa Kumar Roy is often cited by papers focused on Remote-Sensing Image Classification (38 papers), Remote Sensing and Land Use (23 papers) and Advanced Image Fusion Techniques (15 papers). Swalpa Kumar Roy collaborates with scholars based in India, China and Canada. Swalpa Kumar Roy's co-authors include B.B. Chaudhuri, Shiv Ram Dubey, Danfeng Hong, Antonio Plaza, Jocelyn Chanussot, Tiecheng Song, Lorenzo Bruzzone, Suvojit Manna, Juan M. Haut and Behnood Rasti and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Swalpa Kumar Roy

64 papers receiving 3.9k citations

Hit Papers

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyp... 2019 2026 2021 2023 2019 2020 2023 2021 2023 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification
    2019 1.3k citations Swalpa Kumar Roy, Shiv Ram Dubey et al. IEEE Geoscience and Remote Sensing Letters profile →
  2. Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classification
    2020 383 citations Swalpa Kumar Roy, Suvojit Manna et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  3. Multimodal Fusion Transformer for Remote Sensing Image Classification
    2023 311 citations Swalpa Kumar Roy, Danfeng Hong et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  4. Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects
    2021 284 citations Swalpa Kumar Roy, Danfeng Hong et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
  5. Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification
    2023 217 citations Swalpa Kumar Roy, Chiranjibi Shah et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  6. Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection
    2022 126 citations Minghua Wang, Qiang Wang et al. IEEE Transactions on Cybernetics profile →
  7. Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification
    2024 53 citations Swalpa Kumar Roy, Ali Jamali et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Swalpa Kumar Roy
Xing Zhao China
Hongjun Su China
Behnood Rasti Germany
Mercedes E. Paoletti Spain
Juan M. Haut Spain
Sen Jia China
Zebin Wu China
Zhouhan Lin China
J. Chanussot France
Liguo Wang China
Xing Zhao China
Swalpa Kumar Roy
Citations per year, relative to Swalpa Kumar Roy Swalpa Kumar Roy (= 1×) peers Xing Zhao

Countries citing papers authored by Swalpa Kumar Roy

Since Specialization
Citations

This map shows the geographic impact of Swalpa Kumar Roy'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 Swalpa Kumar Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swalpa Kumar Roy more than expected).

Fields of papers citing papers by Swalpa Kumar Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swalpa Kumar Roy. 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 Swalpa Kumar Roy. The network helps show where Swalpa Kumar Roy may publish in the future.

Co-authorship network of co-authors of Swalpa Kumar Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Swalpa Kumar Roy. A scholar is included among the top collaborators of Swalpa Kumar Roy 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 Swalpa Kumar Roy. Swalpa Kumar Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yan, Jianguo, Zhuohong Li, Haonan Guo, et al.. (2025). C2FNet: Cross-Probabilistic Weak Supervision Learning for High-Resolution Land Cover Enhancement. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–30. 1 indexed citations
2.
Roy, Swalpa Kumar, et al.. (2025). MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
3.
Roy, Swalpa Kumar, et al.. (2025). Thresholding metrics for evaluating explainable AI models in disaster response: Enhancing interpretability and model trustworthiness. Digital Signal Processing. 160. 105068–105068. 1 indexed citations
4.
Jamali, Ali, Swalpa Kumar Roy, & Biswajeet Pradhan. (2024). e-TransUNet: TransUNet provides a strong spatial transformation for precise deforestation mapping. Remote Sensing Applications Society and Environment. 35. 101221–101221. 1 indexed citations
5.
Roy, Swalpa Kumar, et al.. (2024). Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 53 indexed citations breakdown →
6.
Jamali, Ali, Swalpa Kumar Roy, Danfeng Hong, Bing Lu, & Pedram Ghamisi. (2024). How to Learn More? Exploring Kolmogorov–Arnold Networks for Hyperspectral Image Classification. Remote Sensing. 16(21). 4015–4015. 32 indexed citations
7.
Roy, Swalpa Kumar, et al.. (2024). Exploring the Horizons of Meta-Learning in Neural Networks: A Survey of the State-of-the-Art. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 27–42.
8.
Jamali, Ali, Swalpa Kumar Roy, Danfeng Hong, Peter M. Atkinson, & Pedram Ghamisi. (2024). Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 14 indexed citations
9.
Roy, Swalpa Kumar, et al.. (2023). Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 217 indexed citations breakdown →
10.
Paoletti, Mercedes E., Xuanwen Tao, Lirong Han, et al.. (2023). Parameter-Free Attention Network for Spectral–Spatial Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 14 indexed citations
11.
Jamali, Ali, Swalpa Kumar Roy, Avik Bhattacharya, & Pedram Ghamisi. (2023). Local Window Attention Transformer for Polarimetric SAR Image Classification. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 55 indexed citations
12.
Han, Zhu, Danfeng Hong, Lianru Gao, et al.. (2022). Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 14 indexed citations
13.
Wang, Minghua, Qiang Wang, Danfeng Hong, Swalpa Kumar Roy, & Jocelyn Chanussot. (2022). Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection. IEEE Transactions on Cybernetics. 53(1). 679–691. 126 indexed citations breakdown →
14.
Roy, Swalpa Kumar, et al.. (2021). SiCoDeF² Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification. IEEE Access. 9. 118419–118434. 8 indexed citations
15.
Roy, Swalpa Kumar, Juan M. Haut, Mercedes E. Paoletti, Shiv Ram Dubey, & Antonio Plaza. (2021). Generative Adversarial Minority Oversampling for Spectral–Spatial Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 81 indexed citations
16.
Paoletti, Mercedes E., et al.. (2021). Separable Attention Network in Single- and Mixed-Precision Floating Point for Land-Cover Classification of Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 10 indexed citations
17.
Roy, Swalpa Kumar, Ranjan Mondal, Mercedes E. Paoletti, Juan M. Haut, & Antonio Plaza. (2021). Morphological Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 8689–8702. 75 indexed citations
18.
Paoletti, Mercedes E., Juan M. Haut, Swalpa Kumar Roy, & E.M.T. Hendrix. (2020). Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Access. 8. 179575–179591. 31 indexed citations
19.
Roy, Swalpa Kumar, Suvojit Manna, Tiecheng Song, & Lorenzo Bruzzone. (2020). Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 59(9). 7831–7843. 383 indexed citations breakdown →
20.
Roy, Swalpa Kumar, et al.. (2019). HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 17(2). 277–281. 1296 indexed citations breakdown →

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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