Le Gan

483 total citations
17 papers, 405 citations indexed

About

Le Gan is a scholar working on Atmospheric Science, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Le Gan has authored 17 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 6 papers in Media Technology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Le Gan's work include Remote Sensing and Land Use (7 papers), Remote-Sensing Image Classification (6 papers) and Land Use and Ecosystem Services (5 papers). Le Gan is often cited by papers focused on Remote Sensing and Land Use (7 papers), Remote-Sensing Image Classification (6 papers) and Land Use and Ecosystem Services (5 papers). Le Gan collaborates with scholars based in China, Japan and United States. Le Gan's co-authors include Yeting Fan, Junshi Xia, Peijun Du, Bryan C. Pijanowski, Xiaobin Jin, Yinkang Zhou, Xiaomin Xiang, Xuhong Yang, Jocelyn Chanussot and Changqiao Hong and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Le Gan

15 papers receiving 395 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Le Gan China 11 258 118 95 58 52 17 405
Haiying Wang China 10 224 0.9× 88 0.7× 70 0.7× 64 1.1× 25 0.5× 27 379
Leonid Shumilo Ukraine 10 163 0.6× 58 0.5× 47 0.5× 117 2.0× 14 0.3× 44 354
Filip Sabo Italy 11 319 1.2× 89 0.8× 85 0.9× 125 2.2× 40 0.8× 30 560
Emiliano Ferreira Castejon Brazil 5 198 0.8× 53 0.4× 39 0.4× 48 0.8× 28 0.5× 8 292
Fengshuo Yang China 11 203 0.8× 69 0.6× 55 0.6× 116 2.0× 12 0.2× 17 338
Bohdan Yailymov Ukraine 11 190 0.7× 64 0.5× 50 0.5× 179 3.1× 12 0.2× 45 391
Bi-hui Wang China 3 263 1.0× 84 0.7× 27 0.3× 95 1.6× 23 0.4× 3 352
Zhenjie Liu China 10 210 0.8× 80 0.7× 29 0.3× 58 1.0× 9 0.2× 23 371
Dachuan Zhang China 8 250 1.0× 60 0.5× 24 0.3× 54 0.9× 48 0.9× 13 348

Countries citing papers authored by Le Gan

Since Specialization
Citations

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

Fields of papers citing papers by Le Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le Gan. 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 Le Gan. The network helps show where Le Gan may publish in the future.

Co-authorship network of co-authors of Le Gan

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

All Works

17 of 17 papers shown
1.
Sun, Hailong, Da-Wei Zhou, Hanbin Zhao, et al.. (2025). MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(19). 20699–20707.
2.
Yu, Rui, et al.. (2025). Reward Models in Deep Reinforcement Learning: A Survey. 10807–10816.
3.
4.
Fan, Yeting, et al.. (2022). Dynamics of spatial associations among multiple land use functions and their driving mechanisms: A case study of the Yangtze River Delta region, China. Environmental Impact Assessment Review. 97. 106858–106858. 47 indexed citations
5.
Li, Xinchun, et al.. (2022). Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). abs 1805 10190. 3758–3762. 2 indexed citations
6.
Fan, Yeting, Le Gan, Changqiao Hong, et al.. (2021). Spatial identification and determinants of trade-offs among multiple land use functions in Jiangsu Province, China. The Science of The Total Environment. 772. 145022–145022. 83 indexed citations
7.
8.
Xu, Zhigang, Jike Chen, Junshi Xia, et al.. (2018). Multisource Earth Observation Data for Land-Cover Classification Using Random Forest. IEEE Geoscience and Remote Sensing Letters. 15(5). 789–793. 39 indexed citations
9.
Zheng, Hongrui, et al.. (2018). Synthetic aperture Radar remote sensing technology in geological application: A review. Guotu ziyuan yaogan. 30(2). 12–20. 1 indexed citations
10.
Fan, Yeting, Xiaobin Jin, Le Gan, et al.. (2018). Spatial identification and dynamic analysis of land use functions reveals distinct zones of multiple functions in eastern China. The Science of The Total Environment. 642. 33–44. 96 indexed citations
11.
Fan, Yeting, Xiaobin Jin, Xiaomin Xiang, et al.. (2018). Evaluating and predicting the effectiveness of farmland consolidation on improving agricultural productivity in China. PLoS ONE. 13(6). e0198171–e0198171. 12 indexed citations
12.
Li, Yunfeng, Peijun Du, Zhaohui Xue, et al.. (2018). A method of rice information extraction based on Particle Swarm Optimization SVM algorithm. 396–400. 1 indexed citations
13.
Gan, Le, Junshi Xia, Peijun Du, & Jocelyn Chanussot. (2018). Multiple Feature Kernel Sparse Representation Classifier for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 56(9). 5343–5356. 28 indexed citations
14.
Du, Peijun, Le Gan, Junshi Xia, & Daming Wang. (2018). Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 56(8). 4664–4677. 16 indexed citations
15.
Gan, Le, Junshi Xia, Peijun Du, & Zhigang Xu. (2017). Dissimilarity-Weighted Sparse Representation for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 14(11). 1968–1972. 15 indexed citations
16.
Gan, Le, et al.. (2017). Kernel Fused Representation-Based Classifier for Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters. 14(5). 684–688. 22 indexed citations
17.
Gan, Le, Junshi Xia, Peijun Du, & Jocelyn Chanussot. (2017). Class-Oriented Weighted Kernel Sparse Representation With Region-Level Kernel for Hyperspectral Imagery Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(4). 1118–1130. 16 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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