Le Gan
Impact in
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services
- Conservation, Biodiversity, and Resource Management
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
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- Remote Sensing and Land Use 7
-
- Remote-Sensing Image Classification 6
- Co-authors
- Yeting Fan (5 shared papers)Junshi Xia (6 shared papers)Peijun Du (8 shared papers)Bryan C. Pijanowski (3 shared papers)Xiaobin Jin (3 shared papers)Yinkang Zhou (2 shared papers)Xuhong Yang (2 shared papers)Xiaomin Xiang (2 shared papers)
- Journals
- IEEE Geoscience and Remote Sensing Letters (3 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)The Science of The Total Environment (2 papers)Environmental Impact Assessment Review (1 paper)Applied Geography (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Le Gan
16 papers receiving 409 citations
Peers
Comparison fields: 5 of 55
- Global and Planetary Change 259
- Media Technology 96
- Atmospheric Science 119
- General Agricultural and Biological Sciences 43
- Management, Monitoring, Policy and Law 47
Countries citing papers authored by Le Gan
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
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-authors
The 25 scholars most cited alongside Le Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 97 | |
| 2 | 2021 | 84 | |
| 3 | 2022 | 48 | |
| 4 | 2018 | 40 | |
| 5 | 2018 | 29 | |
| 6 | 2023 | 27 | |
| 7 | 2017 | 21 | |
| 8 | 2018 | 16 | |
| 9 | 2017 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2018 | 12 | |
| 12 | 2021 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2018 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2025 | 0 |
About Le Gan
Le Gan is a scholar working on Atmospheric Science, Media Technology, Computer Vision and Pattern Recognition, Global and Planetary Change and Ecology, having authored 17 papers that have together received 412 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (7 papers), Remote-Sensing Image Classification (6 papers), Land Use and Ecosystem Services (5 papers), Urban Green Space and Health (3 papers), Remote Sensing in Agriculture (3 papers), Image Retrieval and Classification Techniques (3 papers), Face and Expression Recognition (2 papers) and Conservation, Biodiversity, and Resource Management (2 papers). The work is most often cited by research in Global and Planetary Change (259 citations), Media Technology (96 citations), Atmospheric Science (119 citations), General Agricultural and Biological Sciences (43 citations) and Management, Monitoring, Policy and Law (47 citations). Le Gan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yeting Fan, Junshi Xia, Peijun Du, Bryan C. Pijanowski, Xiaobin Jin, Yinkang Zhou, Xuhong Yang, Xiaomin Xiang, Changqiao Hong and Jocelyn Chanussot. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, The Science of The Total Environment, Environmental Impact Assessment Review and Applied Geography.
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.