Le Gan

14 papers and 360 indexed citations i.

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 14 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 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 (6 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 (6 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 Junshi Xia, Yeting Fan, Peijun Du, Xiaobin Jin, Bryan C. Pijanowski, Xuhong Yang, Yinkang Zhou, Xiaomin Xiang, Jocelyn Chanussot and Ligang Lv 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

Co-authorship network of co-authors of Le Gan i

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.

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).

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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2025