Le Gan

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 347 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, Peijun Du, Yeting Fan, Bryan C. Pijanowski and Xiaobin Jin 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

Fields of papers citing papers by Le Gan

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Le Gan. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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