China Centre for Resources Satellite Data and Application
Impact in
- Media Technology top 10%
- Remote-Sensing Image Classification
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- Atmospheric aerosols and clouds
Papers in
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- Remote-Sensing Image Classification 56
- Advanced Image Fusion Techniques 12
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- Calibration and Measurement Techniques 65
- Synthetic Aperture Radar (SAR) Applications and Techniques 49
- Advanced SAR Imaging Techniques 20
- Journals
- Remote Sensing (60 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (23 papers)IEEE Transactions on Geoscience and Remote Sensing (16 papers)Sensors (10 papers)Science China Technological Sciences (8 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
China Centre for Resources Satellite Data and Application
303 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 104
- Media Technology 515
- Global and Planetary Change 535
- Aerospace Engineering 651
- Ocean Engineering 331
- Transportation 151
Countries citing scholars working at China Centre for Resources Satellite Data and Application
This map shows the geographic impact of research produced by authors working at China Centre for Resources Satellite Data and Application. 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 papers produced at China Centre for Resources Satellite Data and Application with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites China Centre for Resources Satellite Data and Application more than expected).
Fields of papers published by authors at China Centre for Resources Satellite Data and Application
This network shows the impact of papers affiliated with China Centre for Resources Satellite Data and Application at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with China Centre for Resources Satellite Data and Application at the time of their publication.
About China Centre for Resources Satellite Data and Application
In recent decades, authors affiliated with China Centre for Resources Satellite Data and Application have published 343 papers, which have received a total of 2.9k indexed citations . Scholars at this organization have produced 67 papers in Media Technology, 143 papers in Aerospace Engineering, 71 papers in Ocean Engineering, 21 papers in Environmental Engineering and 34 papers in Global and Planetary Change on the topics of Calibration and Measurement Techniques (65 papers), Satellite Image Processing and Photogrammetry (62 papers), Remote-Sensing Image Classification (56 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (49 papers), Atmospheric aerosols and clouds (22 papers), Advanced SAR Imaging Techniques (20 papers), Remote Sensing in Agriculture (20 papers) and Advanced Image Fusion Techniques (12 papers). Their work is cited by papers focused on Media Technology (515 citations), Global and Planetary Change (535 citations), Aerospace Engineering (651 citations), Ocean Engineering (331 citations) and Transportation (151 citations). Authors at China Centre for Resources Satellite Data and Application collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Sensors and Science China Technological Sciences. Some of China Centre for Resources Satellite Data and Application's most productive authors include Zhengwei Sui, Jun‐Hai Yong, Zhizhong Wang, Lun Wu, Yu Liu, Chao Wang, Hong Zhang, Mi WANG, Jianya Gong and Guanghui Wang.
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.