Jun Pan
- Media Technology top 1%
- Remote-Sensing Image Classification 22
- Advanced Image Fusion Techniques 21
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- Advanced Image and Video Retrieval Techniques 16
- Ocean Engineering top 2%
- Satellite Image Processing and Photogrammetry 21
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 19
- Aerospace Engineering top 5%
- Infrared Target Detection Methodologies 15
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- Remote Sensing and Land Use 10
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- Remote Sensing in Agriculture 8
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (12 papers)Remote Sensing (8 papers)IEEE Geoscience and Remote Sensing Letters (7 papers)
- Partner nations
- ChinaMoldovaUnited Kingdom
In The Last Decade
Jun Pan
82 papers receiving 871 citations
Peers
Comparison fields: 5 of 83
- Media Technology 290
- Computer Vision and Pattern Recognition 374
- Ocean Engineering 278
- Environmental Engineering 192
- Aerospace Engineering 297
Countries citing papers authored by Jun Pan
This map shows the geographic impact of Jun Pan'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 Jun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pan more than expected).
Fields of papers citing papers by Jun Pan
This network shows the impact of papers produced by Jun Pan. 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 Jun Pan. The network helps show where Jun Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Pan, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 | |
| 15 | 2023 | 13 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 2 | |
| 18 | [Research on Oil Sands Spectral Characteristics and Oil Content by Remote Sensing Estimation]. | 2015 | 2 |
| 19 | 2013 | 11 | |
| 20 | 2005 | 1 |
About Jun Pan
Jun Pan is a scholar working on Media Technology, Environmental Engineering, Ocean Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 97 papers that have together received 914 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (22 papers), Advanced Image Fusion Techniques (21 papers), Satellite Image Processing and Photogrammetry (21 papers), Remote Sensing and LiDAR Applications (19 papers), Advanced Image and Video Retrieval Techniques (16 papers), Infrared Target Detection Methodologies (15 papers), Remote Sensing and Land Use (10 papers) and Remote Sensing in Agriculture (8 papers). The work is most often cited by research in Media Technology (290 citations), Computer Vision and Pattern Recognition (374 citations), Ocean Engineering (278 citations), Environmental Engineering (192 citations) and Aerospace Engineering (297 citations). Jun Pan has collaborated with scholars based in China, Moldova and United Kingdom. Frequent co-authors include Mi Wang, Ying Zhu, Shuying Jin, Junli Li, Jonathan Li, Fen Hu, Qinghua Zhou, Quansheng Zhu, Deren Li and Xueli Chang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, IEEE Geoscience and Remote Sensing Letters, ISPRS Journal of Photogrammetry and Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.
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.