Bin Pan
Impact in
- Media Technology top 0.2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric Science top 5%
- Remote Sensing and Land Use
Papers in
-
- Remote-Sensing Image Classification 46
- Advanced Image Fusion Techniques 23
-
- Advanced Image and Video Retrieval Techniques 16
- Advanced Neural Network Applications 6
- Co-authors
- Xia Xu (34 shared papers)Zhenwei Shi (42 shared papers)Zhenwei Shi (7 shared papers)Jun Zhang (12 shared papers)Ning Zhang (5 shared papers)Jiao Liu (5 shared papers)Tao Li (9 shared papers)Lukui Shi (6 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (23 papers)Remote Sensing (7 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (6 papers)IEEE Geoscience and Remote Sensing Letters (6 papers)Dyes and Pigments (3 papers)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Bin Pan
83 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 112
- Media Technology 1.3k
- Atmospheric Science 682
- Computer Vision and Pattern Recognition 684
- Artificial Intelligence 334
- Analytical Chemistry 75
Countries citing papers authored by Bin Pan
This map shows the geographic impact of Bin 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 Bin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Pan more than expected).
Fields of papers citing papers by Bin Pan
This network shows the impact of papers produced by Bin 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 Bin Pan. The network helps show where Bin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 215 | |
| 2 | 2017 | 160 | |
| 3 | 2015 | 114 | |
| 4 | 2017 | 93 | |
| 5 | 2018 | 84 | |
| 6 | 2020 | 83 | |
| 7 | 2020 | 73 | |
| 8 | 2018 | 59 | |
| 9 | 2018 | 55 | |
| 10 | 2016 | 53 | |
| 11 | 2018 | 48 | |
| 12 | 2021 | 45 | |
| 13 | 2022 | 43 | |
| 14 | 2020 | 41 | |
| 15 | 2021 | 38 | |
| 16 | 2016 | 37 | |
| 17 | 2020 | 37 | |
| 18 | 2017 | 32 | |
| 19 | 2020 | 32 | |
| 20 | 2021 | 32 |
About Bin Pan
Bin Pan is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Atmospheric Science and Computational Mechanics, having authored 87 papers that have together received 2.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (46 papers), Advanced Image Fusion Techniques (23 papers), Remote Sensing and Land Use (16 papers), Advanced Image and Video Retrieval Techniques (16 papers), Domain Adaptation and Few-Shot Learning (11 papers), Sparse and Compressive Sensing Techniques (6 papers), Advanced Neural Network Applications (6 papers) and TiO2 Photocatalysis and Solar Cells (6 papers). The work is most often cited by research in Media Technology (1.3k citations), Atmospheric Science (682 citations), Computer Vision and Pattern Recognition (684 citations), Artificial Intelligence (334 citations) and Analytical Chemistry (75 citations). Bin Pan has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Xia Xu, Zhenwei Shi, Zhenwei Shi, Jun Zhang, Ning Zhang, Jiao Liu, Tao Li, Lukui Shi, Jian‐Yu Zheng and Yi‐Zhou Zhu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters and Dyes and Pigments.
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.