Bin Fan
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Media Technology top 0.2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
-
- Advanced Image and Video Retrieval Techniques 44
- Video Surveillance and Tracking Methods 17
- Advanced Neural Network Applications 17
- Image Retrieval and Classification Techniques 13
- Advanced Vision and Imaging 11
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- Remote-Sensing Image Classification 10
- Journals
- IEEE Transactions on Image Processing (7 papers)Neurocomputing (6 papers)IEEE Transactions on Circuits and Systems for Video Technology (6 papers)Pattern Recognition (5 papers)IEEE Geoscience and Remote Sensing Letters (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Bin Fan
103 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 2.7k
- Media Technology 1.1k
- Aerospace Engineering 1.0k
- Computational Mathematics 23
- Geology 138
Countries citing papers authored by Bin Fan
This map shows the geographic impact of Bin Fan'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 Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Fan more than expected).
Fields of papers citing papers by Bin Fan
This network shows the impact of papers produced by Bin Fan. 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 Fan. The network helps show where Bin Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Fan, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 64 | |
| 11 | 2023 | 51 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 25 | |
| 16 | 2022 | 5 | |
| 17 | AugFPN: Improving Multi-Scale Feature Learning for Object Detection Hit paper breakdown → | 2020 | 384 |
| 18 | 2019 | 22 | |
| 19 | 2019 | 65 | |
| 20 | 2016 | 27 |
About Bin Fan
Bin Fan is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Architecture and Geology, having authored 119 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (44 papers), Robotics and Sensor-Based Localization (29 papers), Video Surveillance and Tracking Methods (17 papers), Advanced Neural Network Applications (17 papers), Image Retrieval and Classification Techniques (13 papers), Advanced Vision and Imaging (11 papers), Remote-Sensing Image Classification (10 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Media Technology (1.1k citations), Aerospace Engineering (1.0k citations), Computational Mathematics (23 citations) and Geology (138 citations). Bin Fan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Fuchao Wu, Chunhong Pan, Shiming Xiang, Yurun Tian, Zhanyi Hu, Chaoxu Guo, Hongmin Liu, Qian Zhang, Ying Wang and Feiyun Zhu. Their work appears in journals such as IEEE Transactions on Image Processing, Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition and IEEE Geoscience and Remote Sensing Letters.
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.