Bin Fang
Impact in
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Handwritten Text Recognition Techniques
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Image and Video Quality Assessment
- Media Technology top 0.5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
Papers in
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- Face and Expression Recognition 57
- Image Retrieval and Classification Techniques 38
- Image and Object Detection Techniques 28
- Medical Image Segmentation Techniques 28
- Advanced Image and Video Retrieval Techniques 23
- Handwritten Text Recognition Techniques 22
- Face recognition and analysis 21
-
- Advanced Image Fusion Techniques 22
- Co-authors
- Yuan Yan TangZhaowei ShangYuanyan TangTaiping ZhangMingliang ZhouJing WenWeibin YangLin Chen
In The Last Decade
Bin Fang
275 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 2.1k
- Media Technology 723
- Software 187
- Modeling and Simulation 145
- Signal Processing 319
Countries citing papers authored by Bin Fang
This map shows the geographic impact of Bin Fang'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 Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Fang more than expected).
Fields of papers citing papers by Bin Fang
This network shows the impact of papers produced by Bin Fang. 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 Fang. The network helps show where Bin Fang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin Fang, 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 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 40 | |
| 5 | 2024 | 13 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 73 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 30 | |
| 14 | 2022 | 29 | |
| 15 | 2022 | 56 | |
| 16 | 2022 | 14 | |
| 17 | 2019 | 43 | |
| 18 | 2018 | 8 | |
| 19 | 2017 | 1 | |
| 20 | Stability of an Age-structured SEIR Epidemic Model with Infectivity in Latent Period | 2009 | 10 |
About Bin Fang
Bin Fang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 304 papers that have together received 3.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (57 papers), Image Retrieval and Classification Techniques (38 papers), Image and Object Detection Techniques (28 papers), Medical Image Segmentation Techniques (28 papers), Advanced Image and Video Retrieval Techniques (23 papers), Handwritten Text Recognition Techniques (22 papers), Advanced Image Fusion Techniques (22 papers) and Face recognition and analysis (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Media Technology (723 citations), Software (187 citations), Modeling and Simulation (145 citations) and Signal Processing (319 citations). Bin Fang has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Yuan Yan Tang, Zhaowei Shang, Yuanyan Tang, Taiping Zhang, Mingliang Zhou, Jing Wen, Weibin Yang, Lin Chen, Jiye Qian and Xuekai Wei. Their work appears in journals such as Neurocomputing, IEEE Transactions on Broadcasting, Pattern Recognition, Information Sciences and International Journal of Pattern Recognition and Artificial Intelligence.
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.