Fangbin Wan
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Face recognition and analysis
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
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- Fire Detection and Safety Systems
Papers in
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- Video Surveillance and Tracking Methods 4
- Advanced Neural Network Applications 2
- Advanced Image and Video Retrieval Techniques 1
- Face recognition and analysis 1
- Human Pose and Action Recognition 1
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- Biometric Identification and Security 1
- Co-authors
- Yang Wu (3 shared papers)Yanwei Fu (3 shared papers)Yabiao Wang (1 shared paper)Changan Wang (1 shared paper)Feiyue Huang (1 shared paper)Ying Tai (1 shared paper)Chengjie Wang (1 shared paper)Jinlong Peng (1 shared paper)
In The Last Decade
Fangbin Wan
4 papers receiving 385 citations
Fangbin Wan's Hit Papers
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 370
- Safety, Risk, Reliability and Quality 60
- Aerospace Engineering 66
- Biomedical Engineering 66
- Artificial Intelligence 49
Countries citing papers authored by Fangbin Wan
This map shows the geographic impact of Fangbin Wan'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 Fangbin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangbin Wan more than expected).
Fields of papers citing papers by Fangbin Wan
This network shows the impact of papers produced by Fangbin Wan. 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 Fangbin Wan. The network helps show where Fangbin Wan may publish in the future.
Co-authors
The 16 scholars most cited alongside Fangbin Wan, 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 | Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking Hit paper breakdown → | 2020 | 265 |
| 2 | 2020 | 111 | |
| 3 | 2022 | 8 | |
| 4 | 2020 | 6 |
About Fangbin Wan
Fangbin Wan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Biomedical Engineering and Infectious Diseases, having authored 4 papers that have together received 390 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Face recognition and analysis (1 paper), Gait Recognition and Analysis (1 paper), Biometric Identification and Security (1 paper), Human Pose and Action Recognition (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (370 citations), Safety, Risk, Reliability and Quality (60 citations), Aerospace Engineering (66 citations), Biomedical Engineering (66 citations) and Artificial Intelligence (49 citations). Fangbin Wan has collaborated with scholars based in China and Japan. Frequent co-authors include Yang Wu, Yanwei Fu, Yabiao Wang, Changan Wang, Feiyue Huang, Ying Tai, Chengjie Wang, Jinlong Peng, Jilin Li and Xuelin Qian. Their work appears in journals such as Pattern Recognition, Future Generation Computer Systems and Lecture notes in computer science.
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.