Bin Sheng
Impact in
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Health Informatics top 1%
Papers in
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- Advanced Vision and Imaging 27
- Image Enhancement Techniques 22
- Video Surveillance and Tracking Methods 22
- Advanced Image Processing Techniques 18
- Human Pose and Action Recognition 16
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- Computer Graphics and Visualization Techniques 32
- Co-authors
- Ping Li (60 shared papers)Zezhou Cheng (1 shared paper)Qingxiong Yang (1 shared paper)Dagan Feng (12 shared papers)Huating Li (19 shared papers)Jinman Kim (21 shared papers)Po Yang (9 shared papers)C. L. Philip Chen (5 shared papers)
In The Last Decade
Bin Sheng
188 papers receiving 3.6k citations
Bin Sheng's Hit Papers
Peers
Comparison fields: 5 of 167
- Computer Vision and Pattern Recognition 1.8k
- Health Informatics 106
- Computer Graphics and Computer-Aided Design 155
- Health Information Management 147
- Media Technology 300
Countries citing papers authored by Bin Sheng
This map shows the geographic impact of Bin Sheng'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 Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Sheng more than expected).
Fields of papers citing papers by Bin Sheng
This network shows the impact of papers produced by Bin Sheng. 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 Sheng. The network helps show where Bin Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Sheng, 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 207 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Colorization Hit paper breakdown → | 2015 | 406 |
| 2 | A deep learning system for detecting diabetic retinopathy across the disease spectrum Hit paper breakdown → | 2021 | 377 |
| 3 | 2021 | 189 | |
| 4 | 2020 | 163 | |
| 5 | 2023 | 139 | |
| 6 | 2018 | 81 | |
| 7 | 2019 | 78 | |
| 8 | 2022 | 69 | |
| 9 | 2019 | 65 | |
| 10 | 2023 | 58 | |
| 11 | 2021 | 54 | |
| 12 | 2019 | 53 | |
| 13 | 2020 | 50 | |
| 14 | 2013 | 50 | |
| 15 | 2021 | 49 | |
| 16 | 2024 | 48 | |
| 17 | 2023 | 47 | |
| 18 | 2022 | 45 | |
| 19 | 2014 | 42 | |
| 20 | 2021 | 41 |
About Bin Sheng
Bin Sheng is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 207 papers that have together received 3.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (32 papers), Advanced Vision and Imaging (27 papers), Image Enhancement Techniques (22 papers), 3D Shape Modeling and Analysis (22 papers), Video Surveillance and Tracking Methods (22 papers), Retinal Imaging and Analysis (18 papers), Advanced Image Processing Techniques (18 papers) and Human Pose and Action Recognition (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Health Informatics (106 citations), Computer Graphics and Computer-Aided Design (155 citations), Health Information Management (147 citations) and Media Technology (300 citations). Bin Sheng has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Ping Li, Zezhou Cheng, Qingxiong Yang, Dagan Feng, Huating Li, Jinman Kim, Po Yang, C. L. Philip Chen, Jiajia Li and Ruhan Liu. Their work appears in journals such as The Visual Computer, IEEE Transactions on Multimedia, Multimedia Tools and Applications, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Image Processing.
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.