Bin Sheng
Impact in
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Human Pose and Action Recognition
- Digital Imaging for Blood Diseases
- Ophthalmology top 1%
Papers in
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- Advanced Vision and Imaging 36
- Image Enhancement Techniques 22
- Advanced Image Processing Techniques 19
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- Retinal Imaging and Analysis 17
- Co-authors
- Ping Li (49 shared papers)Dagan Feng (13 shared papers)Huating Li (12 shared papers)Xuhong Hou (7 shared papers)Po Yang (10 shared papers)Weiping Jia (7 shared papers)Anum Masood (9 shared papers)Ruimin Shen (7 shared papers)
In The Last Decade
Bin Sheng
111 papers receiving 2.4k citations
Bin Sheng's Hit Papers
Peers
Comparison fields: 5 of 144
- Computer Vision and Pattern Recognition 1.2k
- Ophthalmology 302
- Radiology, Nuclear Medicine and Imaging 679
- Health Informatics 38
- Media Technology 213
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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 226 | |
| 2 | 2018 | 172 | |
| 3 | 2010 | 150 | |
| 4 | 2018 | 142 | |
| 5 | 2018 | 137 | |
| 6 | 2018 | 102 | |
| 7 | 2020 | 79 | |
| 8 | 2020 | 78 | |
| 9 | 2015 | 71 | |
| 10 | 2020 | 67 | |
| 11 | 2018 | 61 | |
| 12 | 2018 | 59 | |
| 13 | 2018 | 57 | |
| 14 | 2005 | 57 | |
| 15 | 2019 | 48 | |
| 16 | 2018 | 45 | |
| 17 | 2014 | 35 | |
| 18 | 2013 | 35 | |
| 19 | 2018 | 35 | |
| 20 | 2019 | 33 |
About Bin Sheng
Bin Sheng is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design, Ophthalmology and Artificial Intelligence, having authored 121 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (36 papers), Image Enhancement Techniques (22 papers), Advanced Image Processing Techniques (19 papers), Computer Graphics and Visualization Techniques (18 papers), Retinal Imaging and Analysis (17 papers), Retinal and Optic Conditions (9 papers), Retinal Diseases and Treatments (8 papers) and Glaucoma and retinal disorders (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Ophthalmology (302 citations), Radiology, Nuclear Medicine and Imaging (679 citations), Health Informatics (38 citations) and Media Technology (213 citations). Bin Sheng has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Ping Li, Dagan Feng, Huating Li, Xuhong Hou, Po Yang, Weiping Jia, Anum Masood, Ruimin Shen, Ruogu Fang and Ling Dai. Their work appears in journals such as Multimedia Tools and Applications, IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Industrial Informatics.
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.