Bin Sheng
- Health Informatics top 0.5%
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- Advanced Vision and Imaging 27
- Image Enhancement Techniques 24
- Advanced Image Processing Techniques 20
- Video Surveillance and Tracking Methods 19
- Advanced Neural Network Applications 19
- Media Technology top 0.5%
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- Computer Graphics and Visualization Techniques 27
- Health Information Management top 0.5%
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- Retinal Imaging and Analysis 21
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- 3D Shape Modeling and Analysis 20
Bin Sheng
188 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Health Informatics 251
- Computer Vision and Pattern Recognition 2.3k
- Media Technology 466
- Computer Graphics and Computer-Aided Design 154
- Health Information Management 183
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 35 | |
| 9 | 2023 | 51 | |
| 10 | Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bardbreakdown → | 2023 | 202 |
| 11 | 2023 | 8 | |
| 12 | 2022 | 6 | |
| 13 | Mixed-weight neural bagging for detecting m6A modifications in SARS-CoV-2 RNA sequencing | 2022 | 10 |
| 14 | 2022 | 1 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 28 | |
| 17 | A deep learning system for detecting diabetic retinopathy across the disease spectrumbreakdown → | 2021 | 319 |
| 18 | 2021 | 163 | |
| 19 | 2019 | 77 | |
| 20 | 2017 | 34 |
About Bin Sheng
Bin Sheng is a scholar working on Computer Graphics and Computer-Aided Design, Health Informatics, Computer Vision and Pattern Recognition, Media Technology and Ophthalmology, having authored 204 papers that have together received 4.4k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (27 papers), Advanced Vision and Imaging (27 papers), Image Enhancement Techniques (24 papers), Retinal Imaging and Analysis (21 papers), 3D Shape Modeling and Analysis (20 papers), Advanced Image Processing Techniques (20 papers), Video Surveillance and Tracking Methods (19 papers) and Advanced Neural Network Applications (19 papers). The work is most often cited by research in Health Informatics (251 citations), Computer Vision and Pattern Recognition (2.3k citations), Media Technology (466 citations), Computer Graphics and Computer-Aided Design (154 citations) and Health Information Management (183 citations). Bin Sheng has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Ping Li, Dagan Feng, C. L. Philip Chen, Zezhou Cheng, Qingxiong Yang, Huating Li, Jinman Kim, Po Yang, Xiao Lin and Shuzhou Sun. Their work appears in journals such as The Visual Computer, IEEE Transactions on Multimedia, Multimedia Tools and Applications, IEEE Transactions on Neural Networks and Learning Systems 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.