Bin Ren
Impact in
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- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
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- Hand Gesture Recognition Systems
Papers in
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- Generative Adversarial Networks and Image Synthesis 6
- Human Pose and Action Recognition 6
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 3
- Handwritten Text Recognition Techniques 2
- Geology 2
- Co-authors
- Runwei Ding (3 shared papers)Mengyuan Liu (6 shared papers)Hong Liu (5 shared papers)Nicu Sebe (14 shared papers)Hao Tang (6 shared papers)Songsong Wu (1 shared paper)Paolo Rota (1 shared paper)Lei Ding (1 shared paper)
- Journals
- ACM Transactions on Multimedia Computing Communications and Applications (2 papers)IEEE Transactions on Multimedia (2 papers)IEEE Transactions on Image Processing (1 paper)PLoS Computational Biology (1 paper)Journal of Field Robotics (1 paper)
- Partner nations
- ChinaItalySwitzerland
In The Last Decade
Bin Ren
18 papers receiving 172 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 112
- Human-Computer Interaction 18
- Health Informatics 3
- Geology 9
- Computer Graphics and Computer-Aided Design 5
Countries citing papers authored by Bin Ren
This map shows the geographic impact of Bin Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ren more than expected).
Fields of papers citing papers by Bin Ren
This network shows the impact of papers produced by Bin Ren. 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 Ren. The network helps show where Bin Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Ren, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 65 | |
| 2 | 2022 | 31 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 12 | |
| 5 | 2025 | 10 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2010 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Bin Ren
Bin Ren is a scholar working on Computer Vision and Pattern Recognition, Geology, Aerospace Engineering, Computational Mechanics and Control and Systems Engineering, having authored 24 papers that have together received 180 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Human Pose and Action Recognition (6 papers), Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers), Handwritten Text Recognition Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (112 citations), Human-Computer Interaction (18 citations), Health Informatics (3 citations), Geology (9 citations) and Computer Graphics and Computer-Aided Design (5 citations). Bin Ren has collaborated with scholars based in China, Italy and Switzerland. Frequent co-authors include Runwei Ding, Mengyuan Liu, Hong Liu, Nicu Sebe, Hao Tang, Songsong Wu, Paolo Rota, Lei Ding, Yahui Liu and Rita Cucchiara. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, PLoS Computational Biology and Journal of Field Robotics.
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.