Bo Ren
Impact in
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- Computer Graphics and Visualization Techniques
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- Handwritten Text Recognition Techniques
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
Papers in
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- Multimodal Machine Learning Applications 9
- Handwritten Text Recognition Techniques 8
- Advanced Vision and Imaging 5
- Human Pose and Action Recognition 4
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- Text and Document Classification Technologies 7
- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Deqiang Jiang (9 shared papers)Ruizhi Qiao (6 shared papers)Hao Liu (8 shared papers)Shi‐Min Hu (4 shared papers)Lizhuang Ma (2 shared papers)Yunhang Shen (3 shared papers)Yinsong Liu (6 shared papers)Yuan Xie (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)Ceramics International (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)Pattern Recognition (1 paper)ACM Transactions on Graphics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bo Ren
29 papers receiving 388 citations
Peers
Comparison fields: 5 of 68
- Computer Graphics and Computer-Aided Design 57
- Computer Vision and Pattern Recognition 232
- Geology 52
- Computational Mechanics 93
- Environmental Engineering 63
Countries citing papers authored by Bo Ren
This map shows the geographic impact of Bo 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 Bo Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Ren more than expected).
Fields of papers citing papers by Bo Ren
This network shows the impact of papers produced by Bo 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 Bo Ren. The network helps show where Bo Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 66 | |
| 2 | 2023 | 26 | |
| 3 | 2021 | 24 | |
| 4 | 2022 | 23 | |
| 5 | 2020 | 21 | |
| 6 | 2011 | 19 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 17 | |
| 9 | 2013 | 16 | |
| 10 | 2021 | 16 | |
| 11 | 2011 | 16 | |
| 12 | 2012 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2022 | 8 |
About Bo Ren
Bo Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 31 papers that have together received 397 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (9 papers), Handwritten Text Recognition Techniques (8 papers), Text and Document Classification Technologies (7 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Vision and Imaging (5 papers), Human Pose and Action Recognition (4 papers), Computer Graphics and Visualization Techniques (4 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (57 citations), Computer Vision and Pattern Recognition (232 citations), Geology (52 citations), Computational Mechanics (93 citations) and Environmental Engineering (63 citations). Bo Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Deqiang Jiang, Ruizhi Qiao, Hao Liu, Shi‐Min Hu, Lizhuang Ma, Yunhang Shen, Yinsong Liu, Yuan Xie, Shaohui Lin and Bo Ke. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Ceramics International, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition and ACM Transactions on Graphics.
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.