Bokui Shen
Impact in
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- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Vision and Imaging 4
- Human Pose and Action Recognition 3
- Multimodal Machine Learning Applications 2
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- Robot Manipulation and Learning 4
- Co-authors
- Leonidas Guibas (8 shared papers)Silvio Savarese (4 shared papers)Adam W. Harley (1 shared paper)Yang Zheng (1 shared paper)Gordon Wetzstein (1 shared paper)Lyne P. Tchapmi (2 shared papers)Roberto Martín-Martín (2 shared papers)Chengshu Li (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)The International Journal of Robotics Research (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)UPCommons institutional repository (Universitat Politècnica de Catalunya) (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Bokui Shen
11 papers receiving 179 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 125
- Computer Graphics and Computer-Aided Design 19
- Control and Systems Engineering 48
- Geology 11
- Aerospace Engineering 45
Countries citing papers authored by Bokui Shen
This map shows the geographic impact of Bokui Shen'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 Bokui Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bokui Shen more than expected).
Fields of papers citing papers by Bokui Shen
This network shows the impact of papers produced by Bokui Shen. 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 Bokui Shen. The network helps show where Bokui Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bokui Shen, 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 | 2021 | 95 | |
| 2 | 2023 | 39 | |
| 3 | 2022 | 22 | |
| 4 | 2023 | 9 | |
| 5 | 2024 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2022 | 0 |
About Bokui Shen
Bokui Shen is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 12 papers that have together received 184 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Robot Manipulation and Learning (4 papers), 3D Shape Modeling and Analysis (4 papers), Human Pose and Action Recognition (3 papers), Computer Graphics and Visualization Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (125 citations), Computer Graphics and Computer-Aided Design (19 citations), Control and Systems Engineering (48 citations), Geology (11 citations) and Aerospace Engineering (45 citations). Bokui Shen has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Leonidas Guibas, Silvio Savarese, Adam W. Harley, Yang Zheng, Gordon Wetzstein, Lyne P. Tchapmi, Roberto Martín-Martín, Chengshu Li, Fei Xia and Li Fei-Fei. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), UPCommons institutional repository (Universitat Politècnica de Catalunya) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.