Bokui Shen
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Aerospace Engineering
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 10%
- Co-authors
- Leonidas GuibasSilvio SavareseLyne P. TchapmiRoberto Martín-MartínGordon WetzsteinFei XiaLi Fei-FeiAdam W. Harley
- Topics
- Advanced Vision and Imaging (4 papers)Robot Manipulation and Learning (4 papers)3D Shape Modeling and Analysis (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignControl and Systems Engineering
- Journals
- The International Journal of Robotics ResearchIEEE Robotics and Automation Letters2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
Bokui Shen
10 papers receiving 164 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 121
- Control and Systems Engineering 48
- Aerospace Engineering 44
- Artificial Intelligence 36
- Computer Graphics and Computer-Aided Design 18
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-authorship network of co-authors of Bokui Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Bokui Shen. A scholar is included among the top collaborators of Bokui Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bokui Shen. Bokui Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 30 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 94 |
About Bokui Shen
Bokui Shen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 12 papers that have together received 170 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Robot Manipulation and Learning (4 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Computer Graphics and Computer-Aided Design (18 citations) and Control and Systems Engineering (48 citations). Bokui Shen has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Leonidas Guibas, Silvio Savarese, Lyne P. Tchapmi, Roberto Martín-Martín, Gordon Wetzstein, Fei Xia, Li Fei-Fei, Adam W. Harley, Linxi Fan and Claudia Pérez-D’Arpino. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.