Chao-Hui Shen
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Image Processing and 3D Reconstruction 2
- Advanced Vision and Imaging 2
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- 3D Shape Modeling and Analysis 6
- Co-authors
- Shi‐Min Hu (7 shared papers)Hongbo Fu (4 shared papers)Shi-Sheng Huang (6 shared papers)Kuo‐Liang Chung (1 shared paper)Kang Chen (1 shared paper)Xianying Li (3 shared papers)Tao Ju (3 shared papers)Hao Zhang (1 shared paper)
- Journals
- ACM Transactions on Graphics (5 papers)Pattern Recognition Letters (1 paper)International Journal of Biological Macromolecules (1 paper)Journal of Computer Science and Technology (2 papers)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chao-Hui Shen
12 papers receiving 463 citations
Peers
Comparison fields: 5 of 42
- Computer Graphics and Computer-Aided Design 137
- Geology 134
- Computer Vision and Pattern Recognition 340
- Computational Mechanics 150
- Environmental Engineering 78
Countries citing papers authored by Chao-Hui Shen
This map shows the geographic impact of Chao-Hui 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 Chao-Hui Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Hui Shen more than expected).
Fields of papers citing papers by Chao-Hui Shen
This network shows the impact of papers produced by Chao-Hui 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 Chao-Hui Shen. The network helps show where Chao-Hui Shen may publish in the future.
Co-authors
The 19 scholars most cited alongside Chao-Hui 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 | 2001 | 123 | |
| 2 | 2012 | 121 | |
| 3 | 2010 | 78 | |
| 4 | 2011 | 50 | |
| 5 | 2011 | 46 | |
| 6 | 2013 | 37 | |
| 7 | 2011 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2010 | 7 | |
| 10 | 2010 | 4 | |
| 11 | 2012 | 3 | |
| 12 | 2010 | 1 |
About Chao-Hui Shen
Chao-Hui Shen is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Geology and Environmental Engineering, having authored 12 papers that have together received 488 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers), 3D Surveying and Cultural Heritage (4 papers), Remote Sensing and LiDAR Applications (3 papers), Computational Geometry and Mesh Generation (3 papers), Image Processing and 3D Reconstruction (2 papers), Advanced Vision and Imaging (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (137 citations), Geology (134 citations), Computer Vision and Pattern Recognition (340 citations), Computational Mechanics (150 citations) and Environmental Engineering (78 citations). Chao-Hui Shen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shi‐Min Hu, Hongbo Fu, Shi-Sheng Huang, Kuo‐Liang Chung, Kang Chen, Xianying Li, Tao Ju, Hao Zhang, Alla Sheffer and Ariel Shamir. Their work appears in journals such as ACM Transactions on Graphics, Pattern Recognition Letters, International Journal of Biological Macromolecules, Journal of Computer Science and Technology and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.