Guanying Chen
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics top 10%
- Geology top 10%
- Environmental Engineering
- Co-authors
- Kenneth K. WongKai HanYasuyuki MatsushitaBoxin ShiChaofeng ChenShuguang CuiZhetong LiangShi Guo
- Topics
- Advanced Vision and Imaging (10 papers)Computer Graphics and Visualization Techniques (7 papers)3D Shape Modeling and Analysis (6 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Guanying Chen
20 papers receiving 360 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 286
- Computer Graphics and Computer-Aided Design 135
- Computational Mechanics 103
- Geology 43
- Environmental Engineering 31
Countries citing papers authored by Guanying Chen
This map shows the geographic impact of Guanying Chen'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 Guanying Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanying Chen more than expected).
Fields of papers citing papers by Guanying Chen
This network shows the impact of papers produced by Guanying Chen. 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 Guanying Chen. The network helps show where Guanying Chen may publish in the future.
Co-authorship network of co-authors of Guanying Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Guanying Chen. A scholar is included among the top collaborators of Guanying Chen 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 Guanying Chen. Guanying Chen 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 | 1 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | 18 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 19 | |
| 12 | 17 | |
| 13 | 10 | |
| 14 | 37 | |
| 15 | 56 | |
| 16 | 3 | |
| 17 | 79 | |
| 18 | 50 | |
| 19 | 4 | |
| 20 | 1 |
About Guanying Chen
Guanying Chen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Shape Modeling and Analysis (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (135 citations), Computer Vision and Pattern Recognition (286 citations) and Geology (43 citations). Guanying Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kenneth K. Wong, Kai Han, Yasuyuki Matsushita, Boxin Shi, Chaofeng Chen, Shuguang Cui, Zhetong Liang, Shi Guo, Cheng‐Chi Wang and Lei Zhang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.