Xiaogang Jin
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 10%
- Computer Graphics and Computer-Aided Design top 0.5%
- Mechanical Engineering top 5%
- Computational Mechanics top 2%
- Co-authors
- Xiang LingXiaoyi ChenZhigang DengChengbin PengHanli ZhaoCharlie C. L. WangQianwen ChaoKa‐Chun Wong
- Topics
- Computer Graphics and Visualization Techniques (69 papers)3D Shape Modeling and Analysis (61 papers)Advanced Vision and Imaging (34 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionTransportation
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaogang Jin
191 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 156
- Computer Vision and Pattern Recognition 709
- Biomedical Engineering 441
- Computer Graphics and Computer-Aided Design 410
- Mechanical Engineering 403
- Computational Mechanics 363
Countries citing papers authored by Xiaogang Jin
This map shows the geographic impact of Xiaogang Jin'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 Xiaogang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaogang Jin more than expected).
Fields of papers citing papers by Xiaogang Jin
This network shows the impact of papers produced by Xiaogang Jin. 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 Xiaogang Jin. The network helps show where Xiaogang Jin may publish in the future.
Co-authorship network of co-authors of Xiaogang Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaogang Jin. A scholar is included among the top collaborators of Xiaogang Jin 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 Xiaogang Jin. Xiaogang Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 17 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 2 |
About Xiaogang Jin
Xiaogang Jin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 211 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (69 papers), 3D Shape Modeling and Analysis (61 papers) and Advanced Vision and Imaging (34 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (410 citations), Computer Vision and Pattern Recognition (709 citations) and Transportation (218 citations). Xiaogang Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiang Ling, Xiaoyi Chen, Zhigang Deng, Chengbin Peng, Hanli Zhao, Charlie C. L. Wang, Qianwen Chao, Ka‐Chun Wong, Yan Wang and Chiew‐Lan Tai. Their work appears in journals such as Environmental Science & Technology, PLoS ONE and Scientific Reports.
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.