Xiao-Shan Gao
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 2%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Geology top 5%
- Co-authors
- Hong ChengXiaorong HouJianliang TangLuming DuanZhuo ZhangGuifang ZhangQizheng LiaoLei Ding
- Topics
- Advanced Numerical Analysis Techniques (3 papers)Robotic Mechanisms and Dynamics (3 papers)Artificial Intelligence in Games (1 paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScience AdvancesMaterials Science and Engineering A
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Xiao-Shan Gao
8 papers receiving 818 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 509
- Aerospace Engineering 494
- Control and Systems Engineering 130
- Artificial Intelligence 101
- Geology 84
Countries citing papers authored by Xiao-Shan Gao
This map shows the geographic impact of Xiao-Shan Gao'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 Xiao-Shan Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Shan Gao more than expected).
Fields of papers citing papers by Xiao-Shan Gao
This network shows the impact of papers produced by Xiao-Shan Gao. 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 Xiao-Shan Gao. The network helps show where Xiao-Shan Gao may publish in the future.
Co-authorship network of co-authors of Xiao-Shan Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Shan Gao. A scholar is included among the top collaborators of Xiao-Shan Gao 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 Xiao-Shan Gao. Xiao-Shan Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 80 | |
| 8 | 5 | |
| 9 | 26 | |
| 10 | 81 | |
| 11 | Complete solution classification for the perspective-three-point problembreakdown → | 648 |
About Xiao-Shan Gao
Xiao-Shan Gao is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Control and Systems Engineering, having authored 11 papers that have together received 849 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (3 papers), Robotic Mechanisms and Dynamics (3 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (509 citations), Aerospace Engineering (494 citations) and Geology (84 citations). Xiao-Shan Gao has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Hong Cheng, Xiaorong Hou, Jianliang Tang, Luming Duan, Zhuo Zhang, Guifang Zhang, Qizheng Liao, Lei Ding, Qiang Lin and Guifang Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Science Advances and Materials Science and Engineering A.
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.