Xueshan Gao
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Tao YangShigong JiangQiang HuangS.J. OvaskaKejie LiXingguang DuanJingtao LiYang Bai
- Topics
- Robotic Locomotion and Control (25 papers)Control and Dynamics of Mobile Robots (21 papers)Robotic Path Planning Algorithms (15 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionBiomedical Engineering
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Xueshan Gao
51 papers receiving 413 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 235
- Biomedical Engineering 222
- Computer Vision and Pattern Recognition 112
- Mechanical Engineering 95
- Artificial Intelligence 47
Countries citing papers authored by Xueshan Gao
This map shows the geographic impact of Xueshan 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 Xueshan Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueshan Gao more than expected).
Fields of papers citing papers by Xueshan Gao
This network shows the impact of papers produced by Xueshan 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 Xueshan Gao. The network helps show where Xueshan Gao may publish in the future.
Co-authorship network of co-authors of Xueshan Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Xueshan Gao. A scholar is included among the top collaborators of Xueshan 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 Xueshan Gao. Xueshan 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 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 28 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 52 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | Research of reinforcement learning based share control of walking-aid robot | 2 |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 9 |
About Xueshan Gao
Xueshan Gao is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 57 papers that have together received 439 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (25 papers), Control and Dynamics of Mobile Robots (21 papers) and Robotic Path Planning Algorithms (15 papers). The work is most often cited by research in Control and Systems Engineering (235 citations), Computer Vision and Pattern Recognition (112 citations) and Biomedical Engineering (222 citations). Xueshan Gao has collaborated with scholars based in China, Finland and Japan. Frequent co-authors include Tao Yang, Shigong Jiang, Qiang Huang, S.J. Ovaska, Kejie Li, Xingguang Duan, Jingtao Li, Yang Bai, Bin Li and Yan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.