Xin Ma
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Surgery
- Mechanical Engineering top 10%
- Co-authors
- Philip Wai Yan ChiuZheng LiWeibing LiLong JinJiawei LuoJianhuang WuHaisheng YangMingqiang Wei
- Topics
- Soft Robotics and Applications (24 papers)Surgical Simulation and Training (16 papers)Robot Manipulation and Learning (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringComputer Graphics and Computer-Aided Design
- Journals
- Journal of Cleaner ProductionIEEE Transactions on Industrial ElectronicsInternational Journal of Hydrogen Energy
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xin Ma
93 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Biomedical Engineering 382
- Computer Vision and Pattern Recognition 342
- Control and Systems Engineering 309
- Surgery 269
- Mechanical Engineering 173
Countries citing papers authored by Xin Ma
This map shows the geographic impact of Xin Ma'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 Xin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Ma more than expected).
Fields of papers citing papers by Xin Ma
This network shows the impact of papers produced by Xin Ma. 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 Xin Ma. The network helps show where Xin Ma may publish in the future.
Co-authorship network of co-authors of Xin Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Ma. A scholar is included among the top collaborators of Xin Ma 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 Xin Ma. Xin Ma 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 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 32 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 21 | |
| 16 | 18 | |
| 17 | 4 | |
| 18 | 18 | |
| 19 | 21 | |
| 20 | Study on real option model and short-term risk evaluation of generation assets value | 1 |
About Xin Ma
Xin Ma is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Soft Robotics and Applications (24 papers), Surgical Simulation and Training (16 papers) and Robot Manipulation and Learning (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (342 citations), Control and Systems Engineering (309 citations) and Computer Graphics and Computer-Aided Design (34 citations). Xin Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Philip Wai Yan Chiu, Zheng Li, Weibing Li, Long Jin, Jiawei Luo, Jianhuang Wu, Haisheng Yang, Mingqiang Wei, Qingmao Hu and Kwok Wai Samuel Au. Their work appears in journals such as Journal of Cleaner Production, IEEE Transactions on Industrial Electronics and International Journal of Hydrogen Energy.
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.