Xingye Da
Impact in
- Biomedical Engineering top 10%
- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
- Muscle activation and electromyography studies
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
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- Robotic Locomotion and Control 12
- Prosthetics and Rehabilitation Robotics 4
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- Reinforcement Learning in Robotics 4
- Co-authors
- Jessy W. Grizzle (6 shared papers)Ross Hartley (4 shared papers)Omar Harib (2 shared papers)Ayonga Hereid (1 shared paper)Jiunn-Kai Huang (1 shared paper)Yukai Gong (1 shared paper)Brent Griffin (1 shared paper)Animesh Garg (2 shared papers)
- Journals
- IEEE Access (1 paper)Journal of Computational and Nonlinear Dynamics (1 paper)The International Journal of Robotics Research (1 paper)arXiv (Cornell University) (1 paper)2017 IEEE Conference on Control Technology and Applications (CCTA) (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Xingye Da
12 papers receiving 385 citations
Peers
Comparison fields: 5 of 41
- Biomedical Engineering 352
- Control and Systems Engineering 124
- Genetics 35
- Computer Vision and Pattern Recognition 49
- Aerospace Engineering 55
Countries citing papers authored by Xingye Da
This map shows the geographic impact of Xingye Da'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 Xingye Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingye Da more than expected).
Fields of papers citing papers by Xingye Da
This network shows the impact of papers produced by Xingye Da. 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 Xingye Da. The network helps show where Xingye Da may publish in the future.
Co-authors
The 24 scholars most cited alongside Xingye Da, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 130 | |
| 2 | 2016 | 72 | |
| 3 | 2021 | 47 | |
| 4 | 2019 | 40 | |
| 5 | 2017 | 37 | |
| 6 | 2017 | 30 | |
| 7 | 2017 | 11 | |
| 8 | 2016 | 7 | |
| 9 | Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion | 2020 | 6 |
| 10 | 2013 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2012 | 3 |
About Xingye Da
Xingye Da is a scholar working on Biomedical Engineering, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering and Mechanical Engineering, having authored 12 papers that have together received 392 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (12 papers), Reinforcement Learning in Robotics (4 papers), Prosthetics and Rehabilitation Robotics (4 papers), Biomimetic flight and propulsion mechanisms (3 papers), Hydraulic and Pneumatic Systems (2 papers), Control and Dynamics of Mobile Robots (2 papers), Soil Mechanics and Vehicle Dynamics (2 papers) and Evacuation and Crowd Dynamics (1 paper). The work is most often cited by research in Biomedical Engineering (352 citations), Control and Systems Engineering (124 citations), Genetics (35 citations), Computer Vision and Pattern Recognition (49 citations) and Aerospace Engineering (55 citations). Xingye Da has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Jessy W. Grizzle, Ross Hartley, Omar Harib, Ayonga Hereid, Jiunn-Kai Huang, Yukai Gong, Brent Griffin, Animesh Garg, Zhaoming Xie and B. N. Babich. Their work appears in journals such as IEEE Access, Journal of Computational and Nonlinear Dynamics, The International Journal of Robotics Research, arXiv (Cornell University) and 2017 IEEE Conference on Control Technology and Applications (CCTA).
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.