Guanya Shi
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Soon‐Jo ChungYisong YueXichen ShiMichael O’ConnellKamyar AzizzadenesheliAnima AnandkumarWolfgang HönigHongbo Gao
- Topics
- Advanced Control Systems Optimization (8 papers)Advanced Bandit Algorithms Research (8 papers)Reinforcement Learning in Robotics (5 papers)
- Cited by
- Control and Systems EngineeringAutomotive EngineeringComputer Vision and Pattern Recognition
- Journals
- Journal of Physics D Applied PhysicsIEEE Transactions on RoboticsJournal of Comparative Physiology A
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Guanya Shi
37 papers receiving 532 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Control and Systems Engineering 196
- Aerospace Engineering 108
- Computer Vision and Pattern Recognition 107
- Artificial Intelligence 106
- Biomedical Engineering 104
Countries citing papers authored by Guanya Shi
This map shows the geographic impact of Guanya Shi'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 Guanya Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanya Shi more than expected).
Fields of papers citing papers by Guanya Shi
This network shows the impact of papers produced by Guanya Shi. 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 Guanya Shi. The network helps show where Guanya Shi may publish in the future.
Co-authorship network of co-authors of Guanya Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Guanya Shi. A scholar is included among the top collaborators of Guanya Shi 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 Guanya Shi. Guanya Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 25 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 49 | |
| 15 | Meta-Adaptive Nonlinear Control: Theory and Algorithms | 1 |
| 16 | Online Optimization with Memory and Competitive Control | 2 |
| 17 | Beyond No-Regret: Competitive Control via Online Optimization with Memory | 1 |
| 18 | 16 | |
| 19 | 22 | |
| 20 | 4 |
About Guanya Shi
Guanya Shi is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 547 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (8 papers), Advanced Bandit Algorithms Research (8 papers) and Reinforcement Learning in Robotics (5 papers). The work is most often cited by research in Control and Systems Engineering (196 citations), Automotive Engineering (97 citations) and Computer Vision and Pattern Recognition (107 citations). Guanya Shi has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Soon‐Jo Chung, Yisong Yue, Xichen Shi, Michael O’Connell, Kamyar Azizzadenesheli, Anima Anandkumar, Wolfgang Hönig, Hongbo Gao, Guotao Xie and Bo Cheng. Their work appears in journals such as Journal of Physics D Applied Physics, IEEE Transactions on Robotics and Journal of Comparative Physiology 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.