Richard Cheng
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Automotive Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Joel W. BurdickRichard M. MurrayGábor OroszAaron D. AmesY. KevinRobert J. WoodPakpong ChirarattananonE. Farrell Helbling
- Topics
- Robotic Path Planning Algorithms (4 papers)Spinal Cord Injury Research (3 papers)Muscle activation and electromyography studies (2 papers)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation EngineeringInterface FocusarXiv (Cornell University)
- Partner nations
- United StatesHong Kong
In The Last Decade
Richard Cheng
11 papers receiving 443 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 231
- Artificial Intelligence 188
- Computational Theory and Mathematics 89
- Automotive Engineering 82
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by Richard Cheng
This map shows the geographic impact of Richard Cheng'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 Richard Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Cheng more than expected).
Fields of papers citing papers by Richard Cheng
This network shows the impact of papers produced by Richard Cheng. 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 Richard Cheng. The network helps show where Richard Cheng may publish in the future.
Co-authorship network of co-authors of Richard Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Cheng. A scholar is included among the top collaborators of Richard Cheng 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 Richard Cheng. Richard Cheng 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 | 8 | |
| 5 | 44 | |
| 6 | 19 | |
| 7 | 17 | |
| 8 | End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasksbreakdown → | 302 |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 43 | |
| 12 | 7 |
About Richard Cheng
Richard Cheng is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 12 papers that have together received 451 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (4 papers), Spinal Cord Injury Research (3 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Control and Systems Engineering (231 citations), Automotive Engineering (82 citations) and Artificial Intelligence (188 citations). Richard Cheng has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Joel W. Burdick, Richard M. Murray, Gábor Orosz, Aaron D. Ames, Y. Kevin, Robert J. Wood, Pakpong Chirarattananon, E. Farrell Helbling, Yufeng Chen and Yanan Sui. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Interface Focus and arXiv (Cornell University).
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.