Richard Cheng

827 total citations · 1 hit paper
12 papers, 451 citations indexed

About

Richard Cheng is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Richard Cheng has authored 12 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Aerospace Engineering. Recurrent topics in Richard Cheng's work include Robotic Path Planning Algorithms (4 papers), Spinal Cord Injury Research (3 papers) and Muscle activation and electromyography studies (2 papers). Richard Cheng is often cited by papers focused on Robotic Path Planning Algorithms (4 papers), Spinal Cord Injury Research (3 papers) and Muscle activation and electromyography studies (2 papers). Richard Cheng collaborates with scholars based in United States and Hong Kong. Richard Cheng's co-authors include Joel W. Burdick, Gábor Orosz, Richard M. Murray, Aaron D. Ames, Robert J. Wood, Pakpong Chirarattananon, Y. Kevin, Yufeng Chen, E. Farrell Helbling and Yanan Sui and has published in prestigious journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Interface Focus and PubMed.

In The Last Decade

Richard Cheng

11 papers receiving 443 citations

Hit Papers

End-to-End Safe Reinforce... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
    2019 302 citations Richard Cheng, Gábor Orosz et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard Cheng United States 7 231 188 89 82 65 12 451
Emo Todorov United States 6 276 1.2× 121 0.6× 46 0.5× 45 0.5× 124 1.9× 8 436
Michael Hofbaur Austria 11 200 0.9× 127 0.7× 58 0.7× 18 0.2× 73 1.1× 53 417
Nolan Wagener United States 4 278 1.2× 190 1.0× 22 0.2× 74 0.9× 109 1.7× 5 468
George K. Fourlas Greece 10 251 1.1× 48 0.3× 32 0.4× 35 0.4× 85 1.3× 34 387
Ricardo Balcázar Mexico 13 279 1.2× 94 0.5× 35 0.4× 19 0.2× 52 0.8× 15 473
Andon V. Topalov Bulgaria 12 315 1.4× 152 0.8× 27 0.3× 57 0.7× 83 1.3× 54 499
Leonard Bauersfeld Switzerland 10 208 0.9× 135 0.7× 31 0.3× 76 0.9× 233 3.6× 18 648
Eric M. Wolff United States 12 97 0.4× 142 0.8× 239 2.7× 32 0.4× 87 1.3× 17 427
Yi-Hsing Chien Taiwan 10 239 1.0× 123 0.7× 28 0.3× 16 0.2× 94 1.4× 27 377
Edgar Alfredo Portilla-Flores Mexico 14 211 0.9× 101 0.5× 79 0.9× 12 0.1× 58 0.9× 63 458

Countries citing papers authored by Richard Cheng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

12 of 12 papers shown
1.
2.
Cheng, Richard, et al.. (2023). Motion Planning to Cartesian Targets Leveraging Large-Scale Dynamic Roadmaps. 1–7. 1 indexed citations
3.
Cheng, Richard, Richard M. Murray, & Joel W. Burdick. (2021). Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty. 3182–3189. 6 indexed citations
4.
Cheng, Richard, et al.. (2020). Learning an Optimal Sampling Distribution for Efficient Motion Planning. 7485–7492. 8 indexed citations
5.
Cheng, Richard, et al.. (2020). Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties. 777–783. 44 indexed citations
6.
Cheng, Richard, Yanan Sui, Dimitry G. Sayenko, & Joel W. Burdick. (2019). Motor Control After Human SCI Through Activation of Muscle Synergies Under Spinal Cord Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(6). 1331–1340. 19 indexed citations
7.
Cheng, Richard, et al.. (2019). Control Regularization for Reduced Variance Reinforcement Learning. arXiv (Cornell University). 1141–1150. 17 indexed citations
8.
Cheng, Richard, Gábor Orosz, Richard M. Murray, & Joel W. Burdick. (2019). End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3387–3395. 302 indexed citations breakdown →
9.
Cheng, Richard, Yanan Sui, Dimitry G. Sayenko, & Joel W. Burdick. (2018). On Muscle Activation for Improving Robotic Rehabilitation after Spinal Cord Injury. 85. 798–805.
10.
Cheng, Richard & Joel W. Burdick. (2018). Extraction of Muscle Synergies in Spinal Cord Injured Patients. PubMed. 2018. 2623–2626. 3 indexed citations
11.
Chirarattananon, Pakpong, Yufeng Chen, E. Farrell Helbling, et al.. (2016). Dynamics and flight control of a flapping-wing robotic insect in the presence of wind gusts. Interface Focus. 7(1). 20160080–20160080. 43 indexed citations
12.
Chirarattananon, Pakpong, Y. Kevin, Richard Cheng, & Robert J. Wood. (2015). Wind disturbance rejection for an insect-scale flapping-wing robot. 60–67. 7 indexed citations

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.

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