Wenhao Yu
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Greg TurkC. Karen LiuJie TanCharles C. KempYunfei BaiAlexander CleggAriel KapustaSehoon Ha
- Topics
- Robot Manipulation and Learning (8 papers)Reinforcement Learning in Robotics (7 papers)Human Pose and Action Recognition (5 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- IEEE Transactions on Power SystemsIndustrial & Engineering Chemistry ResearchJournal of Experimental Psychology Human Perception & Performance
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Wenhao Yu
32 papers receiving 608 citations
Peers
Comparison fields: 5 of 91
- Control and Systems Engineering 323
- Biomedical Engineering 181
- Computer Vision and Pattern Recognition 177
- Artificial Intelligence 162
- Electrical and Electronic Engineering 87
Countries citing papers authored by Wenhao Yu
This map shows the geographic impact of Wenhao Yu'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 Wenhao Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenhao Yu more than expected).
Fields of papers citing papers by Wenhao Yu
This network shows the impact of papers produced by Wenhao Yu. 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 Wenhao Yu. The network helps show where Wenhao Yu may publish in the future.
Co-authorship network of co-authors of Wenhao Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Wenhao Yu. A scholar is included among the top collaborators of Wenhao Yu 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 Wenhao Yu. Wenhao Yu 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 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 32 | |
| 10 | 46 | |
| 11 | 23 | |
| 12 | 15 | |
| 13 | 44 | |
| 14 | 2 | |
| 15 | 56 | |
| 16 | 1 | |
| 17 | Policy Transfer with Strategy Optimization | 8 |
| 18 | 29 | |
| 19 | 25 | |
| 20 | Robot Navigation Technology and Its Standardization Trends | 1 |
About Wenhao Yu
Wenhao Yu is a scholar working on Control and Systems Engineering, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 36 papers that have together received 625 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Reinforcement Learning in Robotics (7 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Control and Systems Engineering (323 citations), Computer Vision and Pattern Recognition (177 citations) and Human-Computer Interaction (34 citations). Wenhao Yu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Greg Turk, C. Karen Liu, Jie Tan, Charles C. Kemp, Yunfei Bai, Alexander Clegg, Ariel Kapusta, Sehoon Ha, Tingnan Zhang and Liang Sun. Their work appears in journals such as IEEE Transactions on Power Systems, Industrial & Engineering Chemistry Research and Journal of Experimental Psychology Human Perception & Performance.
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.