Yunfei Bai
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- Robot Manipulation and Learning 7
- Human Motion and Animation 5
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- Human Pose and Action Recognition 6
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics 3
- Adversarial Robustness in Machine Learning 2
- Human-Computer Interaction top 10%
- Biomedical Engineering top 10%
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- Computer Graphics and Visualization Techniques 3
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- 3D Shape Modeling and Analysis 3
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- Model Reduction and Neural Networks 2
- Co-authors
- C. Karen LiuJie TanErwin CoumansTingnan ZhangAtıl IşçenDanijar HafnerSteven BohezVincent Vanhoucke
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- ACM Transactions on Graphics (2 papers)Journal of Hydrology (1 paper)Computer Graphics Forum (1 paper)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Yunfei Bai
20 papers receiving 712 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 360
- Computer Vision and Pattern Recognition 229
- Artificial Intelligence 278
- Human-Computer Interaction 37
- Biomedical Engineering 292
Countries citing papers authored by Yunfei Bai
This map shows the geographic impact of Yunfei Bai'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 Yunfei Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunfei Bai more than expected).
Fields of papers citing papers by Yunfei Bai
This network shows the impact of papers produced by Yunfei Bai. 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 Yunfei Bai. The network helps show where Yunfei Bai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunfei Bai, 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 | 2025 | 2 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 50 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 56 | |
| 11 | Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards | 2020 | 3 |
| 12 | 2020 | 7 | |
| 13 | Sim-to-Real: Learning Agile Locomotion For Quadruped Robotsbreakdown → | 2018 | 379 |
| 14 | Learning Grasping Interaction with Geometry-aware 3D Representations. | 2017 | 4 |
| 15 | 2016 | 22 | |
| 16 | 2016 | 23 | |
| 17 | 2014 | 66 | |
| 18 | 2014 | 8 | |
| 19 | 2012 | 21 | |
| 20 | 2011 | 32 |
About Yunfei Bai
Yunfei Bai is a scholar working on Computer Graphics and Computer-Aided Design, Control and Systems Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction and Ceramics and Composites, having authored 20 papers that have together received 731 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Human Pose and Action Recognition (6 papers), Human Motion and Animation (5 papers), Computer Graphics and Visualization Techniques (3 papers), Reinforcement Learning in Robotics (3 papers), 3D Shape Modeling and Analysis (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Control and Systems Engineering (360 citations), Computer Vision and Pattern Recognition (229 citations), Artificial Intelligence (278 citations), Human-Computer Interaction (37 citations) and Biomedical Engineering (292 citations). Yunfei Bai has collaborated with scholars based in United States, China and Austria. Frequent co-authors include C. Karen Liu, Jie Tan, Erwin Coumans, Tingnan Zhang, Atıl Işçen, Danijar Hafner, Steven Bohez, Vincent Vanhoucke, Sehoon Ha and Wenhao Yu. Their work appears in journals such as ACM Transactions on Graphics, Journal of Hydrology, Computer Graphics Forum, Frontiers in Bioengineering and Biotechnology and Applied Physics Reviews.
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.