Yuzhe Qin
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence
- Cognitive Neuroscience
- Topics
- Robot Manipulation and Learning (19 papers)Human Pose and Action Recognition (7 papers)Reinforcement Learning in Robotics (5 papers)
- Cited by
- Control and Systems EngineeringHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on RoboticsIEEE Robotics and Automation Letters2021 IEEE/CVF International Conference on Computer Vision (ICCV)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yuzhe Qin
19 papers receiving 382 citations
Peers
Comparison fields: 5 of 41
- Control and Systems Engineering 252
- Computer Vision and Pattern Recognition 147
- Biomedical Engineering 109
- Artificial Intelligence 82
- Cognitive Neuroscience 57
Countries citing papers authored by Yuzhe Qin
This map shows the geographic impact of Yuzhe Qin'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 Yuzhe Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuzhe Qin more than expected).
Fields of papers citing papers by Yuzhe Qin
This network shows the impact of papers produced by Yuzhe Qin. 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 Yuzhe Qin. The network helps show where Yuzhe Qin may publish in the future.
Co-authorship network of co-authors of Yuzhe Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Yuzhe Qin. A scholar is included among the top collaborators of Yuzhe Qin 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 Yuzhe Qin. Yuzhe Qin 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 | 5 | |
| 4 | 7 | |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 28 | |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 7 | |
| 12 | 54 | |
| 13 | 35 | |
| 14 | 9 | |
| 15 | 11 | |
| 16 | 58 | |
| 17 | 33 | |
| 18 | 65 | |
| 19 | S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes. | 8 |
| 20 | 6 |
About Yuzhe Qin
Yuzhe Qin is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 390 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (19 papers), Human Pose and Action Recognition (7 papers) and Reinforcement Learning in Robotics (5 papers). The work is most often cited by research in Control and Systems Engineering (252 citations), Human-Computer Interaction (50 citations) and Computer Vision and Pattern Recognition (147 citations). Yuzhe Qin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiaolong Wang, Qifeng Chen, Hao Su, Xiaolong Wang, Baoquan Chen, Leonidas Guibas, Yueqi Duan, He Wang, Qingnan Fan and Jiashun Wang. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.