Yuzhe Qin

1.3k total citations
21 papers, 390 citations indexed

About

Yuzhe Qin is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yuzhe Qin has authored 21 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Yuzhe Qin's work include Robot Manipulation and Learning (19 papers), Human Pose and Action Recognition (7 papers) and Reinforcement Learning in Robotics (5 papers). Yuzhe Qin is often cited by papers focused on Robot Manipulation and Learning (19 papers), Human Pose and Action Recognition (7 papers) and Reinforcement Learning in Robotics (5 papers). Yuzhe Qin collaborates with scholars based in United States, China and United Kingdom. Yuzhe Qin's co-authors include Xiaolong Wang, Qifeng Chen, Hao Su, Xiaolong Wang, Baoquan Chen, Yueqi Duan, Qingnan Fan, Leonidas Guibas, He Wang and Jiashun Wang and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Yuzhe Qin

19 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuzhe Qin United States 10 252 147 109 82 57 21 390
Balakumar Sundaralingam United States 12 345 1.4× 206 1.4× 129 1.2× 107 1.3× 32 0.6× 17 482
Marek Kopicki United Kingdom 11 322 1.3× 138 0.9× 173 1.6× 80 1.0× 50 0.9× 18 414
Zhixing Xue Germany 11 309 1.2× 173 1.2× 149 1.4× 54 0.7× 35 0.6× 24 409
Douglas Morrison Australia 4 266 1.1× 129 0.9× 153 1.4× 85 1.0× 24 0.4× 5 396
Dov Katz United States 7 220 0.9× 173 1.2× 78 0.7× 68 0.8× 20 0.4× 10 329
Daniel Sidobre France 11 319 1.3× 199 1.4× 92 0.8× 52 0.6× 28 0.5× 28 428
Akshara Rai United States 12 222 0.9× 129 0.9× 156 1.4× 120 1.5× 16 0.3× 23 378
Jacob Varley United States 5 216 0.9× 114 0.8× 144 1.3× 59 0.7× 26 0.5× 7 340
Danny Driess Germany 12 178 0.7× 147 1.0× 74 0.7× 99 1.2× 58 1.0× 20 370
Brian Hou United States 6 226 0.9× 82 0.6× 125 1.1× 62 0.8× 18 0.3× 13 288

Countries citing papers authored by Yuzhe Qin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Wang, Keyi, Ruihan Yang, Jiyue Zhu, et al.. (2025). Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation.
3.
Qin, Yuzhe, et al.. (2024). DexTouch: Learning to Seek and Manipulate Objects With Tactile Dexterity. IEEE Robotics and Automation Letters. 9(12). 10772–10779. 5 indexed citations
4.
Wang, Jun, et al.. (2024). CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation. 17952–17963. 7 indexed citations
5.
Yuan, Ying, et al.. (2024). Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing. 6558–6565. 21 indexed citations
6.
Qin, Yuzhe, et al.. (2024). Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning. 9234–9241. 2 indexed citations
7.
Zhu, Zehao, Jiashun Wang, Yuzhe Qin, et al.. (2024). ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation. 201–212. 5 indexed citations
8.
Wang, Luobin, et al.. (2023). A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction. 1–8. 7 indexed citations
9.
Wang, Jiashun, et al.. (2023). Learning Continuous Grasping Function With a Dexterous Hand From Human Demonstrations. IEEE Robotics and Automation Letters. 8(5). 2882–2889. 28 indexed citations
10.
Xu, Helin, et al.. (2023). DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects. 21190–21200. 19 indexed citations
11.
Xie, Pengwei, et al.. (2023). Part-Guided 3D RL for Sim2Real Articulated Object Manipulation. IEEE Robotics and Automation Letters. 8(11). 7178–7185. 3 indexed citations
12.
Chen, Linghao, et al.. (2023). EasyHeC: Accurate and Automatic Hand-Eye Calibration Via Differentiable Rendering and Space Exploration. IEEE Robotics and Automation Letters. 8(11). 7234–7241. 9 indexed citations
13.
Zhang, Xiaoshuai, Rui Chen, Fanbo Xiang, et al.. (2023). Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation. IEEE Transactions on Robotics. 39(3). 2429–2447. 11 indexed citations
14.
Qin, Yuzhe, Karl Van Wyk, Hao Su, et al.. (2023). AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System. 35 indexed citations
15.
Qin, Yuzhe, et al.. (2023). Rotating without Seeing: Towards In-hand Dexterity through Touch. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 54 indexed citations
16.
Qin, Yuzhe, et al.. (2022). From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation From Single-Camera Teleoperation. IEEE Robotics and Automation Letters. 7(4). 10873–10881. 58 indexed citations
17.
Liu, Wei, Yuzhe Qin, Fanbo Xiang, et al.. (2021). OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation. IEEE Robotics and Automation Letters. 7(1). 486–493. 33 indexed citations
18.
Wang, He, Yuzhe Qin, Yueqi Duan, et al.. (2021). CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13189–13198. 65 indexed citations
19.
Qin, Yuzhe, Rui Chen, Hao Zhu, et al.. (2019). S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes.. arXiv (Cornell University). 53–65. 8 indexed citations
20.
Qureshi, Ahmed H., et al.. (2019). Composing Task-Agnostic Policies with Deep Reinforcement Learning. arXiv (Cornell University). 6 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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