Yu-Wei Chao

3.3k total citations
29 papers, 1.3k citations indexed

About

Yu-Wei Chao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Yu-Wei Chao has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Control and Systems Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Yu-Wei Chao's work include Robot Manipulation and Learning (9 papers), Human Pose and Action Recognition (8 papers) and Multimodal Machine Learning Applications (6 papers). Yu-Wei Chao is often cited by papers focused on Robot Manipulation and Learning (9 papers), Human Pose and Action Recognition (8 papers) and Multimodal Machine Learning Applications (6 papers). Yu-Wei Chao collaborates with scholars based in United States, Taiwan and Switzerland. Yu-Wei Chao's co-authors include Jia Deng, Yunfan Liu, Dieter Fox, Silvio Savarese, Caroline Pantofaru, Zhan Wang, Wongun Choi, Jiaxuan Wang, Karl Van Wyk and Yi-Ren Yeh and has published in prestigious journals such as Pattern Recognition, International Journal of Computer Vision and IEEE Robotics and Automation Letters.

In The Last Decade

Yu-Wei Chao

28 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu-Wei Chao United States	15	997	391	319	207	155	29	1.3k
Abhinav Gupta United States	12	694 0.7×	687 1.8×	323 1.0×	118 0.6×	115 0.7×	27	1.4k
Alvaro Collet United States	15	1.1k 1.1×	609 1.6×	170 0.5×	106 0.5×	583 3.8×	15	1.5k
Pete Florence United States	12	574 0.6×	361 0.9×	254 0.8×	34 0.2×	279 1.8×	17	996
Max Schwarz Germany	15	457 0.5×	351 0.9×	92 0.3×	112 0.5×	294 1.9×	33	950
Aaron Walsman United States	5	439 0.4×	799 2.0×	188 0.6×	157 0.8×	224 1.4×	8	1.1k
Johannes A. Stork Sweden	16	432 0.4×	462 1.2×	272 0.9×	61 0.3×	120 0.8×	44	930
Jonathan Tremblay Canada	10	401 0.4×	276 0.7×	148 0.5×	114 0.6×	112 0.7×	24	624
Kuan Fang United States	9	493 0.5×	279 0.7×	188 0.6×	51 0.2×	130 0.8×	16	724
Walter Wohlkinger Austria	11	505 0.5×	219 0.6×	128 0.4×	65 0.3×	437 2.8×	15	959
Minghao Gou China	8	353 0.4×	507 1.3×	188 0.6×	136 0.7×	83 0.5×	12	783

Countries citing papers authored by Yu-Wei Chao

Since Specialization

Citations

This map shows the geographic impact of Yu-Wei Chao'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 Yu-Wei Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Wei Chao more than expected).

Fields of papers citing papers by Yu-Wei Chao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Wei Chao. 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 Yu-Wei Chao. The network helps show where Yu-Wei Chao may publish in the future.

Co-authorship network of co-authors of Yu-Wei Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Wei Chao. A scholar is included among the top collaborators of Yu-Wei Chao 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 Yu-Wei Chao. Yu-Wei Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wyk, Karl Van, et al.. (2025). Synthetica: Large Scale Synthetic Data Generation for Robot Perception. 7810–7817. 1 indexed citations

2.

Wang, Yanwei, Lirui Wang, Yilun Du, et al.. (2025). Inference-Time Policy Steering Through Human Interactions. 15626–15633.

3.

Lan, Feng, et al.. (2024). SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers. 3168–3175. 7 indexed citations

4.

Goyal, Ankit, et al.. (2024). RVT-2: Learning Precise Manipulation from Few Demonstrations. 11 indexed citations

5.

Chao, Yu-Wei, et al.. (2024). Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning. 2594–2601. 1 indexed citations

6.

Chao, Yu-Wei, et al.. (2024). SKT-Hang: Hanging Everyday Objects via Object-Agnostic Semantic Keypoint Trajectory Generation. 15433–15439. 1 indexed citations

7.

Yang, Wei, et al.. (2023). Learning Human-to-Robot Handovers from Point Clouds. 9654–9664. 25 indexed citations

8.

Qin, Yuzhe, Karl Van Wyk, Hao Su, et al.. (2023). AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System. 35 indexed citations

9.

Chao, Yu-Wei, et al.. (2023). FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments. 9140–9146. 4 indexed citations

10.

Paxton, Chris, et al.. (2022). Learning Perceptual Concepts by Bootstrapping From Human Queries. IEEE Robotics and Automation Letters. 7(4). 11260–11267. 5 indexed citations

11.

Yang, Wei, Balakumar Sundaralingam, Chris Paxton, et al.. (2022). Model Predictive Control for Fluid Human-to-Robot Handovers. 2022 International Conference on Robotics and Automation (ICRA). 13 indexed citations

12.

Chao, Yu-Wei, Chris Paxton, Xiang Yu, et al.. (2022). HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. 2022 International Conference on Robotics and Automation (ICRA). 6941–6947. 13 indexed citations

13.

Chao, Yu-Wei, Wei Yang, Xiang Yu, et al.. (2021). DexYCB: A Benchmark for Capturing Hand Grasping of Objects. 9040–9049. 148 indexed citations

14.

Paxton, Chris, et al.. (2021). Reactive Human-to-Robot Handovers of Arbitrary Objects. 3118–3124. 52 indexed citations

15.

Chao, Yu-Wei, et al.. (2021). Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. Proceedings of the AAAI Conference on Artificial Intelligence. 35(7). 5887–5895. 17 indexed citations

16.

Handa, Ankur, Karl Van Wyk, Jacky Liang, et al.. (2020). DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System. 9164–9170. 123 indexed citations

17.

Chao, Yu-Wei. (2019). Visual Recognition and Synthesis of Human-Object Interactions. Deep Blue (University of Michigan). 2 indexed citations

18.

Chao, Yu-Wei, et al.. (2018). Learning to Detect Human-Object Interactions. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 381–389. 292 indexed citations

19.

Chao, Yu-Wei, Zhan Wang, Rada Mihalcea, & Jia Deng. (2015). Mining semantic affordances of visual object categories. 4259–4267. 32 indexed citations

20.

Bao, Sid Yingze, et al.. (2012). Semantic structure from motion with points, regions, and objects. 2703–2710. 66 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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