Yu-Wei Chao

3.3k citations
29 papers · 1.3k · h-index 15

Impact in

Papers in

Yu-Wei Chao

28 papers receiving 1.3k citations

Peers

Yu-Wei Chao
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 997
  • Human-Computer Interaction 207
  • Control and Systems Engineering 391
  • Geology 68
  • Artificial Intelligence 319
Replace Abhinav Gupta with:
Abhinav Gupta United States
Alvaro Collet United States
Max Schwarz Germany
Jonathan Tremblay Canada
Hanbyul Joo South Korea
Pete Florence United States
Kuan Fang United States
Liuhao Ge Singapore
Aaron Walsman United States
Minghao Gou China
Yu-Wei Chao relative to Abhinav Gupta United States Abhinav Gupta's profile →
Citations per field
00.5×1.5×2.1×
Abhinav Gupta · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yu-Wei Chao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu-Wei Chao Line = papers co-authored together Yu-Wei Chao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018292
2 2015169
3 2021148
4 2020123
5 2013102
6 201282
7 201266
8 202152
9 201147
10 202335
11 201532
12 201432
13 202325
14 202225
15 202117
16 202213
17 202213
18 202411
19 20247
20 20206

About Yu-Wei Chao

Yu-Wei Chao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence and Human-Computer Interaction, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Human Pose and Action Recognition (8 papers), Robotics and Sensor-Based Localization (6 papers), Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Robotic Path Planning Algorithms (3 papers), Hand Gesture Recognition Systems (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (997 citations), Human-Computer Interaction (207 citations), Control and Systems Engineering (391 citations), Geology (68 citations) and Artificial Intelligence (319 citations). Yu-Wei Chao has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Jia Deng, Yunfan Liu, Dieter Fox, Silvio Savarese, Caroline Pantofaru, Wongun Choi, Jiaxuan Wang, Zhan Wang, Karl Van Wyk and Yu-Chiang Frank Wang. Their work appears in journals such as International Journal of Computer Vision, IEEE Robotics and Automation Letters, Pattern Recognition, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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