Fu-Jen Chu
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
-
- Robot Manipulation and Learning
Papers in
-
- Gaze Tracking and Assistive Technology 2
- Hand Gesture Recognition Systems 2
-
- Robot Manipulation and Learning 7
- Co-authors
- Patricio Antonio Vela (8 shared papers)Ruinian Xu (7 shared papers)Chao Tang (2 shared papers)Pin‐Yu Chen (2 shared papers)Weiyu Liu (1 shared paper)Cheng Shin-Ming (2 shared papers)Yunzhi Lin (1 shared paper)Paishun Ting (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (4 papers)International Journal of Computer Vision (1 paper)The International Journal of Robotics Research (1 paper)IEEE Communications Magazine (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Fu-Jen Chu
16 papers receiving 647 citations
Fu-Jen Chu's Hit Papers
Peers
Comparison fields: 5 of 63
- Human-Computer Interaction 159
- Control and Systems Engineering 455
- Computer Vision and Pattern Recognition 240
- Computer Science Applications 33
- Biomedical Engineering 232
Countries citing papers authored by Fu-Jen Chu
This map shows the geographic impact of Fu-Jen Chu'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 Fu-Jen Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu-Jen Chu more than expected).
Fields of papers citing papers by Fu-Jen Chu
This network shows the impact of papers produced by Fu-Jen Chu. 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 Fu-Jen Chu. The network helps show where Fu-Jen Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fu-Jen Chu, 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 | Real-World Multiobject, Multigrasp Detection Hit paper breakdown → | 2018 | 336 |
| 2 | Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives Hit paper breakdown → | 2024 | 67 |
| 3 | 2019 | 44 | |
| 4 | 2021 | 39 | |
| 5 | 2022 | 37 | |
| 6 | 2015 | 37 | |
| 7 | 2020 | 33 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 20 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2015 | 4 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 |
About Fu-Jen Chu
Fu-Jen Chu is a scholar working on Human-Computer Interaction, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 17 papers that have together received 661 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Human Pose and Action Recognition (4 papers), Soft Robotics and Applications (3 papers), Gaze Tracking and Assistive Technology (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Teleoperation and Haptic Systems (2 papers), Hand Gesture Recognition Systems (2 papers) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (159 citations), Control and Systems Engineering (455 citations), Computer Vision and Pattern Recognition (240 citations), Computer Science Applications (33 citations) and Biomedical Engineering (232 citations). Fu-Jen Chu has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Patricio Antonio Vela, Ruinian Xu, Chao Tang, Pin‐Yu Chen, Weiyu Liu, Cheng Shin-Ming, Yunzhi Lin, Paishun Ting, Maysam Ghovanloo and Xitong Yang. Their work appears in journals such as IEEE Robotics and Automation Letters, International Journal of Computer Vision, The International Journal of Robotics Research, IEEE Communications Magazine and Lecture notes in computer science.
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.