Fu-Jen Chu
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
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- Robot Manipulation and Learning
Papers in
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- Robot Manipulation and Learning 7
- Co-authors
- Patricio A. Vela (8 shared papers)Ruinian Xu (7 shared papers)Chao Tang (2 shared papers)Yunzhi Lin (1 shared paper)Pin‐Yu Chen (2 shared papers)Shin‐Ming Cheng (2 shared papers)Paishun Ting (2 shared papers)Weiyu Liu (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (4 papers)IEEE Communications Magazine (1 paper)The International Journal of Robotics Research (1 paper)PubMed (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Fu-Jen Chu
14 papers receiving 522 citations
Fu-Jen Chu's Hit Papers
Peers
Comparison fields: 5 of 53
- Human-Computer Interaction 145
- Control and Systems Engineering 408
- Computer Vision and Pattern Recognition 180
- Computer Science Applications 32
- Biomedical Engineering 214
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 | 301 |
| 2 | 2019 | 37 | |
| 3 | 2021 | 36 | |
| 4 | 2015 | 35 | |
| 5 | 2022 | 34 | |
| 6 | 2020 | 31 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 17 | |
| 9 | 2018 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2015 | 4 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 |
About Fu-Jen Chu
Fu-Jen Chu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Human-Computer Interaction, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 14 papers that have together received 533 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Soft Robotics and Applications (3 papers), Human Pose and Action Recognition (3 papers), Hand Gesture Recognition Systems (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Teleoperation and Haptic Systems (2 papers), Gaze Tracking and Assistive Technology (2 papers) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (145 citations), Control and Systems Engineering (408 citations), Computer Vision and Pattern Recognition (180 citations), Computer Science Applications (32 citations) and Biomedical Engineering (214 citations). Fu-Jen Chu has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Patricio A. Vela, Ruinian Xu, Chao Tang, Yunzhi Lin, Pin‐Yu Chen, Shin‐Ming Cheng, Paishun Ting, Weiyu Liu, Maysam Ghovanloo and Ji Hou. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Communications Magazine, The International Journal of Robotics Research, PubMed and arXiv (Cornell University).
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.