Fu-Jen Chu
- Control and Systems Engineering top 2%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Co-authors
- Patricio A. VelaRuinian XuPaishun TingYunzhi LinPin‐Yu ChenShin‐Ming ChengWeiyu LiuMaysam Ghovanloo
- Topics
- Robot Manipulation and Learning (7 papers)Soft Robotics and Applications (3 papers)Gaze Tracking and Assistive Technology (2 papers)
- Cited by
- Human-Computer InteractionControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Communications MagazineThe International Journal of Robotics ResearchIEEE Robotics and Automation Letters
- Partner nations
- United StatesTaiwan
In The Last Decade
Fu-Jen Chu
10 papers receiving 499 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Control and Systems Engineering 397
- Biomedical Engineering 212
- Computer Vision and Pattern Recognition 169
- Human-Computer Interaction 143
- Artificial Intelligence 103
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-authorship network of co-authors of Fu-Jen Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Fu-Jen Chu. A scholar is included among the top collaborators of Fu-Jen Chu 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 Fu-Jen Chu. Fu-Jen Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 34 | |
| 3 | 31 | |
| 4 | 23 | |
| 5 | 35 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | Real-World Multiobject, Multigrasp Detectionbreakdown → | 294 |
| 9 | 34 | |
| 10 | 4 |
About Fu-Jen Chu
Fu-Jen Chu is a scholar working on Human-Computer Interaction, Computer Science Applications and Control and Systems Engineering, having authored 10 papers that have together received 509 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Soft Robotics and Applications (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Human-Computer Interaction (143 citations), Control and Systems Engineering (397 citations) and Computer Vision and Pattern Recognition (169 citations). Fu-Jen Chu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Patricio A. Vela, Ruinian Xu, Paishun Ting, Yunzhi Lin, Pin‐Yu Chen, Shin‐Ming Cheng, Weiyu Liu and Maysam Ghovanloo. Their work appears in journals such as IEEE Communications Magazine, The International Journal of Robotics Research and IEEE Robotics and Automation Letters.
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.