Jie Fu
Impact in
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
-
- Formal Methods in Verification 10
- Co-authors
- Çağdaş D. Önal (4 shared papers)Ming Luo (2 shared papers)Erik H. Skorina (2 shared papers)Ufuk Topcu (2 shared papers)Weijia Tao (1 shared paper)Fu‐Chen Chen (1 shared paper)Jing Xiao (1 shared paper)Yinan Sun (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Science China Information Sciences (1 paper)IEEE Transactions on Automatic Control (1 paper)IEEE Transactions on Automation Science and Engineering (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Jie Fu
30 papers receiving 284 citations
Peers
Comparison fields: 5 of 55
- Geology 19
- Control and Systems Engineering 68
- Software 12
- Aerospace Engineering 64
- Computational Theory and Mathematics 42
Countries citing papers authored by Jie Fu
This map shows the geographic impact of Jie Fu'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 Jie Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Fu more than expected).
Fields of papers citing papers by Jie Fu
This network shows the impact of papers produced by Jie Fu. 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 Jie Fu. The network helps show where Jie Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jie Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2022 | 38 | |
| 3 | 2021 | 28 | |
| 4 | 2022 | 22 | |
| 5 | 2020 | 20 | |
| 6 | 2015 | 17 | |
| 7 | 2014 | 14 | |
| 8 | 2024 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2016 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2023 | 3 |
About Jie Fu
Jie Fu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 43 papers that have together received 292 indexed citations. Recurring topics across this work include Formal Methods in Verification (10 papers), Information and Cyber Security (5 papers), Soft Robotics and Applications (4 papers), Smart Grid Security and Resilience (4 papers), Network Security and Intrusion Detection (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Human-Automation Interaction and Safety (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Geology (19 citations), Control and Systems Engineering (68 citations), Software (12 citations), Aerospace Engineering (64 citations) and Computational Theory and Mathematics (42 citations). Jie Fu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Çağdaş D. Önal, Ming Luo, Erik H. Skorina, Ufuk Topcu, Weijia Tao, Fu‐Chen Chen, Jing Xiao, Jing Xiao, Yinan Sun and Herbert G. Tanner. Their work appears in journals such as IEEE Robotics and Automation Letters, Science China Information Sciences, IEEE Transactions on Automatic Control, IEEE Transactions on Automation Science and Engineering and IEEE Transactions on Intelligent Transportation Systems.
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.