Gan Yu
Impact in
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- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
- Stability and Control of Uncertain Systems
- Dynamics and Control of Mechanical Systems
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- Distributed Control Multi-Agent Systems
Papers in
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- Adaptive Control of Nonlinear Systems 15
- Control and Dynamics of Mobile Robots 8
- Dynamics and Control of Mechanical Systems 4
- Stability and Control of Uncertain Systems 3
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- Distributed Control Multi-Agent Systems 5
- Co-authors
- Carlos Silvestre (18 shared papers)David Cabecinhas (9 shared papers)Rita Cunha (7 shared papers)Joel Reis (6 shared papers)Wei Xie (8 shared papers)Weidong Zhang (5 shared papers)Pak Kin Wong (1 shared paper)Weiming Yang (2 shared papers)
In The Last Decade
Gan Yu
17 papers receiving 305 citations
Peers
Comparison fields: 5 of 22
- Control and Systems Engineering 271
- Computer Networks and Communications 86
- Aerospace Engineering 89
- Computer Vision and Pattern Recognition 52
- Computational Theory and Mathematics 35
Countries citing papers authored by Gan Yu
This map shows the geographic impact of Gan Yu'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 Gan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gan Yu more than expected).
Fields of papers citing papers by Gan Yu
This network shows the impact of papers produced by Gan Yu. 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 Gan Yu. The network helps show where Gan Yu may publish in the future.
Co-authors
The 11 scholars most cited alongside Gan Yu, 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 | 2019 | 112 | |
| 2 | 2022 | 25 | |
| 3 | 2023 | 25 | |
| 4 | 2020 | 23 | |
| 5 | 2023 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2023 | 15 | |
| 8 | 2019 | 15 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2025 | 1 |
About Gan Yu
Gan Yu is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Computational Theory and Mathematics, Mechanical Engineering and Automotive Engineering, having authored 18 papers that have together received 310 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (15 papers), Control and Dynamics of Mobile Robots (8 papers), Distributed Control Multi-Agent Systems (5 papers), Dynamics and Control of Mechanical Systems (4 papers), Stability and Control of Uncertain Systems (3 papers), Vehicle Dynamics and Control Systems (2 papers), Adaptive Dynamic Programming Control (2 papers) and Guidance and Control Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (271 citations), Computer Networks and Communications (86 citations), Aerospace Engineering (89 citations), Computer Vision and Pattern Recognition (52 citations) and Computational Theory and Mathematics (35 citations). Gan Yu has collaborated with scholars based in Macao, Portugal and China. Frequent co-authors include Carlos Silvestre, David Cabecinhas, Rita Cunha, Joel Reis, Wei Xie, Weidong Zhang, Pak Kin Wong, Weiming Yang, Jianan Li and Wei He. Their work appears in journals such as Control Engineering Practice, IEEE Robotics and Automation Letters, International Journal of Robust and Nonlinear Control, Automatica and Autonomous Robots.
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.