Yang Guan
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
-
- Traffic control and management
- Magnetic Bearings and Levitation Dynamics
Papers in
-
- HVDC Systems and Fault Protection 5
- Electric Motor Design and Analysis 4
-
- Traffic control and management 7
- Advanced Control Systems Optimization 3
- Co-authors
- Shengbo Eben Li (15 shared papers)Jingliang Duan (10 shared papers)Bo Cheng (5 shared papers)Qi Sun (6 shared papers)Yangang Ren (9 shared papers)William F. Gale (6 shared papers)Jean‐Claude Mipo (2 shared papers)I. A. A. Afinowi (2 shared papers)
- Journals
- IEEE Transactions on Applied Superconductivity (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Materials Science and Technology (2 papers)Journal of Materials Science (2 papers)IET Intelligent Transport Systems (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yang Guan
44 papers receiving 822 citations
Peers
Comparison fields: 5 of 96
- Automotive Engineering 245
- Control and Systems Engineering 285
- Artificial Intelligence 203
- General Materials Science 17
- Computer Vision and Pattern Recognition 110
Countries citing papers authored by Yang Guan
This map shows the geographic impact of Yang Guan'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 Yang Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Guan more than expected).
Fields of papers citing papers by Yang Guan
This network shows the impact of papers produced by Yang Guan. 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 Yang Guan. The network helps show where Yang Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Guan, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 164 | |
| 2 | 2020 | 136 | |
| 3 | 2023 | 53 | |
| 4 | 2015 | 45 | |
| 5 | 2011 | 33 | |
| 6 | 2021 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2024 | 23 | |
| 10 | 2008 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 1996 | 19 | |
| 13 | 2016 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2017 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2024 | 15 | |
| 18 | 1997 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2017 | 12 |
About Yang Guan
Yang Guan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering and Automotive Engineering, having authored 50 papers that have together received 849 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (11 papers), Autonomous Vehicle Technology and Safety (8 papers), Traffic control and management (7 papers), Intermetallics and Advanced Alloy Properties (6 papers), HVDC Systems and Fault Protection (5 papers), Electric Motor Design and Analysis (4 papers), Adaptive Dynamic Programming Control (4 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Automotive Engineering (245 citations), Control and Systems Engineering (285 citations), Artificial Intelligence (203 citations), General Materials Science (17 citations) and Computer Vision and Pattern Recognition (110 citations). Yang Guan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengbo Eben Li, Jingliang Duan, Bo Cheng, Qi Sun, Yangang Ren, William F. Gale, Jean‐Claude Mipo, I. A. A. Afinowi, Z. Q. Zhu and Chien-Chung Shen. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, IEEE Transactions on Neural Networks and Learning Systems, Materials Science and Technology, Journal of Materials Science and IET Intelligent Transport 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.