Yu Meng
Impact in
- Automotive Engineering top 2%
- Vehicle Dynamics and Control Systems
- Autonomous Vehicle Technology and Safety
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- Control and Dynamics of Mobile Robots
- Real-time simulation and control systems
Papers in
-
- Vehicle Dynamics and Control Systems 23
- Autonomous Vehicle Technology and Safety 8
- Electric and Hybrid Vehicle Technologies 8
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- Control and Dynamics of Mobile Robots 11
- Real-time simulation and control systems 8
- Co-authors
- Qing Gu (31 shared papers)Guoxing Bai (27 shared papers)Li Liu (24 shared papers)Weidong Luo (7 shared papers)Li Liu (6 shared papers)Kailun Li (6 shared papers)Guodong Wang (6 shared papers)Yue Chen (1 shared paper)
In The Last Decade
Yu Meng
76 papers receiving 764 citations
Peers
Comparison fields: 5 of 74
- Automotive Engineering 317
- Control and Systems Engineering 314
- Computer Vision and Pattern Recognition 208
- Mechanical Engineering 197
- Aerospace Engineering 86
Countries citing papers authored by Yu Meng
This map shows the geographic impact of Yu Meng'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 Yu Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Meng more than expected).
Fields of papers citing papers by Yu Meng
This network shows the impact of papers produced by Yu Meng. 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 Yu Meng. The network helps show where Yu Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Meng, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 61 | |
| 2 | 2019 | 54 | |
| 3 | 2019 | 54 | |
| 4 | 2019 | 49 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 40 | |
| 7 | 2018 | 27 | |
| 8 | 2024 | 25 | |
| 9 | 2022 | 25 | |
| 10 | 2019 | 23 | |
| 11 | 2002 | 21 | |
| 12 | 2022 | 18 | |
| 13 | 2023 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2018 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2025 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2024 | 12 | |
| 20 | 2019 | 12 |
About Yu Meng
Yu Meng is a scholar working on Automotive Engineering, Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 83 papers that have together received 781 indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (23 papers), Hydraulic and Pneumatic Systems (16 papers), Robotic Path Planning Algorithms (12 papers), Control and Dynamics of Mobile Robots (11 papers), Autonomous Vehicle Technology and Safety (8 papers), Electric and Hybrid Vehicle Technologies (8 papers), Real-time simulation and control systems (8 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Automotive Engineering (317 citations), Control and Systems Engineering (314 citations), Computer Vision and Pattern Recognition (208 citations), Mechanical Engineering (197 citations) and Aerospace Engineering (86 citations). Yu Meng has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Qing Gu, Guoxing Bai, Li Liu, Weidong Luo, Li Liu, Kailun Li, Guodong Wang, Yue Chen, Han Wang and Hewu Wang. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Applied Sciences, Electronics, IEEE Access 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.