Ming Yu
Impact in
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- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- Machine Fault Diagnosis Techniques
- Iterative Learning Control Systems
- Control and Dynamics of Mobile Robots
- Automotive Engineering top 2%
- Vehicle Dynamics and Control Systems
Papers in
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- Fault Detection and Control Systems 40
- Machine Fault Diagnosis Techniques 34
- Advanced Control Systems Optimization 12
- Iterative Learning Control Systems 9
- Adaptive Control of Nonlinear Systems 8
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- Hydraulic and Pneumatic Systems 11
- Co-authors
- Hai Wang (30 shared papers)Danwei Wang (23 shared papers)Zhihong Man (11 shared papers)Jinchuan Zheng (9 shared papers)Zhenwei Cao (6 shared papers)Huifang Kong (10 shared papers)Ming Luo (11 shared papers)Shai Arogeti (5 shared papers)
In The Last Decade
Ming Yu
83 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 84
- Control and Systems Engineering 1.2k
- Automotive Engineering 363
- Safety, Risk, Reliability and Quality 118
- Mechanical Engineering 397
- Statistics, Probability and Uncertainty 59
Countries citing papers authored by Ming Yu
This map shows the geographic impact of Ming 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 Ming Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yu more than expected).
Fields of papers citing papers by Ming Yu
This network shows the impact of papers produced by Ming 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 Ming Yu. The network helps show where Ming Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 157 | |
| 2 | 2016 | 154 | |
| 3 | 2020 | 109 | |
| 4 | 2020 | 90 | |
| 5 | 2012 | 75 | |
| 6 | 2018 | 72 | |
| 7 | 2021 | 64 | |
| 8 | 2013 | 59 | |
| 9 | 2013 | 56 | |
| 10 | 2013 | 56 | |
| 11 | 2020 | 53 | |
| 12 | 2019 | 45 | |
| 13 | 2016 | 41 | |
| 14 | 2010 | 39 | |
| 15 | 2016 | 31 | |
| 16 | 2018 | 30 | |
| 17 | 2020 | 28 | |
| 18 | 2014 | 26 | |
| 19 | 2019 | 25 | |
| 20 | 2016 | 22 |
About Ming Yu
Ming Yu is a scholar working on Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (40 papers), Machine Fault Diagnosis Techniques (34 papers), Advanced Control Systems Optimization (12 papers), Hydraulic and Pneumatic Systems (11 papers), Reliability and Maintenance Optimization (10 papers), Iterative Learning Control Systems (9 papers), Adaptive Control of Nonlinear Systems (8 papers) and Vehicle Dynamics and Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Automotive Engineering (363 citations), Safety, Risk, Reliability and Quality (118 citations), Mechanical Engineering (397 citations) and Statistics, Probability and Uncertainty (59 citations). Ming Yu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Hai Wang, Danwei Wang, Zhihong Man, Jinchuan Zheng, Zhenwei Cao, Huifang Kong, Ming Luo, Shai Arogeti, Canghua Jiang and Chang Boon Low. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Informatics, Neural Computing and Applications and IEEE Transactions on Automation Science and Engineering.
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.