Yiming Wan
Impact in
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- Fault Detection and Control Systems
- Control Systems and Identification
- Advanced Control Systems Optimization
- Machine Fault Diagnosis Techniques
- Stability and Control of Uncertain Systems
Papers in
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- Fault Detection and Control Systems 39
- Control Systems and Identification 28
- Advanced Control Systems Optimization 10
- Machine Fault Diagnosis Techniques 6
- Stability and Control of Uncertain Systems 6
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- Probabilistic and Robust Engineering Design 10
- Co-authors
- Hao YeTamás KeviczkyMichel VerhaegenRichard D. BraatzKai JiangZhuo WangFredrik GustafssonLaura Ferranti
- Journals
- International Journal of Robust and Nonlinear Control (5 papers)Journal of Process Control (3 papers)IEEE Transactions on Automatic Control (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Automatica (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yiming Wan
68 papers receiving 674 citations
Peers
Comparison fields: 5 of 124
- Control and Systems Engineering 329
- Statistics, Probability and Uncertainty 65
- Automotive Engineering 97
- Biological Psychiatry 10
- Artificial Intelligence 83
Countries citing papers authored by Yiming Wan
This map shows the geographic impact of Yiming Wan'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 Yiming Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiming Wan more than expected).
Fields of papers citing papers by Yiming Wan
This network shows the impact of papers produced by Yiming Wan. 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 Yiming Wan. The network helps show where Yiming Wan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yiming Wan, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 35 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 17 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 36 | |
| 18 | 2020 | 0 | |
| 19 | 2020 | 14 | |
| 20 | 2016 | 5 |
About Yiming Wan
Yiming Wan is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Automotive Engineering, Safety, Risk, Reliability and Quality and Biological Psychiatry, having authored 74 papers that have together received 686 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (39 papers), Control Systems and Identification (28 papers), Probabilistic and Robust Engineering Design (10 papers), Advanced Battery Technologies Research (10 papers), Advanced Control Systems Optimization (10 papers), Reliability and Maintenance Optimization (6 papers), Machine Fault Diagnosis Techniques (6 papers) and Stability and Control of Uncertain Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (329 citations), Statistics, Probability and Uncertainty (65 citations), Automotive Engineering (97 citations), Biological Psychiatry (10 citations) and Artificial Intelligence (83 citations). Yiming Wan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Hao Ye, Tamás Keviczky, Hao Ye, Michel Verhaegen, Richard D. Braatz, Kai Jiang, Zhuo Wang, Fredrik Gustafsson, Laura Ferranti and Benben Jiang. Their work appears in journals such as International Journal of Robust and Nonlinear Control, Journal of Process Control, IEEE Transactions on Automatic Control, IEEE Transactions on Instrumentation and Measurement and Automatica.
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.