Lei Yuan
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- Adaptive Control of Nonlinear Systems 4
- Iterative Learning Control Systems 4
- Advanced Sensor and Control Systems 4
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- Sensorless Control of Electric Motors 7
- Multilevel Inverters and Converters 6
- Electric Motor Design and Analysis 5
- Aerospace Engineering top 10%
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- Railway Systems and Energy Efficiency 5
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- Model Reduction and Neural Networks 4
- Co-authors
- A. MullaneR. YacaminiGordon LightbodyFei XiaoMingliang ChenYi‐Qing NiWen ZhangYifan Liu
In The Last Decade
Lei Yuan
67 papers receiving 960 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Control and Systems Engineering 475
- Energy Engineering and Power Technology 56
- Electrical and Electronic Engineering 683
- Aerospace Engineering 143
- Industrial and Manufacturing Engineering 32
Countries citing papers authored by Lei Yuan
This map shows the geographic impact of Lei Yuan'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 Lei Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Yuan more than expected).
Fields of papers citing papers by Lei Yuan
This network shows the impact of papers produced by Lei Yuan. 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 Lei Yuan. The network helps show where Lei Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lei Yuan, 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 | 12 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 21 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 23 | |
| 15 | 2020 | 8 | |
| 16 | 2013 | 3 | |
| 17 | Bootloader study and implementation of embedded system based on PXA270 | 2009 | 0 |
| 18 | Construction of Recurrent Neural Network Model for Relationship between Specific Performance and Physical Fitness of Top High Jumpers in the World | 2008 | 2 |
| 19 | Tele-service system supporting product lifecycle Services | 2005 | 0 |
| 20 | STUDY ON THE APPLICATION OF BACK PROPAGATION NEURAL NETWORK TO CONFECT HIGH STRENGTH CONCRETE | 2001 | 1 |
About Lei Yuan
Lei Yuan is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Transportation, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sensorless Control of Electric Motors (7 papers), Multilevel Inverters and Converters (6 papers), Railway Systems and Energy Efficiency (5 papers), Electric Motor Design and Analysis (5 papers), Adaptive Control of Nonlinear Systems (4 papers), Model Reduction and Neural Networks (4 papers), Iterative Learning Control Systems (4 papers) and Advanced Sensor and Control Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (475 citations), Energy Engineering and Power Technology (56 citations) and Electrical and Electronic Engineering (683 citations). Lei Yuan has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include A. Mullane, R. Yacamini, Gordon Lightbody, Fei Xiao, Mingliang Chen, Yi‐Qing Ni, Wen Zhang, Yifan Liu, Xuechao Xu and Xiaobo Zou. Their work appears in journals such as Journal of Hazardous Materials, Carbon and Food Chemistry.
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.