Shiyou Yang
Impact in
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- Magnetic Bearings and Levitation Dynamics
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- Electric Motor Design and Analysis
- Multilevel Inverters and Converters
- Sensorless Control of Electric Motors
Papers in
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- Advanced Multi-Objective Optimization Algorithms 50
Shiyou Yang
154 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 106
- Control and Systems Engineering 671
- Electrical and Electronic Engineering 1.3k
- Computational Theory and Mathematics 281
- Electronic, Optical and Magnetic Materials 278
- Artificial Intelligence 362
Countries citing papers authored by Shiyou Yang
This map shows the geographic impact of Shiyou Yang'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 Shiyou Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiyou Yang more than expected).
Fields of papers citing papers by Shiyou Yang
This network shows the impact of papers produced by Shiyou Yang. 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 Shiyou Yang. The network helps show where Shiyou Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiyou Yang, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 14 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 17 | |
| 16 | 2015 | 128 | |
| 17 | 2014 | 4 | |
| 18 | A robust-oriented Particle Swarm Optimization algorithm for inverse problems | 2008 | 1 |
| 19 | A numerical conformal transformation for investigating slot effects of high speed brushless PM motors | 2008 | 4 |
| 20 | An improved population-based incremental learning method for inverse problems | 2008 | 9 |
About Shiyou Yang
Shiyou Yang is a scholar working on Computational Theory and Mathematics, Energy Engineering and Power Technology, Civil and Structural Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 173 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (50 papers), Metaheuristic Optimization Algorithms Research (38 papers), Topology Optimization in Engineering (26 papers), Electric Motor Design and Analysis (18 papers), Energy Harvesting in Wireless Networks (13 papers), Evolutionary Algorithms and Applications (12 papers), Antenna Design and Analysis (11 papers) and Magnetic Properties and Applications (10 papers). The work is most often cited by research in Control and Systems Engineering (671 citations), Electrical and Electronic Engineering (1.3k citations), Computational Theory and Mathematics (281 citations), Electronic, Optical and Magnetic Materials (278 citations) and Artificial Intelligence (362 citations). Shiyou Yang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include S. L. Ho, Jianhua Wu, Chun Gan, Yihua Hu, Heung Wong, Wenping Cao, Guangzheng Ni, E.W.C. Lo, Lei Shen and Obaid Ur Rehman. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Access, Sustainability, Energies and IEEE Transactions on Power Electronics.
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.