Cheol-Gyun Lee
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Computational Theory and Mathematics top 5%
- Co-authors
- Hyun‐Kyo JungJang-Ho SeoDong-Hyeok ChoHyun-Kyo JungChang‐Hwan ImSang‐Yong JungJaekwang KimJong-Wook Kim
- Topics
- Electric Motor Design and Analysis (17 papers)Magnetic Bearings and Levitation Dynamics (8 papers)Magnetic Properties and Applications (6 papers)
- Journals
- IEEE Transactions on Industry ApplicationsIEEE Transactions on MagneticsJournal of Electrical Engineering and Technology
- Partner nations
- South Korea
In The Last Decade
Cheol-Gyun Lee
23 papers receiving 524 citations
Peers
Comparison fields: 5 of 60
- Electrical and Electronic Engineering 304
- Control and Systems Engineering 176
- Artificial Intelligence 170
- Mechanical Engineering 126
- Computational Theory and Mathematics 109
Countries citing papers authored by Cheol-Gyun Lee
This map shows the geographic impact of Cheol-Gyun Lee'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 Cheol-Gyun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheol-Gyun Lee more than expected).
Fields of papers citing papers by Cheol-Gyun Lee
This network shows the impact of papers produced by Cheol-Gyun Lee. 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 Cheol-Gyun Lee. The network helps show where Cheol-Gyun Lee may publish in the future.
Co-authorship network of co-authors of Cheol-Gyun Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Cheol-Gyun Lee. A scholar is included among the top collaborators of Cheol-Gyun Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheol-Gyun Lee. Cheol-Gyun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 29 | |
| 8 | 43 | |
| 9 | Harmonic Iron Loss Analysis of Permanent Magnet Motor for High-Speed Train | 1 |
| 10 | 30 | |
| 11 | 4 | |
| 12 | Optimal design of outer rotor permanent magnet machine using improved particle swarm optimization | 1 |
| 13 | 14 | |
| 14 | Aerodynamic characteristics of a vertical axis wind turbine blade | 1 |
| 15 | 153 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 54 | |
| 19 | 56 | |
| 20 | 15 |
About Cheol-Gyun Lee
Cheol-Gyun Lee is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 26 papers that have together received 555 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (17 papers), Magnetic Bearings and Levitation Dynamics (8 papers) and Magnetic Properties and Applications (6 papers). The work is most often cited by research in Control and Systems Engineering (176 citations), Computational Theory and Mathematics (109 citations) and Artificial Intelligence (170 citations). Cheol-Gyun Lee has collaborated with scholars based in South Korea. Frequent co-authors include Hyun‐Kyo Jung, Jang-Ho Seo, Dong-Hyeok Cho, Hyun-Kyo Jung, Chang‐Hwan Im, Sang‐Yong Jung, Jaekwang Kim, Jong-Wook Kim, Tae-Kyung Chung and Youngjun Ahn. Their work appears in journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Magnetics and Journal of Electrical Engineering and Technology.
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.