Jin Hwan Lee
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Electronic, Optical and Magnetic Materials
- Artificial Intelligence
- Co-authors
- Yong-Jae KimJun-Young SongJong-Wook KimDae-Woo KimSang‐Yong JungSang-Yong JungSangyong JungKyungsoo Park
- Topics
- Electric Motor Design and Analysis (15 papers)Magnetic Bearings and Levitation Dynamics (11 papers)Metaheuristic Optimization Algorithms Research (4 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringElectronic, Optical and Magnetic Materials
- Partner nations
- South Korea
In The Last Decade
Jin Hwan Lee
13 papers receiving 354 citations
Peers
Comparison fields: 5 of 41
- Electrical and Electronic Engineering 280
- Control and Systems Engineering 179
- Mechanical Engineering 114
- Electronic, Optical and Magnetic Materials 81
- Artificial Intelligence 34
Countries citing papers authored by Jin Hwan Lee
This map shows the geographic impact of Jin Hwan 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 Jin Hwan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Hwan Lee more than expected).
Fields of papers citing papers by Jin Hwan Lee
This network shows the impact of papers produced by Jin Hwan 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 Jin Hwan Lee. The network helps show where Jin Hwan Lee may publish in the future.
Co-authorship network of co-authors of Jin Hwan Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Hwan Lee. A scholar is included among the top collaborators of Jin Hwan 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 Jin Hwan Lee. Jin Hwan 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 42 | |
| 7 | 15 | |
| 8 | 25 | |
| 9 | 22 | |
| 10 | 115 | |
| 11 | A novel torque ripple reduction method for IPMSM using asymmetric notch lamination design | 5 |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | 68 | |
| 16 | 36 | |
| 17 | 1 |
About Jin Hwan Lee
Jin Hwan Lee is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 17 papers that have together received 358 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (15 papers), Magnetic Bearings and Levitation Dynamics (11 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Control and Systems Engineering (179 citations), Electrical and Electronic Engineering (280 citations) and Electronic, Optical and Magnetic Materials (81 citations). Jin Hwan Lee has collaborated with scholars based in South Korea. Frequent co-authors include Yong-Jae Kim, Jun-Young Song, Jong-Wook Kim, Dae-Woo Kim, Sang‐Yong Jung, Sang-Yong Jung, Sangyong Jung, Kyungsoo Park, Dong–Kuk Lim and Nam Ho Kim. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Magnetics.
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.