Cheol-Gyun Lee

32 total papers · 712 total citations
26 papers, 554 citations indexed

About

Cheol-Gyun Lee is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Cheol-Gyun Lee has authored 26 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 11 papers in Control and Systems Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Cheol-Gyun Lee's work include Electric Motor Design and Analysis (17 papers), Magnetic Bearings and Levitation Dynamics (8 papers) and Magnetic Properties and Applications (6 papers). Cheol-Gyun Lee is often cited by papers focused on Electric Motor Design and Analysis (17 papers), Magnetic Bearings and Levitation Dynamics (8 papers) and Magnetic Properties and Applications (6 papers). Cheol-Gyun Lee collaborates with scholars based in South Korea. Cheol-Gyun Lee's co-authors include Jang-Ho Seo, Hyun‐Kyo Jung, Dong-Hyeok Cho, Hyun-Kyo Jung, Chang‐Hwan Im, Sang‐Yong Jung, Jaekwang Kim, Jong-Wook Kim, Tae-Kyung Chung and Youngjun Ahn and has published in prestigious journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Magnetics and Journal of Electrical Engineering and Technology.

In The Last Decade

Cheol-Gyun Lee

23 papers receiving 524 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Cheol-Gyun Lee	304	176	170	126	109	26	554
Luiz Lebensztajn	376 1.2×	162 0.9×	171 1.0×	152 1.2×	207 1.9×	33	689
Gérard Berthiau	210 0.7×	69 0.4×	127 0.7×	212 1.7×	94 0.9×	38	699
S. Brisset	455 1.5×	196 1.1×	71 0.4×	160 1.3×	106 1.0×	58	669
Tamás Orosz	321 1.1×	97 0.6×	62 0.4×	186 1.5×	39 0.4×	47	551
Yunlang Xu	115 0.4×	242 1.4×	194 1.1×	83 0.7×	108 1.0×	36	523
Bernhard Brandstätter	304 1.0×	64 0.4×	126 0.7×	145 1.2×	105 1.0×	46	569
Jiaping Yang	137 0.5×	95 0.5×	58 0.3×	182 1.4×	99 0.9×	53	606
Lei Ma	200 0.7×	389 2.2×	85 0.5×	62 0.5×	42 0.4×	67	657
Yundi Chu	279 0.9×	462 2.6×	110 0.6×	70 0.6×	58 0.5×	20	675
Chuanqiang Lian	227 0.7×	320 1.8×	145 0.9×	87 0.7×	209 1.9×	25	570

Countries citing papers authored by Cheol-Gyun Lee

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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