Feel‐soon Kang

131 total papers · 1.5k total citations
96 papers, 1.2k citations indexed

About

Feel‐soon Kang is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Feel‐soon Kang has authored 96 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Electrical and Electronic Engineering, 19 papers in Automotive Engineering and 18 papers in Control and Systems Engineering. Recurrent topics in Feel‐soon Kang's work include Advanced DC-DC Converters (48 papers), Multilevel Inverters and Converters (43 papers) and Silicon Carbide Semiconductor Technologies (37 papers). Feel‐soon Kang is often cited by papers focused on Advanced DC-DC Converters (48 papers), Multilevel Inverters and Converters (43 papers) and Silicon Carbide Semiconductor Technologies (37 papers). Feel‐soon Kang collaborates with scholars based in South Korea, Japan and China. Feel‐soon Kang's co-authors include Sung‐Jun Park, Cheul-U Kim, Seonghye Kim, Man Hyung Lee, Jinsung Choi, Toshifumi Ise, Chae-Joo Moon, Jang-Mok Kim, Yeun-Ho Joung and Jin‐Soo Park and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Applied Energy and IEEE Transactions on Power Electronics.

In The Last Decade

Feel‐soon Kang

88 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Feel‐soon Kang 1.1k 350 218 131 43 96 1.2k
S. De 741 0.7× 260 0.7× 191 0.9× 93 0.7× 76 1.8× 94 923
Yanchao Ji 924 0.8× 392 1.1× 128 0.6× 97 0.7× 44 1.0× 72 961
Naga Brahmendra Yadav Gorla 928 0.8× 357 1.0× 170 0.8× 101 0.8× 50 1.2× 72 983
Younghoon Cho 1.3k 1.1× 559 1.6× 149 0.7× 175 1.3× 88 2.0× 115 1.4k
Luciano Schuch 1.3k 1.1× 510 1.5× 369 1.7× 205 1.6× 58 1.3× 83 1.4k
Sajib Chakraborty 757 0.7× 175 0.5× 507 2.3× 97 0.7× 51 1.2× 77 984
Jonathan C. Mayo‐Maldonado 1.2k 1.0× 545 1.6× 419 1.9× 131 1.0× 80 1.9× 102 1.3k
S.H. Hosseini 1.3k 1.1× 411 1.2× 145 0.7× 53 0.4× 65 1.5× 84 1.4k
Sung-Yeul Park 909 0.8× 468 1.3× 444 2.0× 101 0.8× 39 0.9× 82 1.0k
Syed Rahman 1.1k 0.9× 408 1.2× 339 1.6× 141 1.1× 44 1.0× 71 1.2k

Countries citing papers authored by Feel‐soon Kang

Since Specialization
Citations

This map shows the geographic impact of Feel‐soon Kang'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 Feel‐soon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feel‐soon Kang more than expected).

Fields of papers citing papers by Feel‐soon Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feel‐soon Kang. 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 Feel‐soon Kang. The network helps show where Feel‐soon Kang may publish in the future.

Co-authorship network of co-authors of Feel‐soon Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Feel‐soon Kang. A scholar is included among the top collaborators of Feel‐soon Kang 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 Feel‐soon Kang. Feel‐soon Kang 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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2026