Jae‐Chul Kim

2.5k citations
206 papers · 1.9k · h-index 23

Impact in

Papers in

Jae‐Chul Kim

160 papers receiving 1.8k citations

Peers

Jae‐Chul Kim
Comparison fields: 5 of 121
  • Control and Systems Engineering 906
  • Electrical and Electronic Engineering 1.4k
  • Safety, Risk, Reliability and Quality 194
  • Energy Engineering and Power Technology 49
  • Obstetrics and Gynecology 65
Replace Yanbo Chen with:
Yanbo Chen China
Ke‐Jun Li China
Yi Tang China
Armin Schnettler Germany
Zhou Liu China
Youngsun Hong South Korea
Zhenhua Jiang China
Kai Yang China
Cheng Wang China
Jae‐Chul Kim relative to Yanbo Chen China Yanbo Chen's profile →
Citations per field
00.5×10×20×32.5×
Yanbo Chen · 1×
Citations per year

Countries citing papers authored by Jae‐Chul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Chul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Chul Kim. 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 Jae‐Chul Kim. The network helps show where Jae‐Chul Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jae‐Chul Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jae‐Chul Kim Line = papers co-authored together Jae‐Chul Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002225
2 2001152
3 201373
4 201064
5 200260
6 200358
7 200343
8 202242
9 201041
10 201041
11 201140
12 200039
13 201438
14 202137
15 200631
16 200330
17 202027
18 201027
19 202024
20 201623

About Jae‐Chul Kim

Jae‐Chul Kim is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Computer Networks and Communications, having authored 206 papers that have together received 1.9k indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (47 papers), High-Voltage Power Transmission Systems (35 papers), Engineering Applied Research (29 papers), Optimal Power Flow Distribution (24 papers), Power System Reliability and Maintenance (22 papers), Power Systems Fault Detection (20 papers), Microgrid Control and Optimization (18 papers) and Power Systems and Technologies (16 papers). The work is most often cited by research in Control and Systems Engineering (906 citations), Electrical and Electronic Engineering (1.4k citations), Safety, Risk, Reliability and Quality (194 citations), Energy Engineering and Power Technology (49 citations) and Obstetrics and Gynecology (65 citations). Jae‐Chul Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Joon‐Ho Choi, Sung-Hun Lim, Sung-Min Cho, Sang-Yun Yun, Jin‐O Kim, K.Y. Lee, Joong-Rin Shin, Young‐Jae Jeon, Shin-Hyung Park and Ok-Bae Hyun. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Energies, IEEE Transactions on Power Delivery, Engineering Failure Analysis and International Journal of Electrical Power & Energy Systems.

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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