Chun-Kwon Lee

493 citations
25 papers · 355 indexed · h-index 10

Impact in

Papers in

Chun-Kwon Lee

23 papers receiving 350 citations

Peers

Chun-Kwon Lee
Comparison fields: 5 of 41
  • Control and Systems Engineering 156
  • Electrical and Electronic Engineering 289
  • Civil and Structural Engineering 85
  • Health Informatics 3
  • Statistics, Probability and Uncertainty 15
Replace Seung Jin Chang with:
Seung Jin Chang South Korea
Moussa Kafal France
Levy Ely de Lacerda de Oliveira Brazil
Jonas Guedes Borges da Silva Brazil
Özcan Kalenderli Türkiye
Kun Yu China
Lane Maria Rabelo Baccarini Brazil
Jong-Ho Sun South Korea
Zhixiang Liu China
Bowen Jia China
Chun-Kwon Lee relative to Seung Jin Chang South Korea Seung Jin Chang's profile →
Citations per field
00.5×1.5×
Seung Jin Chang · 1×
Citations per year

Countries citing papers authored by Chun-Kwon Lee

Since Specialization
Citations

This map shows the geographic impact of Chun-Kwon 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 Chun-Kwon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Kwon Lee more than expected).

Fields of papers citing papers by Chun-Kwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Kwon 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 Chun-Kwon Lee. The network helps show where Chun-Kwon Lee may publish in the future.

Co-authors

The 17 scholars most cited alongside Chun-Kwon Lee, 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 Chun-Kwon Lee Line = papers co-authored together Chun-Kwon Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201785
2 201843
3 201841
4 201730
5 202021
6 202020
7 202219
8 201518
9 202317
10 201915
11 20199
12 20246
13 20185
14 20234
15 20164
16 20184
17 20133
18 20213
19 20242
20 20182

About Chun-Kwon Lee

Chun-Kwon Lee is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Civil and Structural Engineering, Statistics, Probability and Uncertainty and Mechanics of Materials, having authored 25 papers that have together received 355 indexed citations. Recurring topics across this work include Electrical Fault Detection and Protection (20 papers), Integrated Circuits and Semiconductor Failure Analysis (14 papers), Concrete Corrosion and Durability (6 papers), Power Systems Fault Detection (6 papers), HVDC Systems and Fault Protection (3 papers), Engineering and Test Systems (3 papers), High voltage insulation and dielectric phenomena (3 papers) and Thermal Analysis in Power Transmission (2 papers). The work is most often cited by research in Control and Systems Engineering (156 citations), Electrical and Electronic Engineering (289 citations), Civil and Structural Engineering (85 citations), Health Informatics (3 citations) and Statistics, Probability and Uncertainty (15 citations). Chun-Kwon Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Yong–June Shin, Gu-Young Kwon, Seung Jin Chang, Yeong Ho Lee, Geon Seok Lee, Ji-Won Kang, Jin Bae Park, Hansoo Kim, Ju-Yong Kim and Hee Cho. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Electronics, Applied Sciences, Electric Power Systems Research and Measurement.

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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