Chun-Kwon Lee

537 citations
28 papers · 396 · h-index 11

Impact in

Papers in

Chun-Kwon Lee

22 papers receiving 389 citations

Peers

Chun-Kwon Lee
Comparison fields: 5 of 41
  • Control and Systems Engineering 175
  • Electrical and Electronic Engineering 320
  • Civil and Structural Engineering 87
  • Statistics, Probability and Uncertainty 15
  • Health Informatics 3
Replace Seung Jin Chang with:
Seung Jin Chang South Korea
Qinghai Shi Germany
Moussa Kafal France
Jonas Guedes Borges da Silva Brazil
Özcan Kalenderli Türkiye
Cattareeya Suwanasri Thailand
Daniel Guillén Mexico
Renato Sasdelli Italy
Zhixiang Liu China
Gill G. Richards United States
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201790
2 201845
3 201845
4 201732
5 202028
6 202023
7 202223
8 201518
9 202318
10 201917
11 201911
12 20248
13 20166
14 20185
15 20245
16 20235
17 20184
18 20213
19 20133
20 20242

About Chun-Kwon Lee

Chun-Kwon Lee is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Civil and Structural Engineering, Mechanics of Materials and Statistics, Probability and Uncertainty, having authored 28 papers that have together received 396 indexed citations. Recurring topics across this work include Electrical Fault Detection and Protection (22 papers), Integrated Circuits and Semiconductor Failure Analysis (14 papers), Concrete Corrosion and Durability (6 papers), Power Systems Fault Detection (5 papers), High voltage insulation and dielectric phenomena (3 papers), Engineering and Test Systems (3 papers), HVDC Systems and Fault Protection (3 papers) and Thermal Analysis in Power Transmission (2 papers). The work is most often cited by research in Control and Systems Engineering (175 citations), Electrical and Electronic Engineering (320 citations), Civil and Structural Engineering (87 citations), Statistics, Probability and Uncertainty (15 citations) and Health Informatics (3 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, Ju-Yong Kim, Hee Cho and Su Sik Bang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Applied Sciences, IEEE Transactions on Industrial Electronics, Sensors and Electric Power Systems Research.

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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