Won–Cheol Lee

59 papers receiving 343 citations

Peers

Won–Cheol Lee
Comparison fields: 5 of 69
  • Sensory Systems 17
  • Endocrine and Autonomic Systems 16
  • Signal Processing 18
  • Electrical and Electronic Engineering 92
  • Experimental and Cognitive Psychology 26
Replace Shuenn-Tsong Young with:
Shuenn-Tsong Young Taiwan
Will Ke Wang United States
Katsumi Tateno Japan
Isaac Henry United States
Raqibul Mostafa Bangladesh
Jérôme Foussier Germany
Mattia Bertschi Switzerland
André Eberhard France
Gabrielle Green United Kingdom
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Won–Cheol Lee relative to Shuenn-Tsong Young Taiwan Shuenn-Tsong Young's profile →
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Citations per year

Countries citing papers authored by Won–Cheol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won–Cheol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won–Cheol 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 Won–Cheol Lee. The network helps show where Won–Cheol Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Won–Cheol 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 Won–Cheol Lee Line = papers co-authored together Won–Cheol Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202260
2 202018
3 200217
4 201116
5 201815
6 202115
7 202214
8 202113
9 200912
10 201211
11 200710
12 20169
13 20249
14 20088
15 20217
16 20227
17 20237
18 20166
19 20166
20 20216

About Won–Cheol Lee

Won–Cheol Lee is a scholar working on Experimental and Cognitive Psychology, Electrical and Electronic Engineering, General Health Professions, Computer Networks and Communications and Signal Processing, having authored 68 papers that have together received 353 indexed citations. Recurring topics across this work include Sleep and Work-Related Fatigue (9 papers), Workplace Health and Well-being (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers), Hearing Loss and Rehabilitation (4 papers), Advanced Wireless Communication Techniques (4 papers), Digital Filter Design and Implementation (3 papers) and Gastroesophageal reflux and treatments (3 papers). The work is most often cited by research in Sensory Systems (17 citations), Endocrine and Autonomic Systems (16 citations), Signal Processing (18 citations), Electrical and Electronic Engineering (92 citations) and Experimental and Cognitive Psychology (26 citations). Won–Cheol Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Ho Cheol Shin, Seungho Ryu, Yoosoo Chang, Yoan Shin, Chung-Yuen Won, Youngchul Sung, Seung‐Hoon Hwang, Waqas Khalid, Shuzhi Liu and Jang-Won Lee. Their work appears in journals such as Scientific Reports, International Journal of Environmental Research and Public Health, BMJ Open, Animal Cells and Systems and Epidemiology and Health.

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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