Gyumin Lee

27 papers receiving 450 citations

Peers

Gyumin Lee
Comparison fields: 5 of 100
  • Automotive Engineering 126
  • Statistics, Probability and Uncertainty 56
  • Management of Technology and Innovation 43
  • Control and Systems Engineering 124
  • Safety, Risk, Reliability and Quality 41
Replace N.I. Voropai with:
N.I. Voropai Russia
Sadik Kucuksari United States
Hayley J. Davison Reynolds United States
Dan DeLaurentis United States
Rosa María Arnaldo Valdés Spain
Gongzhuang Peng China
Víctor Fernando Gómez Comendador Spain
Jacek Skorupski Poland
Zhiqiang Wu China
Washington Ochieng United Kingdom
Gyumin Lee relative to N.I. Voropai Russia N.I. Voropai's profile →
Citations per field
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N.I. Voropai · 1×
Citations per year

Countries citing papers authored by Gyumin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Gyumin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Gyumin 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 Gyumin Lee Line = papers co-authored together Gyumin Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202290
2 202069
3 201358
4 202251
5 201944
6 202036
7 202224
8 202114
9 202112
10 201712
11 201911
12 20237
13 20217
14
Time-Varying Effects of Empowerment on Job Satisfaction for Customer-Contact versus Non-Customer-Contact Employee Groups
20116
15 20194
16 20163
17 20163
18 20153
19 20083
20 20202

About Gyumin Lee

Gyumin Lee is a scholar working on Global and Planetary Change, Ocean Engineering, Water Science and Technology, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 27 papers that have together received 470 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (6 papers), Hydrological Forecasting Using AI (3 papers), Intellectual Property and Patents (3 papers), Reliability and Maintenance Optimization (2 papers), Electric Vehicles and Infrastructure (2 papers), Fault Detection and Control Systems (2 papers), Marine and Coastal Research (2 papers) and Diverse Approaches in Healthcare and Education Studies (2 papers). The work is most often cited by research in Automotive Engineering (126 citations), Statistics, Probability and Uncertainty (56 citations), Management of Technology and Innovation (43 citations), Control and Systems Engineering (124 citations) and Safety, Risk, Reliability and Quality (41 citations). Gyumin Lee has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Chang‐Yong Lee, Seung Jun Lee, Kyung Soo Jun, Daeil Kwon, Juram Kim, ‪Eun‐Sung Chung, Jae Min Kim, Richard R. Perdue, Jung‐Sik Kim and Byeong‐hee Roh. Their work appears in journals such as Journal of Coastal Research, Expert Systems with Applications, Sustainability, Nuclear Engineering and Technology and Technovation.

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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