Kwon Hee Lee
Impact in
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- Probabilistic and Robust Engineering Design
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Optimal Experimental Design Methods 3
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- Engineering Applied Research 2
- Co-authors
- Tae-Hee Lee (1 shared paper)Gyung-Jin Park (1 shared paper)Kwanghyun Hwang (1 shared paper)Young Chul Park (2 shared papers)Sung Ho Kim (1 shared paper)Chong Lee (1 shared paper)
- Journals
- Applied Sciences (1 paper)Computers & Mathematics with Applications (1 paper)AIAA Journal (1 paper)Journal of Mechanical Science and Technology (1 paper)Applied Science and Convergence Technology (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Kwon Hee Lee
6 papers receiving 419 citations
Peers
Comparison fields: 5 of 54
- Statistics, Probability and Uncertainty 250
- Computational Theory and Mathematics 195
- Management Science and Operations Research 113
- Industrial and Manufacturing Engineering 55
- Civil and Structural Engineering 105
Countries citing papers authored by Kwon Hee Lee
This map shows the geographic impact of Kwon Hee 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 Kwon Hee Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwon Hee Lee more than expected).
Fields of papers citing papers by Kwon Hee Lee
This network shows the impact of papers produced by Kwon Hee 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 Kwon Hee Lee. The network helps show where Kwon Hee Lee may publish in the future.
Co-authors
The 6 scholars most cited alongside Kwon Hee Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 375 | |
| 2 | 2010 | 44 | |
| 3 | 2011 | 15 | |
| 4 | 2009 | 1 | |
| 5 | 2013 | 1 | |
| 6 | 2018 | 1 |
About Kwon Hee Lee
Kwon Hee Lee is a scholar working on Management Science and Operations Research, Civil and Structural Engineering, Computational Theory and Mathematics, Mechanical Engineering and Materials Chemistry, having authored 6 papers that have together received 437 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (3 papers), Engineering Applied Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Design Education and Practice (1 paper), Muon and positron interactions and applications (1 paper), Engineering Structural Analysis Methods (1 paper), Hydraulic and Pneumatic Systems (1 paper) and Luminescence Properties of Advanced Materials (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (250 citations), Computational Theory and Mathematics (195 citations), Management Science and Operations Research (113 citations), Industrial and Manufacturing Engineering (55 citations) and Civil and Structural Engineering (105 citations). Kwon Hee Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Tae-Hee Lee, Gyung-Jin Park, Kwanghyun Hwang, Young Chul Park, Sung Ho Kim and Chong Lee. Their work appears in journals such as Applied Sciences, Computers & Mathematics with Applications, AIAA Journal, Journal of Mechanical Science and Technology and Applied Science and Convergence Technology.
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.