Gyumin Lee

637 total citations
27 papers, 470 citations indexed

About

Gyumin Lee is a scholar working on Global and Planetary Change, Ocean Engineering and Water Science and Technology. According to data from OpenAlex, Gyumin Lee has authored 27 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 6 papers in Ocean Engineering and 4 papers in Water Science and Technology. Recurrent topics in Gyumin Lee's work include Flood Risk Assessment and Management (6 papers), Hydrological Forecasting Using AI (3 papers) and Intellectual Property and Patents (3 papers). Gyumin Lee is often cited by papers focused on Flood Risk Assessment and Management (6 papers), Hydrological Forecasting Using AI (3 papers) and Intellectual Property and Patents (3 papers). Gyumin Lee collaborates with scholars based in South Korea, Puerto Rico and Ethiopia. Gyumin Lee's co-authors include Chang‐Yong Lee, Seung Jun Lee, Kyung Soo Jun, Daeil Kwon, Juram Kim, ‪Eun‐Sung Chung, Jae Min Kim, Jung‐Sik Kim, Byeong‐hee Roh and Jinsuk Kang and has published in prestigious journals such as Expert Systems with Applications, Technological Forecasting and Social Change and Sustainability.

In The Last Decade

Gyumin Lee

27 papers receiving 450 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gyumin Lee South Korea 11 126 124 108 56 55 27 470
Hayley J. Davison Reynolds United States 5 81 0.6× 86 0.7× 27 0.3× 24 0.4× 137 2.5× 11 441
Gongzhuang Peng China 16 25 0.2× 162 1.3× 34 0.3× 11 0.2× 87 1.6× 47 738
Sadik Kucuksari United States 14 125 1.0× 190 1.5× 471 4.4× 15 0.3× 82 1.5× 33 815
Washington Ochieng United Kingdom 14 130 1.0× 58 0.5× 74 0.7× 27 0.5× 39 0.7× 46 607
Rosa María Arnaldo Valdés Spain 14 68 0.5× 54 0.4× 33 0.3× 125 2.2× 50 0.9× 95 726
Víctor Fernando Gómez Comendador Spain 15 64 0.5× 50 0.4× 32 0.3× 125 2.2× 54 1.0× 90 729
Dan DeLaurentis United States 8 54 0.4× 115 0.9× 13 0.1× 14 0.3× 21 0.4× 19 384
Zhiqiang Wu China 9 131 1.0× 74 0.6× 84 0.8× 13 0.2× 12 0.2× 19 433
Vahid Akbari United Kingdom 13 63 0.5× 47 0.4× 26 0.2× 20 0.4× 25 0.5× 28 586
Sangho Kim South Korea 12 39 0.3× 115 0.9× 22 0.2× 27 0.5× 14 0.3× 38 687

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-authorship network of co-authors of Gyumin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gyumin Lee. A scholar is included among the top collaborators of Gyumin Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gyumin Lee. Gyumin Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Gyumin, et al.. (2023). Inventor–licensee matchmaking for university technology licensing: A fastText approach. Technovation. 125. 102765–102765. 7 indexed citations
2.
Kim, Juram, et al.. (2022). Towards expert–machine collaborations for technology valuation: An interpretable machine learning approach. Technological Forecasting and Social Change. 183. 121940–121940. 24 indexed citations
3.
Lee, Gyumin, Juram Kim, & Chang‐Yong Lee. (2022). State-of-health estimation of Li-ion batteries in the early phases of qualification tests: An interpretable machine learning approach. Expert Systems with Applications. 197. 116817–116817. 51 indexed citations
4.
Lee, Gyumin, Daeil Kwon, & Chang‐Yong Lee. (2022). A convolutional neural network model for SOH estimation of Li-ion batteries with physical interpretability. Mechanical Systems and Signal Processing. 188. 110004–110004. 90 indexed citations
5.
Jun, Kyung Soo, et al.. (2021). Performance Assessment for Short-Term Water Demand Forecasting Models on Distinctive Water Uses in Korea. Sustainability. 13(11). 6056–6056. 14 indexed citations
6.
7.
Lee, Gyumin, et al.. (2021). An Approach to Drought Vulnerability Assessment Focused on Groundwater Wells in Upland Cultivation Areas of South Korea. Agronomy. 11(9). 1783–1783. 2 indexed citations
8.
Lee, Gyumin, et al.. (2020). A Study on the Prediction of Daily Snowmelt Depth using Multiple Linear Regression. Korean Society of Hazard Mitigation. 20(6). 311–321. 2 indexed citations
9.
Kim, Jae Min, Gyumin Lee, Chang‐Yong Lee, & Seung Jun Lee. (2020). Abnormality diagnosis model for nuclear power plants using two-stage gated recurrent units. Nuclear Engineering and Technology. 52(9). 2009–2016. 36 indexed citations
10.
Lee, Gyumin, Seung Jun Lee, & Chang‐Yong Lee. (2020). A convolutional neural network model for abnormality diagnosis in a nuclear power plant. Applied Soft Computing. 99. 106874–106874. 69 indexed citations
11.
Lee, Gyumin, et al.. (2020). Rainfall-runoff Modeling by Hydro-meteorological Factors in the Coastal Urban Region. Journal of Coastal Research. 95(sp1). 1303–1303. 1 indexed citations
12.
Lee, Chang‐Yong & Gyumin Lee. (2019). Technology opportunity analysis based on recombinant search: patent landscape analysis for idea generation. Scientometrics. 121(2). 603–632. 44 indexed citations
13.
Lee, Gyumin, et al.. (2017). MCDM Approach for Identifying Urban Flood Vulnerability under Social Environment and Climate Change. Journal of Coastal Research. 79. 209–213. 12 indexed citations
14.
Lee, Gyumin, et al.. (2016). Multi-Criteria Surge Vulnerability Assessment with Long-term Reanalysis. Journal of Coastal Research. 75(sp1). 1172–1176. 3 indexed citations
15.
Lee, Gyumin, et al.. (2016). Rip Current Zoning Map to Manage Safety at Haeundae Beach, South Korea. Journal of Coastal Research. 75(sp1). 1452–1456. 2 indexed citations
16.
Lee, Gyumin, et al.. (2016). An Approach of Social Vulnerability Assessment to Urban Flood. Korean Society of Hazard Mitigation. 16(4). 43–51. 3 indexed citations
17.
Lee, Gyumin, et al.. (2015). A Study on Tsunami Vulnerability Assessment in South Korea. The Twenty-fifth International Ocean and Polar Engineering Conference. 1 indexed citations
18.
Lee, Gyumin, Kyung Soo Jun, & ‪Eun‐Sung Chung. (2013). Robust spatial flood vulnerability assessment for Han River using fuzzy TOPSIS with α-cut level set. Expert Systems with Applications. 41(2). 644–654. 58 indexed citations
19.
Lee, Gyumin, ‪Eun‐Sung Chung, & Kyung Soo Jun. (2013). MCDM Approach for Flood Vulnerability Assessment using TOPSIS Method with α Cut Level Sets. Journal of Korea Water Resources Association. 46(10). 977–987. 1 indexed citations
20.
Lee, Gyumin, et al.. (2011). Time-Varying Effects of Empowerment on Job Satisfaction for Customer-Contact versus Non-Customer-Contact Employee Groups. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 6 indexed citations

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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Breakdown of academic impact, for papers by Hayley J. Davison Reynolds Breakdown of academic impact, for papers by Gongzhuang Peng Breakdown of academic impact, for papers by Sadik Kucuksari Breakdown of academic impact, for papers by Washington Ochieng Breakdown of academic impact, for papers by Rosa María Arnaldo Valdés Breakdown of academic impact, for papers by Víctor Fernando Gómez Comendador Breakdown of academic impact, for papers by Dan DeLaurentis Breakdown of academic impact, for papers by Zhiqiang Wu Breakdown of academic impact, for papers by Vahid Akbari Breakdown of academic impact, for papers by Sangho Kim
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