Sunmin Lee

2.1k total citations
32 papers, 1.2k citations indexed

About

Sunmin Lee is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Sunmin Lee has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 11 papers in Environmental Engineering and 10 papers in Water Science and Technology. Recurrent topics in Sunmin Lee's work include Flood Risk Assessment and Management (12 papers), Hydrology and Watershed Management Studies (7 papers) and Landslides and related hazards (7 papers). Sunmin Lee is often cited by papers focused on Flood Risk Assessment and Management (12 papers), Hydrology and Watershed Management Studies (7 papers) and Landslides and related hazards (7 papers). Sunmin Lee collaborates with scholars based in South Korea, United States and Slovakia. Sunmin Lee's co-authors include Saro Lee, Hyung-Sup Jung, Moung-Jin Lee, Jeong-Cheol Kim, Moung Jin Lee, Yunjung Hyun, Nguyễn Thị Thùy Linh, Quoc Bao Pham, Romulus Costache and Matej Vojtek and has published in prestigious journals such as Chemical Engineering Journal, Journal of Environmental Management and Sustainability.

In The Last Decade

Sunmin Lee

27 papers receiving 1.2k citations

Peers

Sunmin Lee
Sunmin Lee
Citations per year, relative to Sunmin Lee Sunmin Lee (= 1×) peers Huiyuan Bian

Countries citing papers authored by Sunmin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sunmin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunmin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sunmin Lee. A scholar is included among the top collaborators of Sunmin 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 Sunmin Lee. Sunmin 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, Sunmin & Moung-Jin Lee. (2025). Forest Aboveground Biomass Estimation by the Integration of GEDI LiDAR and National Forest Inventory Data in South Korea. Korean Journal of Remote Sensing. 41(2). 407–419.
3.
Lee, Sunmin, et al.. (2025). First demonstration of LiNiCoMnAlO2 resynthesis from industrial Li-ion battery leachate. Chemical Engineering Journal. 526. 171194–171194.
4.
Lee, Sunmin, et al.. (2025). Deep Learning-Based Retrieval of Chlorophyll-a in Lakes Using Sentinel-1 and Sentinel-2 Satellite Imagery. Water. 17(11). 1718–1718. 4 indexed citations
6.
Lee, Sunmin, et al.. (2024). Performance analysis of regenerated cathode active materials for Li-ion batteries via direct recycling. Journal of Energy Storage. 103. 114214–114214. 2 indexed citations
7.
Kim, Jeong-Cheol & Sunmin Lee. (2023). Comparative Study of Deep Neural Networks for Landslide Susceptibility Assessment: A Case Study of Pyeongchang-gun, South Korea. Sustainability. 16(1). 245–245. 4 indexed citations
8.
Lee, Sunmin, et al.. (2023). The Evaluation of the Temperature Reduction Effects of Cool Roofs and Cool Pavements as Urban Heatwave Mitigation Strategies. Applied Sciences. 13(20). 11451–11451. 4 indexed citations
9.
Lee, Sunmin, Won-Kyung Baek, Hyung-Sup Jung, & Saro Lee. (2020). Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon. Applied Sciences. 10(22). 8189–8189. 37 indexed citations
10.
Costache, Romulus, Quoc Bao Pham, Mohammadtaghi Avand, et al.. (2020). Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment. Journal of Environmental Management. 265. 110485–110485. 104 indexed citations
11.
Lee, Yong-Suk, et al.. (2020). Mapping Forest Vertical Structure in Jeju Island from Optical and Radar Satellite Images Using Artificial Neural Network. Remote Sensing. 12(5). 797–797. 16 indexed citations
12.
Lee, Yong-Suk, Sunmin Lee, & Hyung-Sup Jung. (2020). Mapping Forest Vertical Structure in Gong-ju, Korea Using Sentinel-2 Satellite Images and Artificial Neural Networks. Applied Sciences. 10(5). 1666–1666. 14 indexed citations
13.
Lee, Sunmin, Moung-Jin Lee, Hyung-Sup Jung, & Saro Lee. (2019). Landslide susceptibility mapping using Naïve Bayes and Bayesian network models in Umyeonsan, Korea. Geocarto International. 35(15). 1665–1679. 71 indexed citations
14.
Lee, Sunmin, Moung-Jin Lee, & Saro Lee. (2018). Spatial prediction of urban landslide susceptibility based on topographic factors using boosted trees. Environmental Earth Sciences. 77(18). 21 indexed citations
15.
Lee, Sunmin, Jeong-Cheol Kim, Hyung-Sup Jung, Moung Jin Lee, & Saro Lee. (2017). Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea. Geomatics Natural Hazards and Risk. 8(2). 1185–1203. 296 indexed citations
16.
Kim, Jeong-Cheol, et al.. (2017). Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea. Geocarto International. 33(9). 1000–1015. 230 indexed citations
17.
Lee, Saro, Sunmin Lee, Wonkyong Song, & Moung-Jin Lee. (2017). Habitat Potential Mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea Using Artificial Neural Network Machine Learning. Applied Sciences. 7(9). 912–912. 16 indexed citations
18.
Lee, Sunmin, Moung-Jin Lee, & Hyung-Sup Jung. (2017). Data Mining Approaches for Landslide Susceptibility Mapping in Umyeonsan, Seoul, South Korea. Applied Sciences. 7(7). 683–683. 43 indexed citations
19.
Lee, Sunmin, et al.. (2015). Two-step clustering of SIFT keypoints and relaxation based matching of clusters. 200–204. 1 indexed citations
20.
Chang, Chung‐Yu, et al.. (2007). Photocatalytic disinfection of phytopathogenic bacteria by dye-sensitized TiO2 thin film activated by visible light. Surface and Coatings Technology. 202(4-7). 1329–1332. 49 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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