Jeong Eun Lee

1.1k total citations
32 papers, 693 citations indexed

About

Jeong Eun Lee is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jeong Eun Lee has authored 32 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Water Science and Technology, 19 papers in Global and Planetary Change and 15 papers in Environmental Engineering. Recurrent topics in Jeong Eun Lee's work include Hydrology and Watershed Management Studies (25 papers), Hydrological Forecasting Using AI (14 papers) and Flood Risk Assessment and Management (11 papers). Jeong Eun Lee is often cited by papers focused on Hydrology and Watershed Management Studies (25 papers), Hydrological Forecasting Using AI (14 papers) and Flood Risk Assessment and Management (11 papers). Jeong Eun Lee collaborates with scholars based in South Korea, Algeria and Vietnam. Jeong Eun Lee's co-authors include Sowbiya Muneer, Eun Young Kim, Nam Won Kim, Jeongwoo Lee, Mirye Park, Sung‐Suk Suh, Sang Hyun Moh, Jinik Hwang, Taek‐Kyun Lee and Hyeon-Jun Kim and has published in prestigious journals such as International Journal of Molecular Sciences, Hydrological Processes and Marine Drugs.

In The Last Decade

Jeong Eun Lee

25 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeong Eun Lee South Korea 10 259 180 178 132 115 32 693
Rolston St. Hilaire United States 17 277 1.1× 268 1.5× 31 0.2× 155 1.2× 80 0.7× 54 770
Yasuomi Ibaraki Japan 16 576 2.2× 158 0.9× 48 0.3× 89 0.7× 285 2.5× 52 968
C. Giménez Spain 19 945 3.6× 317 1.8× 47 0.3× 50 0.4× 74 0.6× 37 1.2k
Luca Vitale Italy 21 598 2.3× 238 1.3× 24 0.1× 47 0.4× 140 1.2× 57 990
Yanan Guan China 19 454 1.8× 86 0.5× 33 0.2× 73 0.6× 117 1.0× 48 890
Yiran Zhang China 15 44 0.2× 93 0.5× 194 1.1× 137 1.0× 57 0.5× 49 817
I. V. Gribovskaya Russia 16 259 1.0× 47 0.3× 17 0.1× 63 0.5× 70 0.6× 39 685
Hanaa K. Galal Egypt 7 437 1.7× 47 0.3× 45 0.3× 54 0.4× 120 1.0× 13 642
Inmaculada Bautista Spain 15 385 1.5× 200 1.1× 65 0.4× 77 0.6× 69 0.6× 44 853

Countries citing papers authored by Jeong Eun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jeong Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeong Eun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong Eun Lee. A scholar is included among the top collaborators of Jeong Eun 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 Jeong Eun Lee. Jeong Eun 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.
Alizamir, Meysam, Kaywan Othman Ahmed, Salim Heddam, Sungwon Kim, & Jeong Eun Lee. (2025). Daily soil temperature prediction using hybrid deep learning and SHAP for sustainable soil management. Engineering Applications of Computational Fluid Mechanics. 19(1).
2.
3.
Chang, Sun Woo, et al.. (2024). Assessment of Hydrological Responses to Land Use and Land Cover Changes in Forest-Dominated Watershed Using SWAT Model. Water. 16(4). 528–528. 9 indexed citations
4.
Lee, Jeongwoo, et al.. (2023). Evaluation of Seasonal Climate Predictability Considering the Duration of Climate Indices. Water. 15(18). 3291–3291. 1 indexed citations
5.
6.
Lee, Jeongwoo, Jeongwoo Lee, Jeong Eun Lee, Jeong Eun Lee, & Nam Won Kim. (2020). Estimation of Hourly Flood Hydrograph from Daily Flows Using Artificial Neural Network and Flow Disaggregation Technique. Water. 13(1). 30–30. 10 indexed citations
7.
Kim, Minsoo P., et al.. (2020). Estimating Exploitable Groundwater as a Function of Precipitation Using a Distributed Hydrologic Model and Frequency Analysis. The Journal of Engineering Geology. 30(3). 253–268. 1 indexed citations
8.
9.
Chung, Il-Moon, et al.. (2018). The Estimation of Sand Dam Storage using a Watershed Hydrologic Model and Reservoir Routing Method. The Journal of Engineering Geology. 28(4). 541–552. 1 indexed citations
10.
Chung, Il-Moon, et al.. (2018). Estimation of Distributed Groundwater Recharge in Jangseong District by using Integrated Hydrologic Model. Journal of the Korean Society of Civil Engineers. 38(4). 517–526. 1 indexed citations
11.
Lee, Jeongwoo, et al.. (2018). Application of Artificial Neural Networks to Rainfall Forecasting in the Geum River Basin, Korea. Water. 10(10). 1448–1448. 83 indexed citations
12.
13.
Shin, Mun-Ju, et al.. (2016). Application of flood-intensity-duration curve, rainfall-intensity-duration curve and time of concentration to analyze the pattern of storms and their corresponding floods for the natural flood events. EGU General Assembly Conference Abstracts. 1 indexed citations
14.
Kim, Nam Won, et al.. (2015). Effect of Observed Discharge Data on Regional Flood Frequency Analysis in the Han River Basin. Journal of Korea Water Resources Association. 48(6). 511–522. 3 indexed citations
15.
Kim, Nam Won, et al.. (2015). Dam Effects on Spatial Extension of Flood Discharge Data and Flood Reduction Scale I. Journal of Korea Water Resources Association. 48(3). 209–220. 2 indexed citations
16.
Suh, Sung‐Suk, Jinik Hwang, Mirye Park, et al.. (2014). Anti-Inflammation Activities of Mycosporine-Like Amino Acids (MAAs) in Response to UV Radiation Suggest Potential Anti-Skin Aging Activity. Marine Drugs. 12(10). 5174–5187. 132 indexed citations
17.
Kim, Nam Won, et al.. (2014). Assessing the Effect of Upstream Dam Outflows and River Water Uses on the Inflows to the Paldang Dam. Journal of Korea Water Resources Association. 47(11). 1017–1026. 1 indexed citations
18.
Lee, Jeongwoo, Nam Won Kim, & Jeong Eun Lee. (2014). Estimation of Actual Evapotranspiration and Storage Change for the Bokahcheon Upper-middle Watershed. Journal of Korea Water Resources Association. 47(7). 615–628. 2 indexed citations
19.
Lee, Jeongwoo, et al.. (2013). Estimation of Natural Streamflow for the Bokhacheon Middle-upper Watershed. Journal of Korea Water Resources Association. 46(12). 1169–1180. 4 indexed citations
20.
Kim, Nam Won & Jeong Eun Lee. (2004). Catchment Response and Parameters of Clark Model. 1188–1192.

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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