Il-Moon Chung

1.5k total citations
105 papers, 1.1k citations indexed

About

Il-Moon Chung is a scholar working on Environmental Engineering, Water Science and Technology and Geochemistry and Petrology. According to data from OpenAlex, Il-Moon Chung has authored 105 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Environmental Engineering, 67 papers in Water Science and Technology and 32 papers in Geochemistry and Petrology. Recurrent topics in Il-Moon Chung's work include Hydrology and Watershed Management Studies (62 papers), Groundwater flow and contamination studies (44 papers) and Groundwater and Isotope Geochemistry (32 papers). Il-Moon Chung is often cited by papers focused on Hydrology and Watershed Management Studies (62 papers), Groundwater flow and contamination studies (44 papers) and Groundwater and Isotope Geochemistry (32 papers). Il-Moon Chung collaborates with scholars based in South Korea, Iran and United States. Il-Moon Chung's co-authors include Sun Woo Chang, Min Gyu Kim, Bisrat Ayalew Yifru, Jeongwoo Lee, Nam‐Won Kim, Marios Sophocleous, Sungwon Kim, Jun‐Haeng Heo, Il-Hwan Kim and Nam Won Kim and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Il-Moon Chung

90 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Il-Moon Chung South Korea 19 662 592 364 262 118 105 1.1k
Yohannes Yihdego Australia 18 341 0.5× 408 0.7× 366 1.0× 169 0.6× 129 1.1× 52 969
Laura Foglia United States 18 601 0.9× 512 0.9× 229 0.6× 271 1.0× 202 1.7× 46 926
Séverin Pistre France 22 729 1.1× 439 0.7× 280 0.8× 449 1.7× 77 0.7× 75 1.4k
Ismail Abd‐Elaty Egypt 20 584 0.9× 308 0.5× 193 0.5× 394 1.5× 159 1.3× 66 1.0k
Hany F. Abd‐Elhamid Egypt 21 564 0.9× 304 0.5× 206 0.6× 448 1.7× 207 1.8× 79 1.2k
Mohammad Nakhaei Iran 23 692 1.0× 564 1.0× 155 0.4× 555 2.1× 107 0.9× 70 1.4k
Philippe Orban Belgium 20 565 0.9× 480 0.8× 209 0.6× 401 1.5× 134 1.1× 81 1.3k
Pascal Goderniaux Belgium 17 623 0.9× 556 0.9× 273 0.8× 391 1.5× 103 0.9× 54 1.1k
Marco Masetti Italy 17 416 0.6× 184 0.3× 226 0.6× 316 1.2× 69 0.6× 57 838
Thomas Himmelsbach Germany 18 530 0.8× 296 0.5× 256 0.7× 516 2.0× 68 0.6× 39 997

Countries citing papers authored by Il-Moon Chung

Since Specialization
Citations

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

Fields of papers citing papers by Il-Moon Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Il-Moon Chung. 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 Il-Moon Chung. The network helps show where Il-Moon Chung may publish in the future.

Co-authorship network of co-authors of Il-Moon Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Il-Moon Chung. A scholar is included among the top collaborators of Il-Moon Chung 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 Il-Moon Chung. Il-Moon Chung 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.
Kim, Sungwon, Meysam Alizamir, Salim Heddam, et al.. (2025). Development of the machine learning and deep learning models with SHAP strategy for predicting groundwater levels in South Korea. Scientific Reports. 15(1). 35523–35523. 1 indexed citations
2.
Chung, Il-Moon, et al.. (2025). Coupled SWAT-MODFLOW model for assessing watershed responses to groundwater sustainability: A novel ensemble approach. Journal of Hydrology Regional Studies. 61. 102689–102689. 2 indexed citations
3.
4.
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
5.
Singh, Vijay Kumar, Dinesh Kumar Vishwakarma, Mohammad Ali Ghorbani, et al.. (2024). A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration. Scientific Reports. 14(1). 10638–10638. 18 indexed citations
6.
Yifru, Bisrat Ayalew, et al.. (2023). Assessment of Spatiotemporal Groundwater Recharge Distribution Using SWAT-MODFLOW Model and Transient Water Table Fluctuation Method. Water. 15(11). 2112–2112. 6 indexed citations
7.
Kim, Byung Sik, et al.. (2022). Evaluation of Water Supply Capacity of a Small Forested Basin Water Supply Facilities Using SWAT Model and Flow Recession Curve. KSCE Journal of Civil Engineering. 26(8). 3665–3675. 6 indexed citations
8.
9.
Chung, Il-Moon, Sun Woo Chang, Bisrat Ayalew Yifru, et al.. (2021). Challenges and Prospects of Advancing Groundwater Research in Ethiopian Aquifers: A Review. Sustainability. 13(20). 11500–11500. 33 indexed citations
10.
Yifru, Bisrat Ayalew, Min Gyu Kim, Sun Woo Chang, Jeongwoo Lee, & Il-Moon Chung. (2020). Assessment of the Effect of Sand Dam on Groundwater Level: A Case Study in Chuncheon, South Korea. The Journal of Engineering Geology. 30(2). 119–129. 4 indexed citations
11.
Kim, Ji-Tae, Jeong-Woo Lee, & Il-Moon Chung. (2020). Electro-Osmotic Dewatering under Electro-Osmotic Pulse Technology. The Journal of Engineering Geology. 30(4). 423–433. 1 indexed citations
12.
Chung, Il-Moon. (2019). Preliminary Hydrological Design for Sand Dam Installation at the Valley of Seosang-ri, Chuncheon. 39(6). 725–733. 2 indexed citations
13.
14.
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
15.
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
16.
Chung, Il-Moon, et al.. (2017). Long-term Prediction of Groundwater Level in Jeju Island Using Artificial Neural Network Model. Journal of the Korean Society of Civil Engineers. 37(6). 981–987. 1 indexed citations
17.
Hamm, Se‐Yeong, et al.. (2016). Characterizing the Impact of River Barrage Construction on Stream-Aquifer Interactions, Korea. Water. 8(4). 137–137. 8 indexed citations
18.
Choo, Chang Oh, et al.. (2008). Geochemical Aspects of Groundwater in Granite Area and the Origin of Fluoride with Emphasis on the Water-Rock Interaction. The Journal of Engineering Geology. 18(1). 103–115. 3 indexed citations
19.
Chung, Il-Moon, et al.. (2007). Estimation of Groundwater Recharge by Considering Runoff Process and Groundwater Level Variation in Watershed. Journal of Soil and Groundwater Environment. 12(5). 19–32. 2 indexed citations
20.
Chung, Il-Moon, et al.. (2006). Estimation of Ground Water Recharge Using SWAT Model. AGU Fall Meeting Abstracts. 2006. 1 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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