Joong‐Hyuk Min

607 total citations
26 papers, 507 citations indexed

About

Joong‐Hyuk Min is a scholar working on Environmental Chemistry, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Joong‐Hyuk Min has authored 26 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Chemistry, 12 papers in Water Science and Technology and 10 papers in Environmental Engineering. Recurrent topics in Joong‐Hyuk Min's work include Soil and Water Nutrient Dynamics (10 papers), Hydrology and Watershed Management Studies (9 papers) and Hydrological Forecasting Using AI (6 papers). Joong‐Hyuk Min is often cited by papers focused on Soil and Water Nutrient Dynamics (10 papers), Hydrology and Watershed Management Studies (9 papers) and Hydrological Forecasting Using AI (6 papers). Joong‐Hyuk Min collaborates with scholars based in South Korea, United States and Philippines. Joong‐Hyuk Min's co-authors include James W. Jawitz, William R. Wise, Seong‐Taek Yun, Rajendra Paudel, Kangjoo Kim, Kyunghyun Kim, Minji Park, Kwang‐Sik Lee, Hyoung-Soo Kim and Eun Hye Na and has published in prestigious journals such as Water Research, Journal of Hydrology and Journal of Environmental Management.

In The Last Decade

Joong‐Hyuk Min

26 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joong‐Hyuk Min South Korea 15 236 183 137 128 106 26 507
Gabriel Fink Germany 13 431 1.8× 113 0.6× 180 1.3× 94 0.7× 24 0.2× 18 789
Gary Sterle United States 9 342 1.4× 216 1.2× 182 1.3× 55 0.4× 104 1.0× 12 529
Michael Owor Uganda 16 197 0.8× 231 1.3× 37 0.3× 35 0.3× 177 1.7× 27 610
Sen Bai United States 9 302 1.3× 144 0.8× 147 1.1× 85 0.7× 22 0.2× 13 465
Ali Ertürk Türkiye 13 338 1.4× 139 0.8× 114 0.8× 94 0.7× 77 0.7× 40 573
Chris Daughney New Zealand 10 152 0.6× 158 0.9× 139 1.0× 128 1.0× 173 1.6× 17 463
A.S. Andres United States 11 239 1.0× 159 0.9× 273 2.0× 99 0.8× 210 2.0× 40 580
Renaud Quilbé Canada 11 375 1.6× 100 0.5× 250 1.8× 73 0.6× 31 0.3× 17 510
Dirk Radny Switzerland 12 236 1.0× 254 1.4× 63 0.5× 92 0.7× 157 1.5× 18 531
Jana Levison Canada 18 322 1.4× 322 1.8× 123 0.9× 59 0.5× 228 2.2× 47 701

Countries citing papers authored by Joong‐Hyuk Min

Since Specialization
Citations

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

Fields of papers citing papers by Joong‐Hyuk Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joong‐Hyuk Min. 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 Joong‐Hyuk Min. The network helps show where Joong‐Hyuk Min may publish in the future.

Co-authorship network of co-authors of Joong‐Hyuk Min

This figure shows the co-authorship network connecting the top 25 collaborators of Joong‐Hyuk Min. A scholar is included among the top collaborators of Joong‐Hyuk Min 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 Joong‐Hyuk Min. Joong‐Hyuk Min 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, Dae‐Seong, et al.. (2023). Data-driven models for predicting community changes in freshwater ecosystems: A review. Ecological Informatics. 77. 102163–102163. 19 indexed citations
2.
Lee, Jimin, et al.. (2023). Integrated Assessment of the Land Use Change and Climate Change Impact on Baseflow by Using Hydrologic Model. Sustainability. 15(16). 12465–12465. 14 indexed citations
3.
Chon, Tae‐Soo, et al.. (2023). Spatial patterning of benthic macroinvertebrate communities using Geo-self-organizing map (Geo-SOM): A case study in the Nakdong River, South Korea. Ecological Informatics. 76. 102148–102148. 2 indexed citations
4.
Park, Minji, et al.. (2023). Managing the Taste and Odor Compound 2-MIB in a River-Reservoir System, South Korea. Water. 15(23). 4107–4107. 1 indexed citations
5.
6.
Pyo, JongCheol, Yong Sung Kwon, Joong‐Hyuk Min, et al.. (2021). Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models. Journal of Environmental Management. 294. 112988–112988. 18 indexed citations
7.
Ahn, Jung Min, et al.. (2021). Predicting Cyanobacterial Harmful Algal Blooms (CyanoHABs) in a Regulated River Using a Revised EFDC Model. Water. 13(4). 439–439. 22 indexed citations
8.
Park, Sanghyun, et al.. (2020). Variable update strategy to improve water quality forecast accuracy in multivariate data assimilation using the ensemble Kalman filter. Water Research. 176. 115711–115711. 13 indexed citations
9.
Abbas, Ather, Sang‐Soo Baek, Minjeong Kim, et al.. (2020). Surface and sub-surface flow estimation at high temporal resolution using deep neural networks. Journal of Hydrology. 590. 125370–125370. 18 indexed citations
10.
11.
Kim, Kyunghyun, et al.. (2014). Simulation of algal bloom dynamics in a river with the ensemble Kalman filter. Journal of Hydrology. 519. 2810–2821. 41 indexed citations
12.
Min, Joong‐Hyuk, Rajendra Paudel, & James W. Jawitz. (2011). Mechanistic Biogeochemical Model Applications for Everglades Restoration: A Review of Case Studies and Suggestions for Future Modeling Needs. Critical Reviews in Environmental Science and Technology. 41(sup1). 489–516. 17 indexed citations
13.
Min, Joong‐Hyuk, et al.. (2010). Wetland-Groundwater Interactions in Subtropical Depressional Wetlands. Wetlands. 30(5). 997–1006. 27 indexed citations
14.
Min, Joong‐Hyuk, Rajendra Paudel, & James W. Jawitz. (2010). Spatially distributed modeling of surface water flow dynamics in the Everglades ridge and slough landscape. Journal of Hydrology. 390(1-2). 1–12. 24 indexed citations
15.
Min, Joong‐Hyuk & William R. Wise. (2010). Depth‐averaged, spatially distributed flow dynamic and solute transport modelling of a large‐scaled, subtropical constructed wetland. Hydrological Processes. 24(19). 2724–2737. 14 indexed citations
16.
Min, Joong‐Hyuk & William R. Wise. (2009). Simulating short‐circuiting flow in a constructed wetland: the implications of bathymetry and vegetation effects. Hydrological Processes. 23(6). 830–841. 49 indexed citations
17.
Min, Joong‐Hyuk, et al.. (2007). Effect of postnatal catch-up growth on blood pressure in children at 3 years of age. Journal of Human Hypertension. 21(11). 868–874. 41 indexed citations
18.
Joo, Yongsung, et al.. (2006). Logistic mixture of multivariate regressions for analysis of water quality impacted by agrochemicals. Environmetrics. 18(5). 499–514. 7 indexed citations
19.
Min, Joong‐Hyuk, et al.. (2003). Geologic controls on the chemical behaviour of nitrate in riverside alluvial aquifers, Korea. Hydrological Processes. 17(6). 1197–1211. 62 indexed citations
20.
Min, Joong‐Hyuk, et al.. (2002). Nitrate contamination of alluvial groundwaters in the Nakdong River basin, Korea. Geosciences Journal. 6(1). 35–46. 47 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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