Kichul Jung

603 total citations
39 papers, 452 citations indexed

About

Kichul Jung is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Kichul Jung has authored 39 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Water Science and Technology, 17 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in Kichul Jung's work include Hydrology and Watershed Management Studies (26 papers), Hydrology and Drought Analysis (10 papers) and Flood Risk Assessment and Management (9 papers). Kichul Jung is often cited by papers focused on Hydrology and Watershed Management Studies (26 papers), Hydrology and Drought Analysis (10 papers) and Flood Risk Assessment and Management (9 papers). Kichul Jung collaborates with scholars based in South Korea, United States and Canada. Kichul Jung's co-authors include Daeryong Park, Myoung‐Jin Um, Taha B. M. J. Ouarda, Prashanth Marpu, Siyeon Kim, Yeonjoo Kim, Moon Young Lee, Ju‐Young Shin, Deg‐Hyo Bae and Jeffrey D. Niemann and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Journal of Hydrology.

In The Last Decade

Kichul Jung

37 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kichul Jung South Korea	12	209	175	119	67	65	39	452
Jiren Li China	17	361 1.7×	340 1.9×	318 2.7×	31 0.5×	69 1.1×	51	673
Xiaoyan He China	15	421 2.0×	478 2.7×	301 2.5×	32 0.5×	52 0.8×	25	784
Rajeev Sahay United States	10	203 1.0×	98 0.6×	244 2.1×	60 0.9×	56 0.9×	27	411
Yimin Wang China	14	467 2.2×	285 1.6×	110 0.9×	96 1.4×	68 1.0×	38	770
Kadri Yürekli Türkiye	10	176 0.8×	191 1.1×	180 1.5×	67 1.0×	20 0.3×	33	400
Mansour Talebizadeh United States	8	196 0.9×	119 0.7×	156 1.3×	27 0.4×	30 0.5×	13	322
Sandra M. Guzmán United States	10	218 1.0×	168 1.0×	240 2.0×	43 0.6×	25 0.4×	35	445
Bahrudin Hrnjica Bosnia and Herzegovina	8	228 1.1×	167 1.0×	285 2.4×	54 0.8×	22 0.3×	15	462

Countries citing papers authored by Kichul Jung

Since Specialization

Citations

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

Fields of papers citing papers by Kichul Jung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kichul Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Kichul Jung. A scholar is included among the top collaborators of Kichul Jung 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 Kichul Jung. Kichul Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yang, Jae E. & Kichul Jung. (2025). Economic impact of flood damage based on inter-regional input–output analysis: a case of local rivers in the Nakdong River basin. Environmental Research Communications. 7(4). 41008–41008. 1 indexed citations

Kwon, Hyun‐Han, et al.. (2025). Enhancing rainfall frequency analysis through bivariate nonstationary modeling in South Korea. Environmental Modelling & Software. 190. 106471–106471.

Yang, Jie & Kichul Jung. (2025). Economic assessment of flood damage in South Korea: An object-based comparative study of national and local rivers. Environmental Impact Assessment Review. 116. 108121–108121.

Jung, Kichul, et al.. (2025). Forward-looking flood defense based on high-resolution risk assessment: Lessons from the Nakdong River Basin. Journal of Environmental Management. 376. 124526–124526. 1 indexed citations

Jung, Kichul, et al.. (2024). An Improved Aggregation–Decomposition Optimization Approach for Ecological Flow Supply in Parallel Reservoir Systems. Sustainability. 16(17). 7475–7475. 1 indexed citations

Jung, Kichul, et al.. (2023). Assessing the Suitability of the Flood Defense Policy of Republic of Korea for Risk Reduction in Local Rivers. Water. 15(22). 3908–3908. 5 indexed citations

Lee, Moon Young, Jiwan Lee, Myoung‐Jin Um, et al.. (2023). Spatiotemporal Variability of Regional Rainfall Frequencies in South Korea for Different Periods. Sustainability. 15(24). 16646–16646. 2 indexed citations

Um, Myoung‐Jin, et al.. (2022). Evaluation of drought propagations with multiple indices in the Yangtze River basin. Journal of Environmental Management. 317. 115494–115494. 44 indexed citations

Kang, Hyeongsik, Dong Jin Jeon, Soo-Hong Kim, & Kichul Jung. (2022). Estimation of fish assessment index based on ensemble artificial neural network for aquatic ecosystem in South Korea. Ecological Indicators. 136. 108708–108708. 14 indexed citations

10.

Jung, Kichul, et al.. (2022). Characterization and classification of river networks in South Korea. Environmental Modelling & Software. 156. 105495–105495. 4 indexed citations

11.

Kim, Siyeon, Jiwan Lee, Moon Young Lee, et al.. (2021). Correlation Analysis between Hydrologic Flow Metrics and Benthic Macroinvertebrates Index (BMI) in the Han River Basin, South Korea. Sustainability. 13(20). 11477–11477. 11 indexed citations

12.

Jung, Kichul, Taha B. M. J. Ouarda, & Prashanth Marpu. (2020). On the Value of River Network Information in Regional Frequency Analysis. Journal of Hydrometeorology. 22(1). 201–216. 7 indexed citations

13.

Jung, Kichul, et al.. (2020). Evaluation of Nitrate Load Estimations Using Neural Networks and Canonical Correlation Analysis with K-Fold Cross-Validation. Sustainability. 12(1). 400–400. 45 indexed citations

14.

Um, Myoung‐Jin, et al.. (2019). Impacts of potential evapotranspiration on drought phenomena in different regions and climate zones. The Science of The Total Environment. 703. 135590–135590. 36 indexed citations

15.

Jung, Kichul, Prashanth Marpu, & Taha B. M. J. Ouarda. (2017). Impact of river network type on the time of concentration. Arabian Journal of Geosciences. 10(24). 25 indexed citations

16.

Puggelli, Alberto, Hanh‐Phuc Le, Kichul Jung, et al.. (2013). BAG: A designer-oriented integrated framework for the development of AMS circuit generators. 74–81. 56 indexed citations

17.

Puggelli, Alberto, Hanh‐Phuc Le, Kichul Jung, et al.. (2013). BAG: a designer-oriented integrated framework for the development of AMS circuit generators. International Conference on Computer Aided Design. 74–81. 24 indexed citations

18.

Jeon, Jong-Min, et al.. (2007). HSPF-Paddy simulation of water flow and quality for the Saemangeum watershed in Korea. Water Science & Technology. 56(1). 123–130. 10 indexed citations

19.

Jung, Kichul, et al.. (2006). Water quality modeling to evaluate BMPs in rice paddies. Water Science & Technology. 53(2). 253–261. 2 indexed citations

20.

Arakaki, T., et al.. (2000). Biodegradation of household chemicals in river water under untreated discharge conditions. Water Science & Technology. 42(7-8). 377–382. 4 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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