Kyung Soo Jun

848 total citations
51 papers, 668 citations indexed

About

Kyung Soo Jun is a scholar working on Water Science and Technology, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Kyung Soo Jun has authored 51 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Water Science and Technology, 29 papers in Global and Planetary Change and 11 papers in Ocean Engineering. Recurrent topics in Kyung Soo Jun's work include Hydrology and Watershed Management Studies (23 papers), Flood Risk Assessment and Management (22 papers) and Hydrology and Sediment Transport Processes (9 papers). Kyung Soo Jun is often cited by papers focused on Hydrology and Watershed Management Studies (23 papers), Flood Risk Assessment and Management (22 papers) and Hydrology and Sediment Transport Processes (9 papers). Kyung Soo Jun collaborates with scholars based in South Korea, United States and Hong Kong. Kyung Soo Jun's co-authors include ‪Eun‐Sung Chung, Gyumin Lee, Kil Seong Lee, Yeonjoo Kim, Young-Gyu Kim, Li Li, Jin Soo Kim, Younghyun Cho, Subhash C. Jain and Minwoo Son and has published in prestigious journals such as The Science of The Total Environment, Expert Systems with Applications and Sustainability.

In The Last Decade

Kyung Soo Jun

46 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyung Soo Jun South Korea	11	367	285	126	115	87	51	668
Graeme Riddell Netherlands	6	372 1.0×	133 0.5×	147 1.2×	76 0.7×	76 0.9×	9	707
Ahmad Abrishamchi Iran	12	250 0.7×	432 1.5×	287 2.3×	184 1.6×	79 0.9×	35	798
Azhar Inam Canada	12	227 0.6×	189 0.7×	135 1.1×	102 0.9×	36 0.4×	25	549
Lingling Bin China	14	540 1.5×	267 0.9×	81 0.6×	141 1.2×	218 2.5×	33	843
Farhad Yazdandoost Iran	16	470 1.3×	289 1.0×	99 0.8×	164 1.4×	142 1.6×	31	724
Marjolein Mens Netherlands	13	562 1.5×	186 0.7×	133 1.1×	63 0.5×	119 1.4×	30	765
Sergei Schreider Australia	18	481 1.3×	542 1.9×	280 2.2×	173 1.5×	127 1.5×	60	993
Amgad Elmahdi Australia	14	478 1.3×	494 1.7×	353 2.8×	308 2.7×	108 1.2×	60	1.1k
Arthur Hrast Essenfelder Italy	14	282 0.8×	201 0.7×	149 1.2×	85 0.7×	102 1.2×	28	583
G. Betrie Canada	12	377 1.0×	540 1.9×	106 0.8×	193 1.7×	42 0.5×	16	828

Countries citing papers authored by Kyung Soo Jun

Since Specialization

Citations

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

Fields of papers citing papers by Kyung Soo Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung Soo Jun. 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 Kyung Soo Jun. The network helps show where Kyung Soo Jun may publish in the future.

Co-authorship network of co-authors of Kyung Soo Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung Soo Jun. A scholar is included among the top collaborators of Kyung Soo Jun 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 Kyung Soo Jun. Kyung Soo Jun 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

Jun, Kyung Soo, et al.. (2025). Deep Reinforcement Learning for Optimized Reservoir Operation and Flood Risk Mitigation. Water. 17(22). 3226–3226.

Jun, Kyung Soo, et al.. (2024). Review of Machine Learning Methods for River Flood Routing. Water. 16(2). 364–364. 4 indexed citations

Jun, Kyung Soo, et al.. (2024). Drought Quantification in Africa Using Remote Sensing, Gaussian Kernel, and Machine Learning. Water. 16(18). 2656–2656. 4 indexed citations

Cho, Younghyun, et al.. (2021). Flood Mapping from Dam Break Due to Peak Inflow: A Coupled Rainfall–Runoff and Hydraulic Models Approach. Hydrology. 8(2). 89–89. 24 indexed citations

Jun, Kyung Soo, et al.. (2021). Performance Assessment for Short-Term Water Demand Forecasting Models on Distinctive Water Uses in Korea. Sustainability. 13(11). 6056–6056. 14 indexed citations

Lee, Gyumin, et al.. (2020). A Study on the Prediction of Daily Snowmelt Depth using Multiple Linear Regression. Korean Society of Hazard Mitigation. 20(6). 311–321. 2 indexed citations

Lee, Gyumin, et al.. (2019). Framework to prioritize watersheds for diffuse pollution managementin Korea: application of multicriteria analysis using the Delphimethod. 1 indexed citations

Lee, Gyumin, et al.. (2019). Framework to prioritize watersheds for diffuse pollution management in the Republic of Korea: application of multi-criteria analysis using the Delphi method. Natural hazards and earth system sciences. 19(12). 2767–2779. 8 indexed citations

Li, Li & Kyung Soo Jun. (2018). Distributed parameter unsteady flow model for the Han River. Journal of Hydro-environment Research. 21. 86–95. 4 indexed citations

10.

Lee, Gyumin, et al.. (2016). Multi-Criteria Surge Vulnerability Assessment with Long-term Reanalysis. Journal of Coastal Research. 75(sp1). 1172–1176. 3 indexed citations

11.

Jun, Kyung Soo, et al.. (2015). Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method. Natural hazards and earth system sciences. 15(4). 863–874. 43 indexed citations

12.

Lee, Joseph Hun‐wei & Kyung Soo Jun. (2014). Editor's note for 32nd issue. Journal of Hydro-environment Research. 8(4). 329–329. 1 indexed citations

13.

Lee, Gyumin, Kyung Soo Jun, & ‪Eun‐Sung Chung. (2013). Robust spatial flood vulnerability assessment for Han River using fuzzy TOPSIS with α-cut level set. Expert Systems with Applications. 41(2). 644–654. 58 indexed citations

14.

Jun, Kyung Soo, ‪Eun‐Sung Chung, Young-Gyu Kim, & Yeonjoo Kim. (2012). A fuzzy multi-criteria approach to flood risk vulnerability in South Korea by considering climate change impacts. Expert Systems with Applications. 40(4). 1003–1013. 98 indexed citations

15.

Jun, Kyung Soo, et al.. (2011). Development of spatial water resources vulnerability index considering climate change impacts. The Science of The Total Environment. 409(24). 5228–5242. 108 indexed citations

16.

Jun, Kyung Soo, et al.. (2010). Frequency Analysis of Partial Duration Series for Flood Discharge of Rivers. 174–178. 1 indexed citations

17.

Yoo, Chulsang, et al.. (2008). Analysis of Rainfall Spatial Correlation Structure Using Minutely Data. 8(6). 113–120. 1 indexed citations

18.

Yoo, Chulsang, et al.. (2004). Estimation of Orographic Effect on Precipitation in the Han River Basin - I. Regression Analysis -. 24. 33–39. 3 indexed citations

19.

Yoo, Chulsang, et al.. (2004). Orographic Effect Estimation of Rainfall in Han River Basin - 3. Regionalization-. Journal of the Korean Society of Civil Engineers. 24. 461–468. 1 indexed citations

20.

Kim, Han‐Joon & Kyung Soo Jun. (2004). Unsteady Flow Model with Variable Roughness Coefficient. Journal of Korea Water Resources Association. 37(12). 1055–1063. 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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