Sun‐Kwon Yoon

424 total citations
46 papers, 292 citations indexed

About

Sun‐Kwon Yoon is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Sun‐Kwon Yoon has authored 46 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Global and Planetary Change, 22 papers in Atmospheric Science and 19 papers in Water Science and Technology. Recurrent topics in Sun‐Kwon Yoon's work include Climate variability and models (22 papers), Hydrology and Watershed Management Studies (19 papers) and Flood Risk Assessment and Management (14 papers). Sun‐Kwon Yoon is often cited by papers focused on Climate variability and models (22 papers), Hydrology and Watershed Management Studies (19 papers) and Flood Risk Assessment and Management (14 papers). Sun‐Kwon Yoon collaborates with scholars based in South Korea, China and United States. Sun‐Kwon Yoon's co-authors include Jong‐Suk Kim, Young‐Il Moon, Taesam Lee, Shaleen Jain, Taha B. M. J. Ouarda, Joo‐Heon Lee, Jinyoung Rhee, Jaepil Cho, Lihua Xiong and Jie Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and International Journal of Climatology.

In The Last Decade

Sun‐Kwon Yoon

41 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun‐Kwon Yoon South Korea 10 215 108 105 91 33 46 292
Ehsan Foroumandi United States 11 166 0.8× 69 0.6× 105 1.0× 103 1.1× 56 1.7× 16 312
Sanaa Hobeichi Australia 13 275 1.3× 133 1.2× 125 1.2× 64 0.7× 49 1.5× 29 372
Dong-Sin Shih Taiwan 10 197 0.9× 145 1.3× 128 1.2× 104 1.1× 18 0.5× 30 318
Balaji Rajagopalan United States 9 231 1.1× 177 1.6× 123 1.2× 55 0.6× 30 0.9× 18 381
Kazi Ali Tamaddun United States 9 257 1.2× 78 0.7× 184 1.8× 114 1.3× 29 0.9× 16 348
Feifei Yuan China 14 335 1.6× 217 2.0× 154 1.5× 128 1.4× 30 0.9× 27 448
Wenhuan Wu China 10 207 1.0× 141 1.3× 79 0.8× 38 0.4× 33 1.0× 18 341
Nishan Kumar Biswas United States 10 183 0.9× 78 0.7× 131 1.2× 60 0.7× 26 0.8× 23 267
Ruqayah Mohammed Iraq 12 221 1.0× 49 0.5× 123 1.2× 69 0.8× 12 0.4× 27 328

Countries citing papers authored by Sun‐Kwon Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Kwon Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Kwon Yoon. 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 Sun‐Kwon Yoon. The network helps show where Sun‐Kwon Yoon may publish in the future.

Co-authorship network of co-authors of Sun‐Kwon Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sun‐Kwon Yoon. A scholar is included among the top collaborators of Sun‐Kwon Yoon 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 Sun‐Kwon Yoon. Sun‐Kwon Yoon 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, Jong‐Suk, et al.. (2024). Mitigating urban flood Hazards: Hybrid strategy of structural measures. International Journal of Disaster Risk Reduction. 108. 104542–104542. 16 indexed citations
2.
Yoon, Sun‐Kwon, et al.. (2024). Assessing future urban flood hazard: A comprehensive approach to estimating the implications of future rainfall scenarios. Journal of Flood Risk Management. 17(3). 2 indexed citations
3.
Yoon, Sun‐Kwon, et al.. (2023). Flooding time nomograph for urban river flood prediction: Case study of Dorim stream basin, Seoul. Journal of Flood Risk Management. 16(2). 5 indexed citations
4.
Kim, Seoyoung C., et al.. (2023). The Definition of Perennial Streams Based on a Wet Channel Network Extracted from LiDAR Data. Applied Sciences. 13(2). 704–704. 3 indexed citations
5.
Kim, Joong Hoon, et al.. (2022). Development of a Revised Multi-Layer Perceptron Model for Dam Inflow Prediction. Water. 14(12). 1878–1878. 10 indexed citations
6.
Xie, Kun, Hua Chen, Jong‐Suk Kim, et al.. (2021). Exploring and Predicting the Individual, Combined, and Synergistic Impact of Land-Use Change and Climate Change on Streamflow, Sediment, and Total Phosphorus Loads. Frontiers in Environmental Science. 9. 8 indexed citations
7.
Rhee, Jinyoung, et al.. (2020). Detecting hydrological droughts in ungauged areas from remotely sensed hydro-meteorological variables using rule-based models. Natural Hazards. 103(3). 2961–2988. 10 indexed citations
8.
9.
Yoon, Sun‐Kwon, et al.. (2018). Development of a Storage Level and Capacity Monitoring and Forecasting Techniques in Yongdam Dam Basin Using High Resolution Satellite Image. National Remote Sensing Bulletin. 34(6). 1041–1053. 2 indexed citations
10.
Yoon, Sun‐Kwon, et al.. (2018). Non-Stationary Frequency Analysis of Future Extreme Rainfall using CMIP5 GCMs over the Korean Peninsula. Korean Society of Hazard Mitigation. 18(3). 73–86. 1 indexed citations
11.
Yoon, Sun‐Kwon, et al.. (2017). Analysis of Future Extreme Rainfall Under Climate Change Over the Landslide Risk Zone in Urban Areas. Korean Society of Hazard Mitigation. 17(5). 355–367. 5 indexed citations
12.
Yoon, Sun‐Kwon, et al.. (2016). Analysis of Extreme Rainfall Distribution Scenarios over the Landslide High Risk Zones in Urban Areas. Journal of The Korean Society of Agricultural Engineers. 58(3). 57–69. 2 indexed citations
13.
Yoon, Sun‐Kwon & Jaepil Cho. (2015). The Uncertainty of Extreme Rainfall in the Near Future and its Frequency Analysis over the Korean Peninsula using CMIP5 GCMs. Journal of Korea Water Resources Association. 48(10). 817–830. 8 indexed citations
14.
Kim, Jong‐Suk, et al.. (2015). Changes in Typhoon Activities and Regional Precipitation Variability over the Korean Peninsula according to Different Phases of El Niño. Advances in Meteorology. 2015. 1–8. 2 indexed citations
15.
Kim, Tae‐Jeong, Hyun‐Han Kwon, Dong-Ryul Lee, & Sun‐Kwon Yoon. (2014). Development of Stochastic Downscaling Method for Rainfall Data Using GCM. Journal of Korea Water Resources Association. 47(9). 825–838. 5 indexed citations
16.
Yoon, Sun‐Kwon, Jong‐Suk Kim, & Young‐Il Moon. (2012). A Study on Optimal Time Distribution of Extreme Rainfall Using Minutely Rainfall Data: A Case Study of Seoul. Journal of Korea Water Resources Association. 45(3). 275–290. 6 indexed citations
17.
Kim, Jong‐Suk, Sun‐Kwon Yoon, & Joo‐Heon Lee. (2012). Impacts of Two Types of El Niño on Hydrologic Variability in Annual Maximum Flow and Low Flow in the Han River Basin. Journal of Korea Water Resources Association. 45(10). 969–981.
18.
Moon, Young‐Il, et al.. (2010). Probability Precipitation Estimates According to the Date Periods and Characteristics Analysis of Rainfall Events Above Threshold. 1541–1545.
19.
Yoon, Sun‐Kwon, et al.. (2010). Application to Evaluation of Hydrological Time Series Forecasting for Long-Term Runoff Simulation. EGU General Assembly Conference Abstracts. 14586. 2 indexed citations
20.
Moon, Young‐Il, Sun‐Kwon Yoon, Jong‐Suk Kim, & Jae-Hyun Ahn. (2006). A Study on the Change of Runoff Characteristics due to the Urbanization. 730–734. 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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2026