Sun‐Kwon Yoon

424 citations
46 papers · 292 · h-index 10

Impact in

Papers in

    • Climate variability and models 22
    • Flood Risk Assessment and Management 14
    • Hydrology and Drought Analysis 11
    • Tropical and Extratropical Cyclones Research 11
    • Meteorological Phenomena and Simulations 8
    • Precipitation Measurement and Analysis 5

Sun‐Kwon Yoon

41 papers receiving 272 citations

Peers

Sun‐Kwon Yoon
Comparison fields: 5 of 38
  • Global and Planetary Change 215
  • Water Science and Technology 105
  • Environmental Engineering 91
  • Atmospheric Science 108
  • Oceanography 33
Replace Zhen Hong with:
Zhen Hong United States
Kehan Yang United States
Qi Tang Germany
Ehsan Foroumandi United States
Wenhuan Wu China
Nishan Kumar Biswas United States
Patricia M. Lawston United States
Mariapia Faruolo Italy
E. P. Rao India
Sun‐Kwon Yoon relative to Zhen Hong United States Zhen Hong's profile →
Citations per field
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Zhen Hong · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sun‐Kwon Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sun‐Kwon Yoon Line = papers co-authored together Sun‐Kwon Yoon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201130
2 202327
3 201721
4 202416
5 201816
6 202314
7 201314
8 202010
9 202210
10 20159
11 20218
12 20158
13 20238
14 20157
15 20207
16 20167
17 20126
18 20235
19 20175
20 20135

About Sun‐Kwon Yoon

Sun‐Kwon Yoon is a scholar working on Global and Planetary Change, Atmospheric Science, Water Science and Technology, Environmental Engineering and Oceanography, having authored 46 papers that have together received 292 indexed citations. Recurring topics across this work include Climate variability and models (22 papers), Hydrology and Watershed Management Studies (19 papers), Flood Risk Assessment and Management (14 papers), Tropical and Extratropical Cyclones Research (11 papers), Hydrology and Drought Analysis (11 papers), Hydrological Forecasting Using AI (9 papers), Meteorological Phenomena and Simulations (8 papers) and Precipitation Measurement and Analysis (5 papers). The work is most often cited by research in Global and Planetary Change (215 citations), Water Science and Technology (105 citations), Environmental Engineering (91 citations), Atmospheric Science (108 citations) and Oceanography (33 citations). Sun‐Kwon Yoon has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Jong‐Suk Kim, Young‐Il Moon, Taesam Lee, Shaleen Jain, Taha B. M. J. Ouarda, Jie Chen, Jaepil Cho, Joo‐Heon Lee, Jinyoung Rhee and Lihua Xiong. Their work appears in journals such as Water, Applied Sciences, Remote Sensing, International Journal of Climatology and Journal of Flood Risk Management.

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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