Hyun‐Han Kwon
- Global and Planetary Change top 0.5%
- Water Science and Technology top 0.5%
- Atmospheric Science top 2%
- Environmental Engineering top 1%
- Ocean Engineering top 2%
- Co-authors
- Upmanu LallTae‐Woong KimDawei HanYoung‐Il MoonCarlos LimaKue Bum KimAbedalrazq F. KhalilCasey Brown
- Topics
- Hydrology and Drought Analysis (100 papers)Climate variability and models (91 papers)Hydrology and Watershed Management Studies (86 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Hyun‐Han Kwon
204 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Global and Planetary Change 2.5k
- Water Science and Technology 1.6k
- Atmospheric Science 916
- Environmental Engineering 741
- Ocean Engineering 316
Countries citing papers authored by Hyun‐Han Kwon
This map shows the geographic impact of Hyun‐Han Kwon'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 Hyun‐Han Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun‐Han Kwon more than expected).
Fields of papers citing papers by Hyun‐Han Kwon
This network shows the impact of papers produced by Hyun‐Han Kwon. 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 Hyun‐Han Kwon. The network helps show where Hyun‐Han Kwon may publish in the future.
Co-authorship network of co-authors of Hyun‐Han Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun‐Han Kwon. A scholar is included among the top collaborators of Hyun‐Han Kwon 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 Hyun‐Han Kwon. Hyun‐Han Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 36 | |
| 18 | Uncertainty Analysis of Stage-Discharge Curve Based on Bayesian Regression Model Coupled with Change-Point Analysis | 1 |
| 19 | Dynamic Nonlinear Prediction Model of Univariate Hydrologic Time Series Using the Support Vector Machine and State-Space Model | 1 |
| 20 | The Forecast of the El Niño Event by Using Singular Spectrum Analysis with the Linear Recurrent Formula | 7 |
About Hyun‐Han Kwon
Hyun‐Han Kwon is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science, having authored 238 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (100 papers), Climate variability and models (91 papers) and Hydrology and Watershed Management Studies (86 papers). The work is most often cited by research in Global and Planetary Change (2.5k citations), Water Science and Technology (1.6k citations) and Environmental Engineering (741 citations). Hyun‐Han Kwon has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Upmanu Lall, Tae‐Woong Kim, Dawei Han, Young‐Il Moon, Carlos Lima, Kue Bum Kim, Abedalrazq F. Khalil, Casey Brown, Liqiang Sun and Chandra Kiran B. Krishnamurthy. Their work appears in journals such as PLoS ONE, Journal of Hazardous Materials and Scientific Reports.
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.