Eun‐Sung Chung
- Global and Planetary Change top 0.2%
- Water Science and Technology top 0.5%
- Atmospheric Science top 1%
- Environmental Engineering top 0.5%
- Ocean Engineering top 0.5%
- Co-authors
- Shamsuddin ShahidKil Seong LeeYeonjoo KimTarmizi IsmailKamal AhmedMohammed Sanusi ShiruYoung Hoon SongKyung Soo Jun
- Topics
- Climate variability and models (82 papers)Hydrology and Watershed Management Studies (65 papers)Hydrology and Drought Analysis (59 papers)
- Partner nations
- South KoreaMalaysiaChina
In The Last Decade
Eun‐Sung Chung
183 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Global and Planetary Change 4.1k
- Water Science and Technology 1.9k
- Atmospheric Science 1.5k
- Environmental Engineering 1.2k
- Ocean Engineering 699
Countries citing papers authored by Eun‐Sung Chung
This map shows the geographic impact of Eun‐Sung Chung'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 Eun‐Sung Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Sung Chung more than expected).
Fields of papers citing papers by Eun‐Sung Chung
This network shows the impact of papers produced by Eun‐Sung Chung. 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 Eun‐Sung Chung. The network helps show where Eun‐Sung Chung may publish in the future.
Co-authorship network of co-authors of Eun‐Sung Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Sung Chung. A scholar is included among the top collaborators of Eun‐Sung Chung 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 Eun‐Sung Chung. Eun‐Sung Chung 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 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 0 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | 7 | |
| 15 | 214 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | A Multi-criteria Decision Analysis System for Prioritizing Sites and Types of Low Impact Development Practices | 2 |
| 19 | 101 | |
| 20 | Optimal Operation Rules for Multireservoir Systems Using Genetic Algorithm | 2 |
About Eun‐Sung Chung
Eun‐Sung Chung is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering, having authored 194 papers that have together received 6.4k indexed citations. Recurring topics across this work include Climate variability and models (82 papers), Hydrology and Watershed Management Studies (65 papers) and Hydrology and Drought Analysis (59 papers). The work is most often cited by research in Global and Planetary Change (4.1k citations), Water Science and Technology (1.9k citations) and Atmospheric Science (1.5k citations) Eun‐Sung Chung has collaborated with scholars based in South Korea, Malaysia and China. Frequent co-authors include Shamsuddin Shahid, Kil Seong Lee, Yeonjoo Kim, Tarmizi Ismail, Kamal Ahmed, Mohammed Sanusi Shiru, Young Hoon Song, Kyung Soo Jun, Jang Hyun Sung and Noraliani Alias. Their work appears in journals such as Journal of Neuroscience, The Science of The Total Environment 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.