Jeong Eun Lee
- Plant Science top 10%
- Global and Planetary Change top 10%
- Water Science and Technology top 5%
- Environmental Engineering top 10%
- Molecular Biology
- Co-authors
- Sowbiya MuneerEun Young KimNam Won KimJeongwoo LeeMirye ParkTaek‐Kyun LeeJinik HwangSung‐Suk Suh
- Topics
- Hydrology and Watershed Management Studies (25 papers)Hydrological Forecasting Using AI (14 papers)Flood Risk Assessment and Management (11 papers)
- Partner nations
- South KoreaAlgeriaIraq
In The Last Decade
Jeong Eun Lee
25 papers receiving 654 citations
Peers
Comparison fields: 5 of 77
- Plant Science 259
- Global and Planetary Change 180
- Water Science and Technology 178
- Environmental Engineering 132
- Molecular Biology 115
Countries citing papers authored by Jeong Eun Lee
This map shows the geographic impact of Jeong Eun Lee'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 Jeong Eun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong Eun Lee more than expected).
Fields of papers citing papers by Jeong Eun Lee
This network shows the impact of papers produced by Jeong Eun Lee. 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 Jeong Eun Lee. The network helps show where Jeong Eun Lee may publish in the future.
Co-authorship network of co-authors of Jeong Eun Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jeong Eun Lee. A scholar is included among the top collaborators of Jeong Eun Lee 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 Jeong Eun Lee. Jeong Eun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 83 | |
| 10 | 27 | |
| 11 | Application of flood-intensity-duration curve, rainfall-intensity-duration curve and time of concentration to analyze the pattern of storms and their corresponding floods for the natural flood events | 1 |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 132 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 32 | |
| 20 | Catchment Response and Parameters of Clark Model | 0 |
About Jeong Eun Lee
Jeong Eun Lee is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 32 papers that have together received 693 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (25 papers), Hydrological Forecasting Using AI (14 papers) and Flood Risk Assessment and Management (11 papers). The work is most often cited by research in Water Science and Technology (178 citations), Aquatic Science (74 citations) and Environmental Engineering (132 citations). Jeong Eun Lee has collaborated with scholars based in South Korea, Algeria and Iraq. Frequent co-authors include Sowbiya Muneer, Eun Young Kim, Nam Won Kim, Jeongwoo Lee, Mirye Park, Taek‐Kyun Lee, Jinik Hwang, Sung‐Suk Suh, Sang Hyun Moh and Hyeon-Jun Kim. Their work appears in journals such as International Journal of Molecular Sciences, Hydrological Processes and Marine Drugs.
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.