Kun Yeun Han
- Global and Planetary Change top 10%
- Environmental Engineering top 10%
- Water Science and Technology top 10%
- Atmospheric Science
- Computer Vision and Pattern Recognition
- Topics
- Flood Risk Assessment and Management (19 papers)Hydrology and Watershed Management Studies (15 papers)Hydrological Forecasting Using AI (11 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Kun Yeun Han
45 papers receiving 281 citations
Peers
Comparison fields: 5 of 69
- Global and Planetary Change 187
- Environmental Engineering 124
- Water Science and Technology 108
- Atmospheric Science 58
- Computer Vision and Pattern Recognition 29
Countries citing papers authored by Kun Yeun Han
This map shows the geographic impact of Kun Yeun Han'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 Kun Yeun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yeun Han more than expected).
Fields of papers citing papers by Kun Yeun Han
This network shows the impact of papers produced by Kun Yeun Han. 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 Kun Yeun Han. The network helps show where Kun Yeun Han may publish in the future.
Co-authorship network of co-authors of Kun Yeun Han
This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yeun Han. A scholar is included among the top collaborators of Kun Yeun Han 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 Kun Yeun Han. Kun Yeun Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | Parameter Optimization Analysis in Urban Flood Simulation by Applying 1D-2D Coupled Hydraulic Model | 4 |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Flood Risk Mapping with FLUMEN model Application | 5 |
| 18 | Development of Urban Flood Analysis Model Adopting the Unstructured Computational Grid | 1 |
| 19 | Development of Urban Inundation Analysis Model Using Dual-Drainage Concept | 3 |
| 20 | Runoff Analysis due to Moving Storms based on the Basin Shapes(I) - for the Symmetric Basin Shape - | 1 |
About Kun Yeun Han
Kun Yeun Han is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 49 papers that have together received 302 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (19 papers), Hydrology and Watershed Management Studies (15 papers) and Hydrological Forecasting Using AI (11 papers). The work is most often cited by research in Global and Planetary Change (187 citations), Environmental Engineering (124 citations) and Water Science and Technology (108 citations). Kun Yeun Han has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Hyun Il Kim, Won‐Hwa Hong, Xiaohui Xie, Xiangyi Yan, Junhyung Park, Shanlin Sun, Hao Tang, Deying Kong, Byunghyun Kim and J.D. Embury. Their work appears in journals such as Scientific Reports, Journal of Hydrology and Sensors.
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.