Heechan Han
Impact in
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
-
- Flood Risk Assessment and Management 20
- Climate variability and models 5
-
- Hydrology and Watershed Management Studies 18
- Co-authors
- Hung Soo Kim (21 shared papers)Ryan R. Morrison (3 shared papers)Jungho Kim (6 shared papers)Changhyun Choi (5 shared papers)Jaewon Jung (4 shared papers)Jungwook Kim (2 shared papers)Sanghun Lim (2 shared papers)Rob Cifelli (2 shared papers)
- Journals
- Water (10 papers)Journal of Hydrology (3 papers)Stochastic Environmental Research and Risk Assessment (2 papers)CATENA (1 paper)Atmosphere (1 paper)
- Partner nations
- South KoreaUnited StatesBrazil
In The Last Decade
Heechan Han
32 papers receiving 667 citations
Peers
Comparison fields: 5 of 49
- Environmental Engineering 416
- Water Science and Technology 380
- Global and Planetary Change 361
- Atmospheric Science 121
- Soil Science 47
Countries citing papers authored by Heechan Han
This map shows the geographic impact of Heechan 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 Heechan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heechan Han more than expected).
Fields of papers citing papers by Heechan Han
This network shows the impact of papers produced by Heechan 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 Heechan Han. The network helps show where Heechan Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Heechan Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 96 | |
| 2 | 2022 | 63 | |
| 3 | 2021 | 53 | |
| 4 | 2021 | 51 | |
| 5 | 2020 | 49 | |
| 6 | 2019 | 43 | |
| 7 | 2021 | 36 | |
| 8 | 2021 | 27 | |
| 9 | 2022 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2019 | 24 | |
| 12 | 2022 | 21 | |
| 13 | 2018 | 18 | |
| 14 | 2023 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2023 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 8 |
About Heechan Han
Heechan Han is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Atmospheric Science and Sociology and Political Science, having authored 36 papers that have together received 678 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (20 papers), Hydrology and Watershed Management Studies (18 papers), Hydrological Forecasting Using AI (16 papers), Climate variability and models (5 papers), Precipitation Measurement and Analysis (4 papers), Meteorological Phenomena and Simulations (4 papers), Water resources management and optimization (3 papers) and Disaster Management and Resilience (3 papers). The work is most often cited by research in Environmental Engineering (416 citations), Water Science and Technology (380 citations), Global and Planetary Change (361 citations), Atmospheric Science (121 citations) and Soil Science (47 citations). Heechan Han has collaborated with scholars based in South Korea, United States and Brazil. Frequent co-authors include Hung Soo Kim, Ryan R. Morrison, Jungho Kim, Changhyun Choi, Jaewon Jung, Jungwook Kim, Sanghun Lim, Rob Cifelli, Lynn E. Johnson and Haonan Chen. Their work appears in journals such as Water, Journal of Hydrology, Stochastic Environmental Research and Risk Assessment, CATENA and Atmosphere.
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.