Sang Ug Kim
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies 7
- Global and Planetary Change top 10%
- Hydrology and Drought Analysis 10
- Climate variability and models 6
- Flood Risk Assessment and Management 3
- Ocean Engineering top 10%
- Water resources management and optimization 6
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- Probabilistic and Robust Engineering Design 2
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- Hydrological Forecasting Using AI 3
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- Innovations in Concrete and Construction Materials 1
- Co-authors
- Eun‐Sung ChungKil Seong LeeYeonjoo KimSangho LeeMinwoo SonMohammed Sanusi ShiruXiao YuJang Hyun Sung
- Cited by
- Water Science and TechnologyGlobal and Planetary ChangeManagement Science and Operations Research
- Journals
- Construction and Building Materials (1 paper)AIChE Journal (1 paper)Resources Conservation and Recycling (1 paper)
- Partner nations
- South KoreaUnited StatesNigeria
In The Last Decade
Sang Ug Kim
21 papers receiving 334 citations
Peers
Comparison fields: 5 of 75
- Water Science and Technology 148
- Global and Planetary Change 163
- Management Science and Operations Research 59
- Ocean Engineering 65
- Statistics, Probability and Uncertainty 27
Countries citing papers authored by Sang Ug Kim
This map shows the geographic impact of Sang Ug Kim'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 Sang Ug Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Ug Kim more than expected).
Fields of papers citing papers by Sang Ug Kim
This network shows the impact of papers produced by Sang Ug Kim. 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 Sang Ug Kim. The network helps show where Sang Ug Kim may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Sang Ug Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2022 | 13 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 6 | |
| 5 | 2019 | 7 | |
| 6 | 2018 | 4 | |
| 7 | 2017 | 17 | |
| 8 | 2017 | 21 | |
| 9 | 2016 | 1 | |
| 10 | 2015 | 3 | |
| 11 | 2014 | 4 | |
| 12 | 2014 | 2 | |
| 13 | 2013 | 9 | |
| 14 | 2013 | 6 | |
| 15 | 2013 | 13 | |
| 16 | 2013 | 6 | |
| 17 | 2013 | 2 | |
| 18 | 2009 | 21 | |
| 19 | 2009 | 14 | |
| 20 | 2007 | 52 |
About Sang Ug Kim
Sang Ug Kim is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering, having authored 22 papers that have together received 352 indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (10 papers), Hydrology and Watershed Management Studies (7 papers), Water resources management and optimization (6 papers), Climate variability and models (6 papers), Hydrological Forecasting Using AI (3 papers), Flood Risk Assessment and Management (3 papers), Probabilistic and Robust Engineering Design (2 papers) and Innovations in Concrete and Construction Materials (1 paper). The work is most often cited by research in Water Science and Technology (148 citations), Global and Planetary Change (163 citations) and Management Science and Operations Research (59 citations). Sang Ug Kim has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Eun‐Sung Chung, Kil Seong Lee, Yeonjoo Kim, Sangho Lee, Minwoo Son, Mohammed Sanusi Shiru, Xiao Yu, Jang Hyun Sung, Woo Seok Lee and Gunwoo Kim. Their work appears in journals such as Construction and Building Materials, AIChE Journal and Resources Conservation and Recycling.
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.