Shih‐Chieh Kao
- Global and Planetary Change top 0.5%
- Climate variability and models 35
- Flood Risk Assessment and Management 29
- Hydrology and Drought Analysis 28
- Water Science and Technology top 0.5%
- Hydrology and Watershed Management Studies 51
- Water-Energy-Food Nexus Studies 10
- Atmospheric Science top 2%
- Meteorological Phenomena and Simulations 18
- Cryospheric studies and observations 10
- Environmental Engineering top 1%
- Ocean Engineering top 1%
- Water resources management and optimization 22
Shih‐Chieh Kao
102 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Global and Planetary Change 3.2k
- Water Science and Technology 2.0k
- Atmospheric Science 1.1k
- Environmental Engineering 683
- Ocean Engineering 423
Countries citing papers authored by Shih‐Chieh Kao
This map shows the geographic impact of Shih‐Chieh Kao'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 Shih‐Chieh Kao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Chieh Kao more than expected).
Fields of papers citing papers by Shih‐Chieh Kao
This network shows the impact of papers produced by Shih‐Chieh Kao. 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 Shih‐Chieh Kao. The network helps show where Shih‐Chieh Kao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shih‐Chieh Kao, 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 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 17 | |
| 10 | 2021 | 9 | |
| 11 | 2018 | 29 | |
| 12 | High-resolution modeling of Hurricane Harvey Flooding for Harris County, TX using a calibrated GPU-accelerated 2D Flood Model | 2018 | 2 |
| 13 | A Comparative Evaluation of Precipitation Areal Reduction Factor Variability across the Conterminous United States | 2018 | 2 |
| 14 | 2016 | 113 | |
| 15 | Extreme Hydrological Changes in the Western United States Drive Reductions in Water Supply by Mid Century | 2016 | 1 |
| 16 | 2014 | 28 | |
| 17 | 2013 | 97 | |
| 18 | Non-powered Dams: An untapped source of renewable electricity in the USA | 2012 | 1 |
| 19 | Upper Colorado River and Great Basin Streamflow and Snowpack Forecasting using Pacific Oceanic-Atmospheric Variability | 2011 | 19 |
| 20 | A Multi Agent-Based Framework for Simulating Household PHEV Distribution and Electric Distribution Network Impact | 2010 | 27 |
About Shih‐Chieh Kao
Shih‐Chieh Kao is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science, having authored 110 papers that have together received 4.3k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (51 papers), Climate variability and models (35 papers), Flood Risk Assessment and Management (29 papers), Hydrology and Drought Analysis (28 papers), Water resources management and optimization (22 papers), Meteorological Phenomena and Simulations (18 papers), Water-Energy-Food Nexus Studies (10 papers) and Cryospheric studies and observations (10 papers). The work is most often cited by research in Global and Planetary Change (3.2k citations), Water Science and Technology (2.0k citations) and Atmospheric Science (1.1k citations). Shih‐Chieh Kao has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Rao S. Govindaraju, Moetasim Ashfaq, Auroop R. Ganguly, Bibi S. Naz, Noah S. Diffenbaugh, Sudershan Gangrade, Danielle Touma, Deeksha Rastogi, Subimal Ghosh and Munir Ahmad Nayak.
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.