Kuai Fang
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI 5
- Soil Moisture and Remote Sensing 4
- Groundwater flow and contamination studies 3
- Water Science and Technology top 2%
- Hydrology and Watershed Management Studies 10
- Global and Planetary Change top 5%
- Flood Risk Assessment and Management 4
- Atmospheric Science top 10%
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- Landslides and related hazards 3
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- Soil and Unsaturated Flow 3
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- Geophysics and Gravity Measurements 2
- Journals
- Water Resources Research (4 papers)Computer Speech & Language (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Kuai Fang
15 papers receiving 645 citations
Peers
Comparison fields: 5 of 53
- Environmental Engineering 464
- Water Science and Technology 406
- Global and Planetary Change 307
- Atmospheric Science 134
- Management, Monitoring, Policy and Law 48
Countries citing papers authored by Kuai Fang
This map shows the geographic impact of Kuai Fang'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 Kuai Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuai Fang more than expected).
Fields of papers citing papers by Kuai Fang
This network shows the impact of papers produced by Kuai Fang. 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 Kuai Fang. The network helps show where Kuai Fang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kuai Fang, 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 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 86 | |
| 6 | 2020 | 112 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 4 | |
| 10 | 2018 | 5 | |
| 11 | 2018 | 187 | |
| 12 | 2018 | 116 | |
| 13 | 2017 | 3 | |
| 14 | 2017 | 36 | |
| 15 | 2016 | 26 | |
| 16 | 2016 | 33 | |
| 17 | 2014 | 31 |
About Kuai Fang
Kuai Fang is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Management, Monitoring, Policy and Law and Oceanography, having authored 17 papers that have together received 653 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (10 papers), Hydrological Forecasting Using AI (5 papers), Soil Moisture and Remote Sensing (4 papers), Flood Risk Assessment and Management (4 papers), Soil and Unsaturated Flow (3 papers), Landslides and related hazards (3 papers), Groundwater flow and contamination studies (3 papers) and Geophysics and Gravity Measurements (2 papers). The work is most often cited by research in Environmental Engineering (464 citations), Water Science and Technology (406 citations), Global and Planetary Change (307 citations), Atmospheric Science (134 citations) and Management, Monitoring, Policy and Law (48 citations). Kuai Fang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Chaopeng Shen, Ming Pan, Daniel Kifer, Kathryn Lawson, Jie Niu, Dapeng Feng, Wen‐Ping Tsai, Eric Laloy, Zheng Fang and Fi‐John Chang. Their work appears in journals such as Water Resources Research, Computer Speech & Language, IEEE Sensors Journal, Journal of Hydrometeorology and Advances in Water Resources.
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.