Wei Fang
- Global and Planetary Change top 1%
- Hydrology and Drought Analysis 28
- Climate variability and models 20
- Flood Risk Assessment and Management 9
- Plant Water Relations and Carbon Dynamics 6
- Water Science and Technology top 0.5%
- Hydrology and Watershed Management Studies 19
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI 12
- Atmospheric Science top 5%
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- Hydrocarbon exploration and reservoir analysis 7
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- Water resources management and optimization 6
- Journals
- The Science of The Total Environment (3 papers)Remote Sensing of Environment (1 paper)Journal of Cleaner Production (3 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Wei Fang
62 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 99
- Global and Planetary Change 2.0k
- Water Science and Technology 1.2k
- Environmental Engineering 505
- Energy Engineering and Power Technology 75
- Atmospheric Science 331
Countries citing papers authored by Wei Fang
This map shows the geographic impact of Wei 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 Wei Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Fang more than expected).
Fields of papers citing papers by Wei Fang
This network shows the impact of papers produced by Wei 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 Wei Fang. The network helps show where Wei Fang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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 | 2025 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 24 | |
| 9 | 2022 | 46 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 43 | |
| 12 | 2020 | 87 | |
| 13 | 2020 | 50 | |
| 14 | 2020 | 135 | |
| 15 | 2020 | 220 | |
| 16 | 2018 | 4 | |
| 17 | Characteristics of Geological Hazards Caused by Mining and its Preventive Measures in Jiaocheng County,Shanxi Province | 2007 | 1 |
| 18 | 2007 | 20 | |
| 19 | Decision support system of debris flow mitigation for mountain towns | 2002 | 1 |
| 20 | Method and Implementation of Sharing Information of Debris Flow Disasters | 2002 | 1 |
About Wei Fang
Wei Fang is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering, having authored 65 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (28 papers), Climate variability and models (20 papers), Hydrology and Watershed Management Studies (19 papers), Hydrological Forecasting Using AI (12 papers), Flood Risk Assessment and Management (9 papers), Hydrocarbon exploration and reservoir analysis (7 papers), Water resources management and optimization (6 papers) and Plant Water Relations and Carbon Dynamics (6 papers). The work is most often cited by research in Global and Planetary Change (2.0k citations), Water Science and Technology (1.2k citations) and Environmental Engineering (505 citations). Wei Fang has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Shengzhi Huang, Guoyong Leng, Hao Wang, Qiang Huang, Qiang Huang, Yi Guo, Shengzhi Huang, Lu Wang, Guohe Huang and Erhao Meng. Their work appears in journals such as The Science of The Total Environment, Remote Sensing of Environment and Journal of Cleaner Production.
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.