Saiyan Liu
- Global and Planetary Change top 5%
- Hydrology and Drought Analysis 12
- Climate variability and models 8
- Flood Risk Assessment and Management 4
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies 13
- Water-Energy-Food Nexus Studies 3
- Soil Science top 10%
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations 3
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI 6
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- Water resources management and optimization 5
- Journals
- The Science of The Total Environment (1 paper)Journal of Cleaner Production (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Saiyan Liu
24 papers receiving 631 citations
Peers
Comparison fields: 5 of 58
- Global and Planetary Change 479
- Water Science and Technology 300
- Soil Science 70
- Atmospheric Science 125
- Environmental Engineering 74
Countries citing papers authored by Saiyan Liu
This map shows the geographic impact of Saiyan Liu'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 Saiyan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiyan Liu more than expected).
Fields of papers citing papers by Saiyan Liu
This network shows the impact of papers produced by Saiyan Liu. 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 Saiyan Liu. The network helps show where Saiyan Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saiyan Liu, 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 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 57 | |
| 14 | 2018 | 31 | |
| 15 | 2018 | 37 | |
| 16 | 2017 | 97 | |
| 17 | 2017 | 34 | |
| 18 | Detection of basin runoff variation based on moving correlation coefficient method | 2016 | 2 |
| 19 | 2016 | 19 | |
| 20 | 2016 | 84 |
About Saiyan Liu
Saiyan Liu is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 25 papers that have together received 636 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (13 papers), Hydrology and Drought Analysis (12 papers), Climate variability and models (8 papers), Hydrological Forecasting Using AI (6 papers), Water resources management and optimization (5 papers), Flood Risk Assessment and Management (4 papers), Meteorological Phenomena and Simulations (3 papers) and Water-Energy-Food Nexus Studies (3 papers). The work is most often cited by research in Global and Planetary Change (479 citations), Water Science and Technology (300 citations) and Soil Science (70 citations). Saiyan Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guoyong Leng, Yangyang Xie, Shengzhi Huang, Qiang Huang, Qiang Huang, Hao Wang, Lu Wang, Shengzhi Huang, Wei Xiu and Qi Xue. Their work appears in journals such as The Science of The Total Environment, Journal of Cleaner Production and Scientific Reports.
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.