Suning Liu
- Global and Planetary Change top 2%
- Climate variability and models 16
- Hydrology and Drought Analysis 16
- Flood Risk Assessment and Management 9
- Plant Water Relations and Carbon Dynamics 6
- Water Science and Technology top 2%
- Hydrology and Watershed Management Studies 24
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI 7
- Atmospheric Science top 10%
- Soil Science top 10%
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- Soil and Water Nutrient Dynamics 4
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- Climate change impacts on agriculture 4
- Journals
- Journal of Hydrology (6 papers)Environmental Research Letters (3 papers)Water Resources Management (3 papers)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Suning Liu
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 72
- Global and Planetary Change 959
- Water Science and Technology 549
- Environmental Engineering 249
- Atmospheric Science 220
- Soil Science 80
Countries citing papers authored by Suning Liu
This map shows the geographic impact of Suning 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 Suning Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suning Liu more than expected).
Fields of papers citing papers by Suning Liu
This network shows the impact of papers produced by Suning 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 Suning Liu. The network helps show where Suning Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suning 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 66 | |
| 8 | 2022 | 61 | |
| 9 | 2022 | 48 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 148 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 91 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 137 | |
| 19 | 2019 | 58 | |
| 20 | 2018 | 8 |
About Suning Liu
Suning Liu is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (24 papers), Climate variability and models (16 papers), Hydrology and Drought Analysis (16 papers), Flood Risk Assessment and Management (9 papers), Hydrological Forecasting Using AI (7 papers), Plant Water Relations and Carbon Dynamics (6 papers), Soil and Water Nutrient Dynamics (4 papers) and Climate change impacts on agriculture (4 papers). The work is most often cited by research in Global and Planetary Change (959 citations), Water Science and Technology (549 citations) and Environmental Engineering (249 citations). Suning Liu has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Haiyun Shi, Zhaoqiang Zhou, Qiang Fu, Tianxiao Li, Yibo Ding, Hejiang Cai, Yao Wang, Bellie Sivakumar, Vladan Babovic and Thian Yew Gan. Their work appears in journals such as Journal of Hydrology, Environmental Research Letters, Water Resources Management, Geoscience Letters and Water Resources Research.
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.