Hao Cui
Impact in
- Global and Planetary Change top 5%
- Hydrology and Drought Analysis
- Climate variability and models
- Flood Risk Assessment and Management
- Plant Water Relations and Carbon Dynamics
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
-
- Climate variability and models 16
- Hydrology and Drought Analysis 13
- Flood Risk Assessment and Management 9
- Plant Water Relations and Carbon Dynamics 9
-
- Remote Sensing and LiDAR Applications 7
- Hydrological Forecasting Using AI 6
- Co-authors
- Jiahua Zhang (5 shared papers)Fengmei Yao (4 shared papers)S. S. Jiang (19 shared papers)Liliang Ren (20 shared papers)Chong‐Yu Xu (18 shared papers)Qingwu Hu (6 shared papers)Qingzhou Mao (5 shared papers)Menghao Wang (7 shared papers)
In The Last Decade
Hao Cui
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Global and Planetary Change 500
- Water Science and Technology 305
- Environmental Engineering 266
- Geology 57
- Atmospheric Science 124
Countries citing papers authored by Hao Cui
This map shows the geographic impact of Hao Cui'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 Hao Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Cui more than expected).
Fields of papers citing papers by Hao Cui
This network shows the impact of papers produced by Hao Cui. 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 Hao Cui. The network helps show where Hao Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 179 | |
| 2 | 2020 | 58 | |
| 3 | 2022 | 54 | |
| 4 | 2021 | 45 | |
| 5 | 2014 | 42 | |
| 6 | 2019 | 35 | |
| 7 | 2015 | 35 | |
| 8 | 2020 | 27 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 26 | |
| 11 | 2023 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2019 | 23 | |
| 15 | 2023 | 23 | |
| 16 | 2022 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2024 | 21 | |
| 19 | 2022 | 19 | |
| 20 | 2018 | 19 |
About Hao Cui
Hao Cui is a scholar working on Global and Planetary Change, Environmental Engineering, Water Science and Technology, Atmospheric Science and Computational Mechanics, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (22 papers), Climate variability and models (16 papers), Hydrology and Drought Analysis (13 papers), Flood Risk Assessment and Management (9 papers), Plant Water Relations and Carbon Dynamics (9 papers), Remote Sensing and LiDAR Applications (7 papers), 3D Surveying and Cultural Heritage (6 papers) and Hydrological Forecasting Using AI (6 papers). The work is most often cited by research in Global and Planetary Change (500 citations), Water Science and Technology (305 citations), Environmental Engineering (266 citations), Geology (57 citations) and Atmospheric Science (124 citations). Hao Cui has collaborated with scholars based in China, Norway and Canada. Frequent co-authors include Jiahua Zhang, Fengmei Yao, S. S. Jiang, Liliang Ren, Chong‐Yu Xu, Qingwu Hu, Qingzhou Mao, Menghao Wang, Jian Li and Yiwen Tao. Their work appears in journals such as Journal of Hydrology, Journal of Hydrology Regional Studies, The Science of The Total Environment, Water Resources Management 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.