Leizhi Wang
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies 17
- Global and Planetary Change top 10%
- Flood Risk Assessment and Management 12
- Hydrology and Drought Analysis 9
- Climate variability and models 7
- Atmospheric Science top 10%
- Precipitation Measurement and Analysis 6
- Cryospheric studies and observations 3
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI 6
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- Water resources management and optimization 4
- Co-authors
- Yintang WangQingfang HuLingjie LiYong HuangZhe LiZhenduo ZhuChen LiaoYu Guan
- Journals
- SHILAP Revista de lepidopterología (1 paper)The Science of The Total Environment (1 paper)Journal of Hydrology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Leizhi Wang
24 papers receiving 296 citations
Peers
Comparison fields: 5 of 52
- Water Science and Technology 134
- Global and Planetary Change 192
- Atmospheric Science 128
- Environmental Engineering 75
- Industrial and Manufacturing Engineering 11
Countries citing papers authored by Leizhi Wang
This map shows the geographic impact of Leizhi Wang'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 Leizhi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leizhi Wang more than expected).
Fields of papers citing papers by Leizhi Wang
This network shows the impact of papers produced by Leizhi Wang. 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 Leizhi Wang. The network helps show where Leizhi Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leizhi Wang, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 0 | |
| 16 | 2020 | 46 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 3 | |
| 19 | Changes and cause analysis of water level characteristic factors in Taihu Lake during period from 1954 to 2013 | 2016 | 3 |
| 20 | Precipitation spatial estimation based on generalized additive model and its preliminary application | 2016 | 1 |
About Leizhi Wang
Leizhi Wang is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 31 papers that have together received 301 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (17 papers), Flood Risk Assessment and Management (12 papers), Hydrology and Drought Analysis (9 papers), Climate variability and models (7 papers), Hydrological Forecasting Using AI (6 papers), Precipitation Measurement and Analysis (6 papers), Water resources management and optimization (4 papers) and Cryospheric studies and observations (3 papers). The work is most often cited by research in Water Science and Technology (134 citations), Global and Planetary Change (192 citations) and Atmospheric Science (128 citations). Leizhi Wang has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Yintang Wang, Qingfang Hu, Lingjie Li, Yong Huang, Zhe Li, Zhenduo Zhu, Qingfang Hu, Chen Liao, Yu Guan and Lauren M. Sassoubre. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.
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.