Weide Li
Impact in
- Environmental Engineering top 5%
- Air Quality Monitoring and Forecasting
- Hydrological Forecasting Using AI
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Hydrological Forecasting Using AI 10
- Air Quality Monitoring and Forecasting 6
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- Hydrology and Watershed Management Studies 8
- Co-authors
- Xuan Yang (5 shared papers)Ailing Yang (2 shared papers)Xi Gao (2 shared papers)Lan Qin (2 shared papers)Chun‐Hua Hang (7 shared papers)Qing Sun (7 shared papers)Shijia Li (1 shared paper)Jinran Wu (6 shared papers)
In The Last Decade
Weide Li
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 145
- Environmental Engineering 281
- Neurology 89
- Management Science and Operations Research 137
- Health, Toxicology and Mutagenesis 122
- Clinical Biochemistry 54
Countries citing papers authored by Weide Li
This map shows the geographic impact of Weide Li'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 Weide Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weide Li more than expected).
Fields of papers citing papers by Weide Li
This network shows the impact of papers produced by Weide Li. 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 Weide Li. The network helps show where Weide Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Weide Li, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 195 | |
| 2 | 2020 | 138 | |
| 3 | 2014 | 125 | |
| 4 | 2019 | 88 | |
| 5 | 2021 | 77 | |
| 6 | 2003 | 55 | |
| 7 | 2019 | 51 | |
| 8 | 2017 | 48 | |
| 9 | 2014 | 48 | |
| 10 | 2021 | 41 | |
| 11 | 2004 | 39 | |
| 12 | 2017 | 38 | |
| 13 | 2013 | 37 | |
| 14 | 2011 | 33 | |
| 15 | 2024 | 33 | |
| 16 | 2024 | 31 | |
| 17 | 2013 | 29 | |
| 18 | 2013 | 28 | |
| 19 | 2013 | 27 | |
| 20 | 2014 | 27 |
About Weide Li
Weide Li is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Public Health, Environmental and Occupational Health and Health, Toxicology and Mutagenesis, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (10 papers), Hydrology and Watershed Management Studies (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Energy Load and Power Forecasting (8 papers), Evolution and Genetic Dynamics (6 papers), Air Quality Monitoring and Forecasting (6 papers), Air Quality and Health Impacts (5 papers) and Ecology and Vegetation Dynamics Studies (5 papers). The work is most often cited by research in Environmental Engineering (281 citations), Neurology (89 citations), Management Science and Operations Research (137 citations), Health, Toxicology and Mutagenesis (122 citations) and Clinical Biochemistry (54 citations). Weide Li has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Xuan Yang, Ailing Yang, Xi Gao, Lan Qin, Chun‐Hua Hang, Qing Sun, Shijia Li, Jinran Wu, Zizhen Li and Jianhong Zhu. Their work appears in journals such as Ecological Modelling, Journal of Hydrology, Agricultural Water Management, Cellular and Molecular Neurobiology and Energies.
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.