Aili Yang
Impact in
- Water Science and Technology top 10%
- Water-Energy-Food Nexus Studies
- Hydrology and Watershed Management Studies
- Ocean Engineering top 10%
- Water resources management and optimization
Papers in
-
- Groundwater flow and contamination studies 6
- Hydrological Forecasting Using AI 3
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- Hydrology and Watershed Management Studies 4
- Co-authors
- Guohe Huang (11 shared papers)Yurui Fan (10 shared papers)Xiaosheng Qin (3 shared papers)Ping Guo (1 shared paper)Haiyan Fu (9 shared papers)Zhineng Dai (6 shared papers)Yicheng Wu (3 shared papers)Edward A. McBean (2 shared papers)
- Journals
- Water (5 papers)Sustainability (2 papers)Information Sciences (1 paper)Scientific Reports (1 paper)Water Air & Soil Pollution (1 paper)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Aili Yang
43 papers receiving 400 citations
Peers
Comparison fields: 5 of 78
- Water Science and Technology 95
- Ocean Engineering 82
- Management Science and Operations Research 61
- Environmental Engineering 63
- Statistics and Probability 32
Countries citing papers authored by Aili Yang
This map shows the geographic impact of Aili Yang'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 Aili Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aili Yang more than expected).
Fields of papers citing papers by Aili Yang
This network shows the impact of papers produced by Aili Yang. 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 Aili Yang. The network helps show where Aili Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Aili Yang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 52 | |
| 2 | 2013 | 50 | |
| 3 | 2011 | 37 | |
| 4 | 2018 | 31 | |
| 5 | 2010 | 30 | |
| 6 | 2019 | 19 | |
| 7 | 2015 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2012 | 13 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2025 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2014 | 5 |
About Aili Yang
Aili Yang is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Materials Chemistry and Civil and Structural Engineering, having authored 52 papers that have together received 407 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (6 papers), Climate variability and models (6 papers), Water resources management and optimization (5 papers), Water Systems and Optimization (4 papers), Hydrology and Drought Analysis (4 papers), Hydrology and Watershed Management Studies (4 papers), Hydrological Forecasting Using AI (3 papers) and Climate change impacts on agriculture (3 papers). The work is most often cited by research in Water Science and Technology (95 citations), Ocean Engineering (82 citations), Management Science and Operations Research (61 citations), Environmental Engineering (63 citations) and Statistics and Probability (32 citations). Aili Yang has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Guohe Huang, Yurui Fan, Xiaosheng Qin, Ping Guo, Haiyan Fu, Zhineng Dai, Yicheng Wu, Edward A. McBean, Zhiqiang Liu and Yaojie Li. Their work appears in journals such as Water, Sustainability, Information Sciences, Scientific Reports and Water Air & Soil Pollution.
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.