Wei An
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- Water Treatment and Disinfection 21
- Environmental Chemistry top 1%
- Aquatic Ecosystems and Phytoplankton Dynamics 12
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- Odor and Emission Control Technologies 6
- Water Science and Technology top 2%
- Water Quality and Pollution Assessment 8
- Fecal contamination and water quality 7
- Pollution top 2%
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- Marine and coastal ecosystems 8
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- Parasitic Infections and Diagnostics 7
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- Water Quality Monitoring and Analysis 6
- Journals
- Water Research (11 papers)Journal of Environmental Sciences (10 papers)Environmental Science & Technology (5 papers)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Wei An
63 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Health, Toxicology and Mutagenesis 784
- Environmental Chemistry 564
- Process Chemistry and Technology 150
- Water Science and Technology 499
- Pollution 354
Countries citing papers authored by Wei An
This map shows the geographic impact of Wei An'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 Wei An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei An more than expected).
Fields of papers citing papers by Wei An
This network shows the impact of papers produced by Wei An. 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 Wei An. The network helps show where Wei An may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei An, 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 19 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 49 | |
| 12 | 2018 | 43 | |
| 13 | 2017 | 4 | |
| 14 | 2016 | 78 | |
| 15 | [Residual levels of acetochlor in source water and drinking water of China's major cities]. | 2014 | 14 |
| 16 | 2013 | 9 | |
| 17 | [Residual levels of pesticides in freshwater fish from Beijing aquatic product markets and health risk assessment]. | 2013 | 3 |
| 18 | 2012 | 11 | |
| 19 | 2012 | 19 | |
| 20 | 2011 | 135 |
About Wei An
Wei An is a scholar working on Process Chemistry and Technology, Health, Toxicology and Mutagenesis, Environmental Chemistry, Water Science and Technology and Parasitology, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Water Treatment and Disinfection (21 papers), Aquatic Ecosystems and Phytoplankton Dynamics (12 papers), Water Quality and Pollution Assessment (8 papers), Marine and coastal ecosystems (8 papers), Parasitic Infections and Diagnostics (7 papers), Fecal contamination and water quality (7 papers), Odor and Emission Control Technologies (6 papers) and Water Quality Monitoring and Analysis (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (784 citations), Environmental Chemistry (564 citations), Process Chemistry and Technology (150 citations), Water Science and Technology (499 citations) and Pollution (354 citations). Wei An has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Min Yang, Jianwei Yu, Ming Su, Jianying Hu, Yu Zhang, Ziming Han, Wanfeng Wang, Dongqing Zhang, Haifeng Zhang and Shumin Xiao. Their work appears in journals such as Water Research, Journal of Environmental Sciences, Environmental Science & Technology, The Science of The Total Environment and Environmental 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.