Weihao Tang
Impact in
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts
-
- Water Quality Monitoring and Analysis
Papers in
-
- Computational Drug Discovery Methods 6
- Co-authors
- Jingwen Chen (18 shared papers)Zhongyu Wang (8 shared papers)Hong‐Bin Xie (6 shared papers)Huixiao Hong (5 shared papers)Yiling Cao (2 shared papers)Wanxin Tang (2 shared papers)Deming Xia (4 shared papers)Tong Xu (4 shared papers)
- Journals
- Chemosphere (5 papers)Environmental Science & Technology (4 papers)Journal of Environmental Sciences (2 papers)Bioscience Reports (1 paper)Measurement (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Weihao Tang
29 papers receiving 560 citations
Peers
Comparison fields: 5 of 114
- Pollution 86
- Industrial and Manufacturing Engineering 59
- Computational Theory and Mathematics 105
- Health, Toxicology and Mutagenesis 82
- Water Science and Technology 55
Countries citing papers authored by Weihao Tang
This map shows the geographic impact of Weihao Tang'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 Weihao Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihao Tang more than expected).
Fields of papers citing papers by Weihao Tang
This network shows the impact of papers produced by Weihao Tang. 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 Weihao Tang. The network helps show where Weihao Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weihao Tang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 62 | |
| 2 | 2019 | 59 | |
| 3 | 2018 | 57 | |
| 4 | 2020 | 46 | |
| 5 | 2018 | 39 | |
| 6 | 2021 | 39 | |
| 7 | 2022 | 26 | |
| 8 | 2023 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2023 | 19 | |
| 11 | 2023 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2024 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2019 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2020 | 9 | |
| 20 | 2023 | 9 |
About Weihao Tang
Weihao Tang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Health, Toxicology and Mutagenesis and Biomedical Engineering, having authored 31 papers that have together received 566 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Chemistry and Chemical Engineering (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Atmospheric chemistry and aerosols (3 papers), Advanced Chemical Sensor Technologies (3 papers), Nanoparticles: synthesis and applications (3 papers), Free Radicals and Antioxidants (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Pollution (86 citations), Industrial and Manufacturing Engineering (59 citations), Computational Theory and Mathematics (105 citations), Health, Toxicology and Mutagenesis (82 citations) and Water Science and Technology (55 citations). Weihao Tang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Jingwen Chen, Zhongyu Wang, Hong‐Bin Xie, Huixiao Hong, Yiling Cao, Wanxin Tang, Deming Xia, Tong Xu, Xuehua Li and Qing Zhao. Their work appears in journals such as Chemosphere, Environmental Science & Technology, Journal of Environmental Sciences, Bioscience Reports and Measurement.
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.