Weihao Tang

878 citations
32 papers · 610 · h-index 15

Impact in

Papers in

Weihao Tang

29 papers receiving 605 citations

Peers

Weihao Tang
Comparison fields: 5 of 111
  • Pollution 87
  • Industrial and Manufacturing Engineering 61
  • Computational Theory and Mathematics 107
  • Health, Toxicology and Mutagenesis 86
  • Water Science and Technology 57
Replace Fubo Yu with:
Fubo Yu China
Rob Onderwater Belgium
Wenfang Zhou China
Lele Wang China
Ryo Shoji Japan
Na Gou United States
Christine Melber Germany
Yanmei Zhao China
Keke Ding China
Diego Baderna Italy
Weihao Tang relative to Fubo Yu China Fubo Yu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Weihao Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Weihao Tang Line = papers co-authored together Weihao Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201964
2 201963
3 201858
4 202053
5 201841
6 202139
7 202231
8 202326
9 202422
10 202022
11 202120
12 202320
13 202320
14 202316
15 201915
16 202014
17 201914
18 202112
19 202310
20 202010

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 32 papers that have together received 610 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Chemistry and Chemical Engineering (4 papers), Atmospheric chemistry and aerosols (3 papers), Nanoparticles: synthesis and applications (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Advanced Chemical Sensor Technologies (3 papers), Renal cell carcinoma treatment (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Pollution (87 citations), Industrial and Manufacturing Engineering (61 citations), Computational Theory and Mathematics (107 citations), Health, Toxicology and Mutagenesis (86 citations) and Water Science and Technology (57 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, Tong Xu, Deming Xia, Wanxin Tang, Xuehua Li and Qing Zhao. Their work appears in journals such as Chemosphere, Environmental Science & Technology, Journal of Environmental Sciences, Nature Communications 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.

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