Wei Cui
Impact in
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- Electrocatalysts for Energy Conversion
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- Grey System Theory Applications
Papers in
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- Computational Drug Discovery Methods 11
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- Asymmetric Synthesis and Catalysis 5
- Co-authors
- Mingjuan Ji (17 shared papers)Mingming Guo (1 shared paper)Lifeng Wu (2 shared papers)Sifeng Liu (2 shared papers)Laurie L. Parker (4 shared papers)Dong‐Liang Mo (8 shared papers)Cui Liang (6 shared papers)Tianxiang Yao (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Advanced Synthesis & Catalysis (3 papers)Organic Letters (3 papers)Journal of Computer-Aided Molecular Design (3 papers)Journal of Molecular Modeling (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Wei Cui
72 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 73
- Renewable Energy, Sustainability and the Environment 229
- Management Science and Operations Research 117
- Organic Chemistry 212
- Catalysis 23
- Computational Theory and Mathematics 69
Countries citing papers authored by Wei Cui
This map shows the geographic impact of Wei Cui'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 Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Cui more than expected).
Fields of papers citing papers by Wei Cui
This network shows the impact of papers produced by Wei Cui. 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 Cui. The network helps show where Wei Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Cui, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 151 | |
| 2 | 2020 | 125 | |
| 3 | 2014 | 109 | |
| 4 | 2018 | 107 | |
| 5 | 2014 | 66 | |
| 6 | 2012 | 53 | |
| 7 | 2015 | 43 | |
| 8 | 2010 | 40 | |
| 9 | 2023 | 37 | |
| 10 | 2013 | 35 | |
| 11 | 2015 | 34 | |
| 12 | 2018 | 33 | |
| 13 | 2022 | 32 | |
| 14 | 2000 | 31 | |
| 15 | 2009 | 30 | |
| 16 | 2013 | 30 | |
| 17 | 2020 | 29 | |
| 18 | 2018 | 28 | |
| 19 | 2008 | 27 | |
| 20 | 2019 | 27 |
About Wei Cui
Wei Cui is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Catalysis, Hepatology and Accounting, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Asymmetric Synthesis and Catalysis (5 papers), Influenza Virus Research Studies (4 papers), Hepatitis C virus research (3 papers), Electrocatalysts for Energy Conversion (3 papers), Protein Tyrosine Phosphatases (3 papers), Ionic liquids properties and applications (3 papers) and Grey System Theory Applications (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (229 citations), Management Science and Operations Research (117 citations), Organic Chemistry (212 citations), Catalysis (23 citations) and Computational Theory and Mathematics (69 citations). Wei Cui has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Mingjuan Ji, Mingming Guo, Lifeng Wu, Sifeng Liu, Laurie L. Parker, Dong‐Liang Mo, Cui Liang, Tianxiang Yao, Shengwei Chen and Xin Zhao. Their work appears in journals such as Journal of Chemical Information and Modeling, Advanced Synthesis & Catalysis, Organic Letters, Journal of Computer-Aided Molecular Design and Journal of Molecular Modeling.
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.