Mingwei Wen
Impact in
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- Carbon dioxide utilization in catalysis
- Inorganic Chemistry top 5%
- Asymmetric Hydrogenation and Catalysis
Papers in
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- Organoboron and organosilicon chemistry 3
- Catalytic Alkyne Reactions 2
- Oxidative Organic Chemistry Reactions 2
- Catalytic C–H Functionalization Methods 2
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- Asymmetric Hydrogenation and Catalysis 6
- Metal-Organic Frameworks: Synthesis and Applications 2
- Co-authors
- Zhixiang Wang (13 shared papers)Haixia Li (3 shared papers)Yanfeng Dang (2 shared papers)Shuanglin Qu (2 shared papers)Chunyu Song (1 shared paper)Kuo‐Wei Huang (1 shared paper)Fang Huang (3 shared papers)Gang Lü (2 shared papers)
- Journals
- Inorganic Chemistry (2 papers)Dalton Transactions (2 papers)The Journal of Physical Chemistry C (1 paper)Theoretical Chemistry Accounts (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Mingwei Wen
14 papers receiving 687 citations
Peers
Comparison fields: 5 of 48
- Process Chemistry and Technology 207
- Inorganic Chemistry 355
- Organic Chemistry 445
- Catalysis 62
- Renewable Energy, Sustainability and the Environment 55
Countries citing papers authored by Mingwei Wen
This map shows the geographic impact of Mingwei Wen'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 Mingwei Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwei Wen more than expected).
Fields of papers citing papers by Mingwei Wen
This network shows the impact of papers produced by Mingwei Wen. 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 Mingwei Wen. The network helps show where Mingwei Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingwei Wen, 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 | 2014 | 168 | |
| 2 | 2012 | 82 | |
| 3 | 2012 | 77 | |
| 4 | 2013 | 71 | |
| 5 | 2013 | 66 | |
| 6 | 2011 | 55 | |
| 7 | 2012 | 42 | |
| 8 | 2013 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2012 | 23 | |
| 11 | 2014 | 21 | |
| 12 | 2014 | 18 | |
| 13 | 2012 | 12 | |
| 14 | 2018 | 7 |
About Mingwei Wen
Mingwei Wen is a scholar working on Organic Chemistry, Inorganic Chemistry, Process Chemistry and Technology, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 691 indexed citations. Recurring topics across this work include Asymmetric Hydrogenation and Catalysis (6 papers), Carbon dioxide utilization in catalysis (6 papers), Organoboron and organosilicon chemistry (3 papers), CO2 Reduction Techniques and Catalysts (2 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Catalytic Alkyne Reactions (2 papers), Oxidative Organic Chemistry Reactions (2 papers) and Catalytic C–H Functionalization Methods (2 papers). The work is most often cited by research in Process Chemistry and Technology (207 citations), Inorganic Chemistry (355 citations), Organic Chemistry (445 citations), Catalysis (62 citations) and Renewable Energy, Sustainability and the Environment (55 citations). Mingwei Wen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Zhixiang Wang, Haixia Li, Yanfeng Dang, Shuanglin Qu, Chunyu Song, Kuo‐Wei Huang, Fang Huang, Gang Lü, Xiaotai Wang and Xiangyu Chen. Their work appears in journals such as Inorganic Chemistry, Dalton Transactions, The Journal of Physical Chemistry C, Theoretical Chemistry Accounts and Neural Computing and Applications.
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.