Mingyu Wan
Impact in
- Catalysis top 5%
- Ionic liquids properties and applications
- Ammonia Synthesis and Nitrogen Reduction
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- CO2 Reduction Techniques and Catalysts
- Electrocatalysts for Energy Conversion
Papers in
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- CO2 Reduction Techniques and Catalysts 7
- Electrocatalysts for Energy Conversion 5
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- Ionic liquids properties and applications 5
- Catalysis and Oxidation Reactions 1
- Co-authors
- Fanglin Che (9 shared papers)Hemanth Somarajan Pillai (1 shared paper)Hongliang Xin (1 shared paper)Siwen Wang (1 shared paper)Tianyou Mou (1 shared paper)Neil M. Schweitzer (1 shared paper)Xue Han (1 shared paper)Han Yue (1 shared paper)
- Journals
- ChemCatChem (2 papers)Nature Communications (2 papers)Nature Chemistry (1 paper)Journal of the American Chemical Society (1 paper)The Journal of Physical Chemistry C (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Mingyu Wan
11 papers receiving 508 citations
Mingyu Wan's Hit Papers
Peers
Comparison fields: 5 of 44
- Catalysis 255
- Renewable Energy, Sustainability and the Environment 365
- Process Chemistry and Technology 62
- Electrochemistry 36
- Materials Chemistry 231
Countries citing papers authored by Mingyu Wan
This map shows the geographic impact of Mingyu Wan'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 Mingyu Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyu Wan more than expected).
Fields of papers citing papers by Mingyu Wan
This network shows the impact of papers produced by Mingyu Wan. 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 Mingyu Wan. The network helps show where Mingyu Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyu Wan, 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 | Bridging the complexity gap in computational heterogeneous catalysis with machine learning Hit paper breakdown → | 2023 | 165 |
| 2 | 2021 | 154 | |
| 3 | 2023 | 82 | |
| 4 | 2022 | 44 | |
| 5 | 2023 | 25 | |
| 6 | 2025 | 14 | |
| 7 | 2025 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2021 | 6 | |
| 11 | 2022 | 1 |
About Mingyu Wan
Mingyu Wan is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis, Materials Chemistry, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 11 papers that have together received 517 indexed citations. Recurring topics across this work include CO2 Reduction Techniques and Catalysts (7 papers), Electrocatalysts for Energy Conversion (5 papers), Ionic liquids properties and applications (5 papers), Machine Learning in Materials Science (2 papers), Advanced Thermoelectric Materials and Devices (2 papers), Magnetism in coordination complexes (1 paper), Caching and Content Delivery (1 paper) and Catalysis and Oxidation Reactions (1 paper). The work is most often cited by research in Catalysis (255 citations), Renewable Energy, Sustainability and the Environment (365 citations), Process Chemistry and Technology (62 citations), Electrochemistry (36 citations) and Materials Chemistry (231 citations). Mingyu Wan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Fanglin Che, Hemanth Somarajan Pillai, Hongliang Xin, Siwen Wang, Tianyou Mou, Neil M. Schweitzer, Xue Han, Han Yue, Hongfu Liu and Yi Xu. Their work appears in journals such as ChemCatChem, Nature Communications, Nature Chemistry, Journal of the American Chemical Society and The Journal of Physical Chemistry C.
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.