Mingyu Wan
- Renewable Energy, Sustainability and the Environment top 5%
- Catalysis top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Process Chemistry and Technology top 5%
- Co-authors
- Fanglin CheTianyou MouHongliang XinHemanth Somarajan PillaiXue HanNeil M. SchweitzerSiwen WangHongfu Liu
- Topics
- CO2 Reduction Techniques and Catalysts (7 papers)Electrocatalysts for Energy Conversion (5 papers)Ionic liquids properties and applications (5 papers)
- Cited by
- CatalysisRenewable Energy, Sustainability and the EnvironmentProcess Chemistry and Technology
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Mingyu Wan
11 papers receiving 508 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Renewable Energy, Sustainability and the Environment 365
- Catalysis 255
- Materials Chemistry 231
- Electrical and Electronic Engineering 104
- Process Chemistry and Technology 62
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-authorship network of co-authors of Mingyu Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Mingyu Wan. A scholar is included among the top collaborators of Mingyu Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingyu Wan. Mingyu Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 14 | |
| 3 | 8 | |
| 4 | 82 | |
| 5 | Bridging the complexity gap in computational heterogeneous catalysis with machine learningbreakdown → | 165 |
| 6 | 25 | |
| 7 | 9 | |
| 8 | 44 | |
| 9 | 1 | |
| 10 | 154 | |
| 11 | 6 |
About Mingyu Wan
Mingyu Wan is a scholar working on Catalysis, Renewable Energy, Sustainability and the Environment and Process Chemistry and Technology, 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) and Ionic liquids properties and applications (5 papers). The work is most often cited by research in Catalysis (255 citations), Renewable Energy, Sustainability and the Environment (365 citations) and Process Chemistry and Technology (62 citations). Mingyu Wan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Fanglin Che, Tianyou Mou, Hongliang Xin, Hemanth Somarajan Pillai, Xue Han, Neil M. Schweitzer, Siwen Wang, Hongfu Liu, Han Yue and Mingchuan Luo. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and ACS Catalysis.
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.