Mingchu Ran
Impact in
- Catalysis top 10%
- Catalysis and Oxidation Reactions
- Ammonia Synthesis and Nitrogen Reduction
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- Advanced Combustion Engine Technologies
Papers in
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- Catalytic Processes in Materials Science 11
- Machine Learning in Materials Science 3
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- Ammonia Synthesis and Nitrogen Reduction 5
- Catalysis and Oxidation Reactions 4
- Co-authors
- Jingyu Ran (7 shared papers)Xuesen Du (4 shared papers)Chenghang Zheng (8 shared papers)Juntian Niu (3 shared papers)Yang Yang (6 shared papers)Xiao Zhang (7 shared papers)Ruirui Wang (2 shared papers)Jun Shi (4 shared papers)
In The Last Decade
Mingchu Ran
16 papers receiving 336 citations
Peers
Comparison fields: 5 of 46
- Catalysis 114
- Fluid Flow and Transfer Processes 63
- Renewable Energy, Sustainability and the Environment 74
- Materials Chemistry 202
- Computational Mechanics 82
Countries citing papers authored by Mingchu Ran
This map shows the geographic impact of Mingchu Ran'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 Mingchu Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingchu Ran more than expected).
Fields of papers citing papers by Mingchu Ran
This network shows the impact of papers produced by Mingchu Ran. 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 Mingchu Ran. The network helps show where Mingchu Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingchu Ran, 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 | 2023 | 100 | |
| 2 | 2015 | 62 | |
| 3 | 2021 | 35 | |
| 4 | 2015 | 27 | |
| 5 | 2016 | 21 | |
| 6 | 2024 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2015 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2024 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2025 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2025 | 1 | |
| 16 | 2019 | 1 |
About Mingchu Ran
Mingchu Ran is a scholar working on Materials Chemistry, Catalysis, Computational Mechanics, Organic Chemistry and Fluid Flow and Transfer Processes, having authored 16 papers that have together received 341 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (11 papers), Ammonia Synthesis and Nitrogen Reduction (5 papers), Catalysis and Oxidation Reactions (4 papers), Advanced Combustion Engine Technologies (3 papers), Thermochemical Biomass Conversion Processes (3 papers), Nanomaterials for catalytic reactions (3 papers), Heat transfer and supercritical fluids (3 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Catalysis (114 citations), Fluid Flow and Transfer Processes (63 citations), Renewable Energy, Sustainability and the Environment (74 citations), Materials Chemistry (202 citations) and Computational Mechanics (82 citations). Mingchu Ran has collaborated with scholars based in China, Germany and Poland. Frequent co-authors include Jingyu Ran, Xuesen Du, Chenghang Zheng, Juntian Niu, Yang Yang, Xiao Zhang, Ruirui Wang, Jun Shi, Liya Li and Xiang Gao. Their work appears in journals such as Journal of Materials Chemistry A, Computational Materials Science, Applied Thermal Engineering, Journal of environmental chemical engineering and Environmental Science & Technology.
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.