Min Cui
Impact in
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- Air Quality and Health Impacts
- Pollution top 5%
- Microplastics and Plastic Pollution
Papers in
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- Vehicle emissions and performance 20
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- Atmospheric chemistry and aerosols 24
- Co-authors
- Yingjun Chen (21 shared papers)Jia Li (8 shared papers)Songguo Yu (6 shared papers)Xuehai Chen (6 shared papers)Mei Mu Zi Zheng (10 shared papers)Caiqing Yan (11 shared papers)Chongguo Tian (6 shared papers)Fan Zhang (9 shared papers)
In The Last Decade
Min Cui
51 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Health, Toxicology and Mutagenesis 417
- Pollution 347
- Atmospheric Science 430
- Automotive Engineering 276
- Waste Management and Disposal 180
Countries citing papers authored by Min Cui
This map shows the geographic impact of Min 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 Min Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Cui more than expected).
Fields of papers citing papers by Min Cui
This network shows the impact of papers produced by Min 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 Min Cui. The network helps show where Min Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 122 | |
| 2 | 2017 | 93 | |
| 3 | 2016 | 86 | |
| 4 | 2017 | 77 | |
| 5 | 2021 | 69 | |
| 6 | 2019 | 60 | |
| 7 | 2023 | 51 | |
| 8 | 2022 | 48 | |
| 9 | 2022 | 46 | |
| 10 | 2018 | 44 | |
| 11 | 2022 | 35 | |
| 12 | 2024 | 34 | |
| 13 | 2019 | 32 | |
| 14 | 2018 | 31 | |
| 15 | 2022 | 30 | |
| 16 | 2022 | 28 | |
| 17 | 2021 | 28 | |
| 18 | 2023 | 27 | |
| 19 | 2021 | 27 | |
| 20 | 2016 | 22 |
About Min Cui
Min Cui is a scholar working on Automotive Engineering, Atmospheric Science, Health, Toxicology and Mutagenesis, Pollution and Waste Management and Disposal, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (24 papers), Vehicle emissions and performance (20 papers), Air Quality and Health Impacts (18 papers), Microplastics and Plastic Pollution (10 papers), Recycling and Waste Management Techniques (6 papers), Maritime Transport Emissions and Efficiency (5 papers), biodegradable polymer synthesis and properties (5 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (417 citations), Pollution (347 citations), Atmospheric Science (430 citations), Automotive Engineering (276 citations) and Waste Management and Disposal (180 citations). Min Cui has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Yingjun Chen, Jia Li, Songguo Yu, Xuehai Chen, Mei Mu Zi Zheng, Caiqing Yan, Chongguo Tian, Fan Zhang, Yufei Yu and Junyu Zheng. Their work appears in journals such as The Science of The Total Environment, Atmospheric chemistry and physics, Atmospheric Environment, Environmental Monitoring and Assessment and Environmental Pollution.
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.