Mingan Yang
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
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- Statistical Methods and Inference 8
- Statistical Methods and Bayesian Inference 7
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- Bayesian Methods and Mixture Models 8
- Co-authors
- David B. Dunson (2 shared papers)Yan Cheng (1 shared paper)Yixin Xu (1 shared paper)Xuehan Li (1 shared paper)Guang‐Hui Dong (7 shared papers)Timothy Hanson (2 shared papers)Donna D. Baird (1 shared paper)Qun Xu (4 shared papers)
- Journals
- Computational Statistics & Data Analysis (3 papers)PLoS ONE (3 papers)Atmospheric Environment (1 paper)Age and Ageing (1 paper)Ecology Letters (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Mingan Yang
35 papers receiving 784 citations
Peers
Comparison fields: 5 of 131
- Statistics and Probability 132
- Health, Toxicology and Mutagenesis 161
- Cancer Research 81
- Pulmonary and Respiratory Medicine 168
- Artificial Intelligence 114
Countries citing papers authored by Mingan Yang
This map shows the geographic impact of Mingan Yang'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 Mingan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingan Yang more than expected).
Fields of papers citing papers by Mingan Yang
This network shows the impact of papers produced by Mingan Yang. 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 Mingan Yang. The network helps show where Mingan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingan Yang, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 128 | |
| 2 | 2015 | 78 | |
| 3 | 2016 | 65 | |
| 4 | 2010 | 61 | |
| 5 | 2018 | 49 | |
| 6 | 2010 | 46 | |
| 7 | 2016 | 44 | |
| 8 | 2020 | 30 | |
| 9 | 2006 | 27 | |
| 10 | 2019 | 27 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 20 | |
| 13 | 2012 | 20 | |
| 14 | 2018 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2018 | 18 | |
| 17 | 2018 | 18 | |
| 18 | 2014 | 16 | |
| 19 | 2014 | 14 | |
| 20 | 2020 | 13 |
About Mingan Yang
Mingan Yang is a scholar working on Statistics and Probability, Artificial Intelligence, Health, Toxicology and Mutagenesis, General Health Professions and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 806 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (7 papers), Air Quality and Health Impacts (4 papers), Climate Change and Health Impacts (3 papers), Air Quality Monitoring and Forecasting (2 papers), Optimal Experimental Design Methods (2 papers) and Dental Health and Care Utilization (2 papers). The work is most often cited by research in Statistics and Probability (132 citations), Health, Toxicology and Mutagenesis (161 citations), Cancer Research (81 citations), Pulmonary and Respiratory Medicine (168 citations) and Artificial Intelligence (114 citations). Mingan Yang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include David B. Dunson, Yan Cheng, Yixin Xu, Xuehan Li, Guang‐Hui Dong, Timothy Hanson, Donna D. Baird, Qun Xu, Xiuhua Si and Yung‐Sung Cheng. Their work appears in journals such as Computational Statistics & Data Analysis, PLoS ONE, Atmospheric Environment, Age and Ageing and Ecology Letters.
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.