Mingkai Peng
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- Blood Pressure and Hypertension Studies 6
- Cardiovascular Function and Risk Factors 4
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- Medical Coding and Health Information 5
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- Chronic Disease Management Strategies 3
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- Data Mining Algorithms and Applications 4
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- Tree Root and Stability Studies 3
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- Biomedical Text Mining and Ontologies 3
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- Emergency and Acute Care Studies 3
- Co-authors
- Hude QuanTyler WilliamsonGuanmin ChenCathy A. EastwoodChelsea DoktorchikDanielle A. SouthernJason WeatheraldMitja Jevnikar
- Cited by
- Cardiology and Cardiovascular MedicineHealth Information ManagementPulmonary and Respiratory Medicine
- Journals
- International Journal for Population Data Science (4 papers)PLoS ONE (3 papers)Canadian Journal of Forest Research (2 papers)
- Partner nations
- CanadaAustraliaSwitzerland
In The Last Decade
Mingkai Peng
34 papers receiving 683 citations
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 285
- Health Information Management 53
- Pulmonary and Respiratory Medicine 204
- Epidemiology 119
- Geriatrics and Gerontology 13
Countries citing papers authored by Mingkai Peng
This map shows the geographic impact of Mingkai Peng'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 Mingkai Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingkai Peng more than expected).
Fields of papers citing papers by Mingkai Peng
This network shows the impact of papers produced by Mingkai Peng. 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 Mingkai Peng. The network helps show where Mingkai Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingkai Peng, 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 | 2024 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 4 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 10 | |
| 6 | 2019 | 98 | |
| 7 | 2019 | 30 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2018 | 26 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 27 | |
| 13 | 2018 | 17 | |
| 14 | 2018 | 49 | |
| 15 | 2017 | 141 | |
| 16 | 2017 | 2 | |
| 17 | 2017 | 8 | |
| 18 | 2015 | 31 | |
| 19 | 2015 | 8 | |
| 20 | 2012 | 33 |
About Mingkai Peng
Mingkai Peng is a scholar working on Health Information Management, Medical Laboratory Technology, Cardiology and Cardiovascular Medicine, Microbiology and Emergency Medicine, having authored 35 papers that have together received 696 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (6 papers), Medical Coding and Health Information (5 papers), Cardiovascular Function and Risk Factors (4 papers), Data Mining Algorithms and Applications (4 papers), Chronic Disease Management Strategies (3 papers), Tree Root and Stability Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Emergency and Acute Care Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (285 citations), Health Information Management (53 citations), Pulmonary and Respiratory Medicine (204 citations), Epidemiology (119 citations) and Geriatrics and Gerontology (13 citations). Mingkai Peng has collaborated with scholars based in Canada, Australia and Switzerland. Frequent co-authors include Hude Quan, Tyler Williamson, Guanmin Chen, Cathy A. Eastwood, Chelsea Doktorchik, Danielle A. Southern, Jason Weatherald, Mitja Jevnikar, Laurent Savale and Olivier Sitbon. Their work appears in journals such as International Journal for Population Data Science, PLoS ONE, Canadian Journal of Forest Research, The Stata Journal Promoting communications on statistics and Stata and JAMA Network Open.
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.