Mingwang Shen
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 24
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 12
- HIV/AIDS Research and Interventions 12
- Virology top 10%
- HIV Research and Treatment 10
- Health Informatics top 10%
- Health top 5%
- Vaccine Coverage and Hesitancy 8
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- HIV, Drug Use, Sexual Risk 11
- Hepatitis B Virus Studies 9
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- COVID-19 Pandemic Impacts 9
- Co-authors
- Yanni XiaoLei ZhangLibin RongGuihua ZhuangZhihang PengChristopher K. FairleyYan LiJinli Liu
- Journals
- International Journal of Infectious Diseases (4 papers)BMC Public Health (4 papers)The Lancet Regional Health - Western Pacific (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Mingwang Shen
77 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Modeling and Simulation 516
- Infectious Diseases 526
- Virology 78
- Health Informatics 21
- Health 113
Countries citing papers authored by Mingwang Shen
This map shows the geographic impact of Mingwang Shen'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 Mingwang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwang Shen more than expected).
Fields of papers citing papers by Mingwang Shen
This network shows the impact of papers produced by Mingwang Shen. 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 Mingwang Shen. The network helps show where Mingwang Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingwang Shen, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 23 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | Projected rapid growth in diabetes disease burden and economic burden in China: a spatio-temporal study from 2020 to 2030breakdown → | 2023 | 105 |
| 9 | 2023 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 22 | |
| 12 | 2023 | 38 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 41 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 1 | |
| 18 | 2020 | 5 | |
| 19 | 2020 | 15 | |
| 20 | 2017 | 14 |
About Mingwang Shen
Mingwang Shen is a scholar working on Modeling and Simulation, Virology, Infectious Diseases, Health and Hepatology, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (24 papers), SARS-CoV-2 and COVID-19 Research (12 papers), HIV/AIDS Research and Interventions (12 papers), HIV, Drug Use, Sexual Risk (11 papers), HIV Research and Treatment (10 papers), COVID-19 Pandemic Impacts (9 papers), Hepatitis B Virus Studies (9 papers) and Vaccine Coverage and Hesitancy (8 papers). The work is most often cited by research in Modeling and Simulation (516 citations), Infectious Diseases (526 citations), Virology (78 citations), Health Informatics (21 citations) and Health (113 citations). Mingwang Shen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yanni Xiao, Lei Zhang, Libin Rong, Guihua Zhuang, Zhihang Peng, Christopher K. Fairley, Yan Li, Jinli Liu, Hua Qiang and Jun Lyu. Their work appears in journals such as International Journal of Infectious Diseases, BMC Public Health, The Lancet Regional Health - Western Pacific, Vaccine and The Innovation.
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.