Min Lü
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 13
- Co-authors
- Hemant Ishwaran (6 shared papers)Jicai Huang (13 shared papers)Shigui Ruan (5 shared papers)Erik N. Hansen (1 shared paper)Pei Yu (2 shared papers)Liwei Gao (1 shared paper)Dongchi Zhao (1 shared paper)Xuefeng Wang (1 shared paper)
- Journals
- Journal of Differential Equations (5 papers)PLoS ONE (2 papers)Neuropsychology Review (1 paper)Statistics in Medicine (1 paper)BMC Public Health (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Min Lü
47 papers receiving 1.4k citations
Min Lü's Hit Papers
Peers
Comparison fields: 5 of 171
- Modeling and Simulation 168
- Infectious Diseases 287
- Public Health, Environmental and Occupational Health 302
- Obstetrics and Gynecology 77
- Statistics and Probability 85
Countries citing papers authored by Min Lü
This map shows the geographic impact of Min Lü'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 Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Lü more than expected).
Fields of papers citing papers by Min Lü
This network shows the impact of papers produced by Min Lü. 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 Lü. The network helps show where Min Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Lü, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diagnosis, treatment, and prevention of 2019 novel coronavirus infection in children: experts’ consensus statement Hit paper breakdown → | 2020 | 553 |
| 2 | 2018 | 169 | |
| 3 | 2019 | 101 | |
| 4 | 2017 | 86 | |
| 5 | 2016 | 65 | |
| 6 | 2011 | 55 | |
| 7 | 2009 | 43 | |
| 8 | 2021 | 43 | |
| 9 | 2020 | 31 | |
| 10 | 2022 | 30 | |
| 11 | 2012 | 21 | |
| 12 | 2022 | 20 | |
| 13 | 2019 | 20 | |
| 14 | 2022 | 20 | |
| 15 | 2022 | 17 | |
| 16 | 2019 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2023 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2021 | 13 |
About Min Lü
Min Lü is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Genetics, Surgery and Modeling and Simulation, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Evolution and Genetic Dynamics (9 papers), COVID-19 epidemiological studies (7 papers), COVID-19 and Mental Health (3 papers), Statistical Methods and Bayesian Inference (3 papers), Esophageal Cancer Research and Treatment (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and Ecosystem dynamics and resilience (3 papers). The work is most often cited by research in Modeling and Simulation (168 citations), Infectious Diseases (287 citations), Public Health, Environmental and Occupational Health (302 citations), Obstetrics and Gynecology (77 citations) and Statistics and Probability (85 citations). Min Lü has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hemant Ishwaran, Jicai Huang, Shigui Ruan, Erik N. Hansen, Pei Yu, Liwei Gao, Dongchi Zhao, Xuefeng Wang, Sainan Shu and Runming Jin. Their work appears in journals such as Journal of Differential Equations, PLoS ONE, Neuropsychology Review, Statistics in Medicine and BMC Public Health.
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.