Qianying Lin
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 15
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Outbreaks Research 4
- Viral Infections and Vectors 3
- Economics and Econometrics top 2%
- COVID-19 Pandemic Impacts 4
- Health top 10%
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- Influenza Virus Research Studies 6
- Respiratory viral infections research 2
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- COVID-19 impact on air quality 2
- Co-authors
- Daihai HeShi ZhaoLin YangMaggie Haitian WangSalihu S. MusaYijun LouDaozhou GaoWeiming Wang
- Journals
- Nature Communications (1 paper)PLoS ONE (4 papers)Molecular Biology and Evolution (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Qianying Lin
26 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Modeling and Simulation 1.2k
- Infectious Diseases 767
- Economics and Econometrics 460
- Public Health, Environmental and Occupational Health 323
- Health 78
Countries citing papers authored by Qianying Lin
This map shows the geographic impact of Qianying Lin'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 Qianying Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianying Lin more than expected).
Fields of papers citing papers by Qianying Lin
This network shows the impact of papers produced by Qianying Lin. 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 Qianying Lin. The network helps show where Qianying Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qianying Lin, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 43 | |
| 5 | 2022 | 4 | |
| 6 | 2020 | 107 | |
| 7 | 2020 | 302 | |
| 8 | 2020 | 58 | |
| 9 | 2020 | 152 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 58 | |
| 13 | A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental actionbreakdown → | 2020 | 761 |
| 14 | 2020 | 55 | |
| 15 | 2018 | 24 | |
| 16 | 2018 | 2 | |
| 17 | 2017 | 29 | |
| 18 | 2017 | 5 | |
| 19 | 2017 | 25 | |
| 20 | 2015 | 12 |
About Qianying Lin
Qianying Lin is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (15 papers), Influenza Virus Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infections and Outbreaks Research (4 papers), COVID-19 Pandemic Impacts (4 papers), Viral Infections and Vectors (3 papers), COVID-19 impact on air quality (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Infectious Diseases (767 citations) and Economics and Econometrics (460 citations). Qianying Lin has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Daihai He, Shi Zhao, Lin Yang, Maggie Haitian Wang, Salihu S. Musa, Yijun Lou, Daozhou Gao, Weiming Wang, Shu Yang and Yongli Cai. Their work appears in journals such as Nature Communications, PLoS ONE and Molecular Biology and Evolution.
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.