Qianying Lin

2.9k total citations · 1 hit paper
27 papers, 1.8k citations indexed

About

Qianying Lin is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Qianying Lin has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 14 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Qianying Lin's work include COVID-19 epidemiological studies (15 papers), Influenza Virus Research Studies (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Qianying Lin is often cited by papers focused on COVID-19 epidemiological studies (15 papers), Influenza Virus Research Studies (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Qianying Lin collaborates with scholars based in Hong Kong, China and United States. Qianying Lin's 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 and has published in prestigious journals such as Nature Communications, PLoS ONE and Molecular Biology and Evolution.

In The Last Decade

Qianying Lin

26 papers receiving 1.7k citations

Hit Papers

A conceptual model for the coronavirus disease 2019 (COVI... 2020 2026 2022 2024 2020 250 500 750

Peers

Qianying Lin
Qianying Lin
Citations per year, relative to Qianying Lin Qianying Lin (= 1×) peers Natalie M. Linton

Countries citing papers authored by Qianying Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Qianying Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Qianying Lin. A scholar is included among the top collaborators of Qianying Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qianying Lin. Qianying Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lin, Qianying, Emma E. Goldberg, Thomas Leitner, et al.. (2024). The Number and Pattern of Viral Genomic Reassortments are not Necessarily Identifiable from Segment Trees. Molecular Biology and Evolution. 41(6). 1 indexed citations
2.
Lin, Qianying, et al.. (2024). Research on the Comprehensive Impact of ESG Indicators on Supply Chain Sustainability, Economic Growth, and Policy Making. Highlights in Business Economics and Management. 27. 1–8.
3.
Lin, Qianying, et al.. (2023). Seeing through noise in power laws. Journal of The Royal Society Interface. 20(205). 20230310–20230310. 3 indexed citations
4.
Goldberg, Emma E., Qianying Lin, Ethan Romero-Severson, & Ruian Ke. (2023). Swift and extensive Omicron outbreak in China after sudden exit from ‘zero-COVID’ policy. Nature Communications. 14(1). 3888–3888. 43 indexed citations
5.
Lin, Qianying, Sourya Shrestha, Shi Zhao, et al.. (2022). Changing Epidemiology of TB in Shandong, China Driven by Demographic Changes. Frontiers in Medicine. 9. 810382–810382. 4 indexed citations
6.
Fan, Guihong, Zhichun Yang, Qianying Lin, et al.. (2020). Decreased Case Fatality Rate of COVID‐19 in the Second Wave: A study in 53 countries or regions. Transboundary and Emerging Diseases. 68(2). 213–215. 107 indexed citations
7.
Zhao, Shi, Salihu S. Musa, Qianying Lin, et al.. (2020). Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak. Journal of Clinical Medicine. 9(2). 388–388. 302 indexed citations
8.
Zhuang, Zian, Shi Zhao, Qianying Lin, et al.. (2020). Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data. International Journal of Infectious Diseases. 94. 29–31. 58 indexed citations
9.
He, Daihai, Shi Zhao, Qianying Lin, et al.. (2020). The relative transmissibility of asymptomatic COVID-19 infections among close contacts. International Journal of Infectious Diseases. 94. 145–147. 152 indexed citations
10.
He, Daihai, Shi Zhao, Qianying Lin, Salihu S. Musa, & Lewi Stone. (2020). New estimates of the Zika virus epidemic attack rate in Northeastern Brazil from 2015 to 2016: A modelling analysis based on Guillain-Barré Syndrome (GBS) surveillance data. PLoS neglected tropical diseases. 14(4). e0007502–e0007502. 18 indexed citations
11.
Lin, Qianying, Salihu S. Musa, Shi Zhao, & Daihai He. (2020). Modeling the 2014–2015 Ebola Virus Disease Outbreaks in Sierra Leone, Guinea, and Liberia with Effect of High- and Low-risk Susceptible Individuals. Bulletin of Mathematical Biology. 82(8). 102–102. 10 indexed citations
12.
Musa, Salihu S., Shi Zhao, Daozhou Gao, et al.. (2020). Mechanistic modelling of the large-scale Lassa fever epidemics in Nigeria from 2016 to 2019. Journal of Theoretical Biology. 493. 110209–110209. 58 indexed citations
13.
Lin, Qianying, Shi Zhao, Daozhou Gao, et al.. (2020). A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action. International Journal of Infectious Diseases. 93. 211–216. 761 indexed citations breakdown →
14.
Zhuang, Zian, Shi Zhao, Qianying Lin, et al.. (2020). Preliminary estimates of the reproduction number of the coronavirus disease (COVID-19) outbreak in Republic of Korea and Italy by 5 March 2020. International Journal of Infectious Diseases. 95. 308–310. 55 indexed citations
15.
Yang, Shu, Alice P. Y. Chiu, Qianying Lin, et al.. (2018). HIV epidemics in Shenzhen and Chongqing, China. PLoS ONE. 13(2). e0192849–e0192849. 24 indexed citations
16.
Tang, Xiujuan, Shisong Fang, Alice P. Y. Chiu, et al.. (2018). Unsynchronized influenza epidemics in two neighboring subtropical cities. International Journal of Infectious Diseases. 69. 85–87. 2 indexed citations
17.
Lin, Qianying, et al.. (2017). Effects of reactive social distancing on the 1918 influenza pandemic. PLoS ONE. 12(7). e0180545–e0180545. 29 indexed citations
18.
Chiu, Alice P. Y., et al.. (2017). Anti-phase synchronization of influenza A/H1N1 and A/H3N2 in Hong Kong and countries in the North Temperate Zone. International Journal of Infectious Diseases. 66. 42–44. 5 indexed citations
19.
Chiu, Alice P. Y., Qianying Lin, & Daihai He. (2017). News trends and web search query of HIV/AIDS in Hong Kong. PLoS ONE. 12(9). e0185004–e0185004. 25 indexed citations
20.
He, Daihai, Alice P. Y. Chiu, Qianying Lin, & Benjamin J. Cowling. (2015). Differences in the seasonality of Middle East respiratory syndrome coronavirus and influenza in the Middle East. International Journal of Infectious Diseases. 40. 15–16. 12 indexed citations

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.

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