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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Forecasting the Spread of COVID-19 under Different Reopening Strategies
Meng Liu, Raphael Thomadsen, Song Yao
SSRN Electronic Journal (2020)
Open Access | Times Cited: 11

Showing 11 citing articles:

Dynamic Panel Surveillance of COVID-19 Transmission in the United States to Inform Health Policy: Observational Statistical Study
James F. Oehmke, Charles B. Moss, Lauren Nadya Singh, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 10, pp. e21955-e21955
Open Access | Times Cited: 39
Microsimulation based quantitative analysis of COVID-19 management strategies
István Z. Reguly, Dávid Csercsik, János Juhász, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 1, pp. e1009693-e1009693
Open Access | Times Cited: 26
Quantifying the shift in social contact patterns in response to non-pharmaceutical interventions
Zachary McCarthy, Yanyu Xiao, Francesca Scarabel, et al.
Journal of Mathematics in Industry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 26
Complex Network Modelling of Origin–Destination Commuting Flows for the COVID-19 Epidemic Spread Analysis in Italian Lombardy Region
Angela Lombardi, Nicola Amoroso, A. Monaco, et al.
Applied Sciences (2021) Vol. 11, Iss. 10, pp. 4381-4381
Open Access | Times Cited: 11
Dynamic Panel Surveillance of COVID-19 Transmission in the United States to Inform Health Policy: Observational Statistical Study (Preprint)
James F. Oehmke, Charles B. Moss, Lauren Nadya Singh, et al.
(2020)
Open Access | Times Cited: 9
A model and predictions for COVID-19 considering population behavior and vaccination
Thomas Usherwood, Zachary LaJoie, Vikas Srivast
Research Square (Research Square) (2021)
Closed Access | Times Cited: 5
Improving health across sectors: Best practices for the implementation of health in all policies approaches
Rachael Cain, Jacey Greece, Sandro Galea, et al.
Preventive Medicine Reports (2022) Vol. 29, pp. 101961-101961
Open Access | Times Cited: 1
Predicting COVID-19 in very large countries: The case of Brazil
Vanderlei Cunha Parro, M. L. M. Lafetá, Felipe Pait, et al.
PLoS ONE (2021) Vol. 16, Iss. 7, pp. e0253146-e0253146
Open Access | Times Cited: 1
Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis (Preprint)
Theresa B. Oehmke, Lori Ann Post, Charles B. Moss, et al.
(2020)
Open Access
A COVID-19 model incorporating variants, vaccination, waning immunity, and population behavior
Zachary LaJoie, Thomas Usherwood, Shailen Sampath, et al.
Research Square (Research Square) (2022)
Open Access
COVID-19 Surveillance Updates in US Metropolitan Areas: Dynamic Panel Data Modeling
Theresa B. Oehmke, Charles B. Moss, James F. Oehmke
JMIR Public Health and Surveillance (2021) Vol. 8, Iss. 2, pp. e28737-e28737
Open Access
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