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:

Iterative data-driven forecasting of the transmission and management of SARS-CoV-2/COVID-19 using social interventions at the county-level
Ken Newcomb, Morgan E. Smith, Rose E. Donohue, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

Projections of the transmission of the Omicron variant for Toronto, Ontario, and Canada using surveillance data following recent changes in testing policies
Pei Yuan, Elena Aruffo, Yi Tan, et al.
Infectious Disease Modelling (2022) Vol. 7, Iss. 2, pp. 83-93
Open Access | Times Cited: 20

Assessing the mechanism of citywide test-trace-isolate Zero-COVID policy and exit strategy of COVID-19 pandemic
Pei Yuan, Yi Tan, Liu Yang, et al.
Infectious Diseases of Poverty (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 13

Advancing Public Health Surveillance: Integrating Modeling and GIS in the Wastewater-Based Epidemiology of Viruses, a Narrative Review
Diego F. Cuadros, Xi Chen, Jingjing Li, et al.
Pathogens (2024) Vol. 13, Iss. 8, pp. 685-685
Open Access | Times Cited: 2

Forecasting COVID-19 cases by assessing control-intervention effects in Republic of Korea: A statistical modeling approach
Hyojung Lee, Geunsoo Jang, Giphil Cho
Alexandria Engineering Journal (2022) Vol. 61, Iss. 11, pp. 9203-9217
Open Access | Times Cited: 10

Combining predictive models with future change scenarios can produce credible forecasts of COVID-19 futures
Ken Newcomb, Shakir Bilal, Edwin Michael
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0277521-e0277521
Open Access | Times Cited: 5

Interplay between COVID-19 vaccines and social measures for ending the SARS-CoV-2 pandemic
Glenn Young, Pengcheng Xiao, Ken Newcomb, et al.
F1000Research (2022) Vol. 10, pp. 803-803
Open Access | Times Cited: 3

Quantitative Analysis of Group for Epidemiology Architectural Approach
Dephney Mathebula
Annals of Data Science (2023) Vol. 11, Iss. 3, pp. 979-1001
Open Access | Times Cited: 1

Data-driven scenario-based model projections and management of the May 2021 COVID-19 resurgence in India
Edwin Michael, Ken Newcomb, Anuj Mubayi
PLOS Global Public Health (2022) Vol. 2, Iss. 12, pp. e0001382-e0001382
Open Access | Times Cited: 2

Monte Carlo model for simultaneous spread of two variants of a virus in a population
Kh. Tarnev, Nikolay K. Vitanov
AIP conference proceedings (2023) Vol. 2939, pp. 090009-090009
Closed Access

Data-Driven Approach Study for the Prediction and Detection of Infectious Disease Outbreak
Maheswata Moharana, Akalabya Bissoyi, Fahmida Khan, et al.
(2022), pp. 115-129
Closed Access

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