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:

Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review
Farrukh Saleem, Abdullah Alghamdi, Madini O. Alassafi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 9, pp. 5099-5099
Open Access | Times Cited: 33

Showing 26-50 of 33 citing articles:

Exploring Bifurcation in the Compartmental Mathematical Model of COVID-19 Transmission
Olena Kiseleva, Sergiy Yakovlev, Dmytro Chumachenko, et al.
Computation (2024) Vol. 12, Iss. 9, pp. 186-186
Open Access

Revolutionize Infectious Prevention Using Artificial Intelligence and Deep Learning
Dinesh Verma, Shweta Singh, Shivendra Dubey, et al.
Communications in computer and information science (2024), pp. 334-345
Closed Access

Transmission models of respiratory infections in carceral settings: A systematic review
Sara N. Levintow, Molly Remch, Emily Jones, et al.
Epidemics (2024) Vol. 50, pp. 100809-100809
Open Access

DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction
Chaoyue Sun, Ruogu Fang, Marco Salemi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

A sytematic study of covid-19 prediction models of India
Ameet Yadav, Chhavi Rana
Research Square (Research Square) (2022)
Open Access | Times Cited: 1

Multivariate Forecasting Model for COVID-19 Spread Based on Possible Scenarios in Ecuador
Juan Guamán, Karen Portilla, Paúl Arias-Muñoz, et al.
Mathematics (2023) Vol. 11, Iss. 23, pp. 4721-4721
Open Access

A Predictive Model for R0 (SARS-COV2)
Yasmany Fernández-Fernández, Sira M. Allende-Alonso, Ridelio Miranda-Pérez, et al.
2021 International Conference on Engineering and Emerging Technologies (ICEET) (2022), pp. 1-6
Closed Access

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