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:

Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil
João Alexandre Lôbo Marques, Francisco Nauber Bernardo Gois, José Xavier‐Neto, et al.
SpringerBriefs in applied sciences and technology (2020), pp. 89-98
Closed Access | Times Cited: 4

Showing 4 citing articles:

Predictive Models for Decision Support in the COVID-19 Crisis
João Alexandre Lôbo Marques, Francisco Nauber Bernardo Gois, José Xavier‐Neto, et al.
SpringerBriefs in applied sciences and technology (2020)
Closed Access | Times Cited: 28

K-Means Algorithm Analysis for Election Cluster Prediction
Sri Ngudi Wahyuni, Nazmun Nahar Khanom, Yuli Astuti
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 1, pp. 1-1
Open Access | Times Cited: 6

Research and Technology Development Achievements During the COVID-19 Pandemic—An Overview
João Alexandre Lôbo Marques, Simon Fong, G. Li, et al.
Springer eBooks (2022), pp. 1-15
Closed Access

The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID19 Pandemic
Simon Fong, João Alexandre Lôbo Marques, Gloria Li, et al.
Springer eBooks (2022), pp. 103-139
Closed Access

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