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:

Spatio-temporal model to investigate COVID-19 spread accounting for the mobility amongst municipalities
Chellafe Ensoy-Musoro, Minh Hanh Nguyen, Niel Hens, et al.
Spatial and Spatio-temporal Epidemiology (2023) Vol. 45, pp. 100568-100568
Open Access | Times Cited: 4

Showing 4 citing articles:

Comparative analysis of epidemiological and Spatiotemporal patterns in seasonal influenza and COVID-19 outbreaks
H. J. Yang, Qingquan Chen, Xiaoyan Zheng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021
Minh Hanh Nguyen, Thi Huyen Trang Nguyen, Geert Molenberghs, et al.
BMC Infectious Diseases (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 5

Dynamics behavior of a novel infectious disease model considering population mobility on complex network
Yuyan Qin, Lixin Yang, Ziyu Gu
International Journal of Dynamics and Control (2024) Vol. 12, Iss. 7, pp. 2295-2309
Closed Access | Times Cited: 1

A Bayesian spatio-temporal Poisson auto-regressive model for the disease infection rate: application to COVID-19 cases in England
Pierfrancesco Alaimo Di Loro, Dankmar Böhning, Sujit K. Sahu
Journal of the Royal Statistical Society Series C (Applied Statistics) (2024)
Closed Access | Times Cited: 1

Transmission matrices used in epidemiologic modelling
Maria Bekker‐Nielsen Dunbar
Infectious Disease Modelling (2023) Vol. 9, Iss. 1, pp. 185-194
Open Access | Times Cited: 3

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