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:

THE ROLE OF THE MATHEMATICAL SCIENCES IN SUPPORTING THE COVID-19 RESPONSE IN AUSTRALIA AND NEW ZEALAND
James M. McCaw, Michael J. Plank
The ANZIAM Journal (2022) Vol. 64, Iss. 4, pp. 315-337
Open Access | Times Cited: 8

Showing 8 citing articles:

Near-term forecasting of Covid-19 cases and hospitalisations in Aotearoa New Zealand
Michael J. Plank, Leighton M. Watson, Oliver J. Maclaren
PLoS Computational Biology (2024) Vol. 20, Iss. 1, pp. e1011752-e1011752
Open Access | Times Cited: 2

Precision epidemiology at the nexus of mathematics and nanotechnology: Unraveling the dance of viral dynamics
Alaa A. A. Aljabali, Mohammad A. Obeid, Mohamed El‐Tanani, et al.
Gene (2024) Vol. 905, pp. 148174-148174
Closed Access | Times Cited: 2

Effective use of models in intelligence-to-decision workflows within and across One Health sectors
Kim M. Pepin, Keith M. Carlisle, Richard B. Chipman, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

A data science pipeline applied to Australia's 2022 COVID-19 Omicron waves
James M. Trauer, Angus Hughes, David S. Shipman, et al.
Infectious Disease Modelling (2024) Vol. 10, Iss. 1, pp. 99-109
Open Access

A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective
Epke A. Le Rutte, Andrew J. Shattock, Cheng Zhao, et al.
Epidemics (2023) Vol. 46, pp. 100734-100734
Open Access | Times Cited: 1

Near-term forecasting of Covid-19 cases and hospitalisations in Aotearoa New Zealand
Michael J. Plank, Leighton M. Watson, Oliver J. Maclaren
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

A Data Science Pipeline Applied to Australia’s 2022 COVID-19 Omicron Waves
James M. Trauer, Angus Hughes, David S. Shipman, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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