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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:

Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation
Kristen Nixon, Sonia Jindal, Felix Parker, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 10, pp. e699-e701
Open Access | Times Cited: 18

Showing 18 citing articles:

A multi-city COVID-19 categorical forecasting model utilizing wastewater-based epidemiology
Naomi Rankin, Samee Saiyed, Hongru Du, et al.
The Science of The Total Environment (2025) Vol. 960, pp. 178172-178172
Open Access | Times Cited: 1
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study
Hao Yang, Hongru Du, Jianan Zhao, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 4
When are predictions useful? A new method for evaluating epidemic forecasts
Maximilian Marshall, Felix Parker, Lauren A. Gardner
BMC Global and Public Health (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread
Hilla De-Leon, Dvir Aran
Journal of Biomedical Informatics (2023) Vol. 141, pp. 104364-104364
Open Access | Times Cited: 4
LESSONS LEARNED FROM COVID-19 MODELLING EFFORTS FOR POLICY DECISION-MAKING IN LOWER- AND MIDDLE-INCOME COUNTRIES
Collins J. Owek, Fatuma Guleid, Justinah Maluni, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Building in-house capabilities in health agencies and outsourcing to academia or industry: considerations for effective infectious disease modelling
Rachael Pung, Adam Kucharski
Epidemics (2024), pp. 100802-100802
Open Access | Times Cited: 1
Lessons learned from COVID-19 modelling efforts for policy decision-making in lower- and middle-income countries
Collins J. Owek, Fatuma Guleid, Justinah Maluni, et al.
BMJ Global Health (2024) Vol. 9, Iss. 11, pp. e015247-e015247
Open Access | Times Cited: 1
Scalable Strategies to Increase Efficiency and Augment Public Health Activities During Epidemic Peaks
Dana K. Pasquale, Whitney Welsh, Andrew Olson, et al.
Journal of Public Health Management and Practice (2023) Vol. 29, Iss. 6, pp. 863-873
Open Access | Times Cited: 2
A Multi-City COVID-19 Categorical Forecasting Model Utilizing Wastewater-Based Epidemiology
Naomi Rankin, Samee Saiyed, Hongru Du, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Evaluation and communication of pandemic scenarios
Philip Gerlee, Henrik Thorén, Anna Jöud, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 8, pp. e543-e544
Open Access
Policy impact of the Imperial College COVID-19 Response Team: global perspective and UK case study
Sabine van Elsland, Ryan O’Hare, Ruth McCabe, et al.
Research Square (Research Square) (2024)
Open Access
Prediction of daily new COVID-19 cases ‐ Difficulties and possible solutions
Xiaoping Liu, A. Courtney DeVries
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0307092-e0307092
Open Access
Policy impact of the Imperial College COVID-19 Response Team: global perspective and United Kingdom case study
Sabine van Elsland, Ryan O’Hare, Ruth McCabe, et al.
Health Research Policy and Systems (2024) Vol. 22, Iss. 1
Open Access
When are predictions useful? a new method for evaluating epidemic forecasts
Maximilian Marshall, Felix Parker, Lauren Gardner
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
On the Mark: Modeling and Forecasting for Public Health Impact
Mark J. Panaggio, Shelby Wilson, Jeremy Ratcliff, et al.
Health Security (2023) Vol. 21, Iss. S1, pp. S79-S88
Open Access | Times Cited: 1
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
Prediction of Daily New COVID-19 Cases - Difficulties and Possible Solutions
Xiaoping Liu
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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