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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:

Collaborative Hubs: Making the Most of Predictive Epidemic Modeling
Nicholas G Reich, Justin Lessler, Sebastian Funk, et al.
American Journal of Public Health (2022) Vol. 112, Iss. 6, pp. 839-842
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

The United States COVID-19 Forecast Hub dataset
Estee Y. Cramer, Yuxin Huang, Yijin Wang, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 82
Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics
Ginestra Bianconi, Àlex Arenas, Jacob Biamonte, et al.
Journal of Physics Complexity (2023) Vol. 4, Iss. 1, pp. 010201-010201
Open Access | Times Cited: 46
Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty
Emily Howerton, Lucie Contamin, Luke C. Mullany, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 32
Context-dependent representation of within- and between-model uncertainty: aggregating probabilistic predictions in infectious disease epidemiology
Emily Howerton, Michael C. Runge, Tiffany L. Bogich, et al.
Journal of The Royal Society Interface (2023) Vol. 20, Iss. 198
Open Access | Times Cited: 24
Multiple models for outbreak decision support in the face of uncertainty
Katriona Shea, Rebecca K. Borchering, William J. M. Probert, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 18
Open Access | Times Cited: 21
Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations
Sarabeth Mathis, Alexander E. Webber, Tomás M. León, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
Scenario design for infectious disease projections: Integrating concepts from decision analysis and experimental design
Michael C. Runge, Katriona Shea, Emily Howerton, et al.
Epidemics (2024) Vol. 47, pp. 100775-100775
Open Access | Times Cited: 8
A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US
Matteo Chinazzi, Jessica T. Davis, Ana Pastore y Piontti, et al.
Epidemics (2024) Vol. 47, pp. 100757-100757
Open Access | Times Cited: 7
Public health impact of the U.S. Scenario Modeling Hub
Rebecca K. Borchering, Jessica M. Healy, Betsy L. Cadwell, et al.
Epidemics (2023) Vol. 44, pp. 100705-100705
Open Access | Times Cited: 17
Scoring epidemiological forecasts on transformed scales
Nikos I Bosse, Sam Abbott, Anne Cori, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011393-e1011393
Open Access | Times Cited: 16
Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic
Amanda Bleichrodt, Ruiyan Luo, Alexander Kirpich, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 7
Open Access | Times Cited: 6
Collaborative forecasting of influenza-like illness in Italy: The Influcast experience
Stefania Fiandrino, Andrea Bizzotto, Giorgio Guzzetta, et al.
Epidemics (2025) Vol. 50, pp. 100819-100819
Open Access
Mechanistic models are hypotheses: A perspective
John W. Glasser, Zhilan Feng
Mathematical Biosciences (2025), pp. 109419-109419
Closed Access
The US COVID-19 and Influenza Scenario Modeling Hubs: Delivering long-term projections to guide policy
Sara L. Loo, Emily Howerton, Lucie Contamin, et al.
Epidemics (2023) Vol. 46, pp. 100738-100738
Open Access | Times Cited: 12
Ensemble2: Scenarios ensembling for communication and performance analysis
Clara Bay, Guillaume St-Onge, Jessica T. Davis, et al.
Epidemics (2024) Vol. 46, pp. 100748-100748
Open Access | Times Cited: 4
Characterising information gains and losses when collecting multiple epidemic model outputs
Katharine Sherratt, Ajitesh Srivastava, Kylie E. C. Ainslie, et al.
Epidemics (2024) Vol. 47, pp. 100765-100765
Open Access | Times Cited: 4
When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting
La Keisha Wade-Malone, Emily Howerton, William J. M. Probert, et al.
Epidemics (2024) Vol. 47, pp. 100767-100767
Open Access | Times Cited: 4
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
Model Diagnostics and Forecast Evaluation for Quantiles
Tilmann Gneiting, Daniel Wolffram, Johannes Resin, et al.
Annual Review of Statistics and Its Application (2022) Vol. 10, Iss. 1, pp. 597-621
Open Access | Times Cited: 20
Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub
Sung-mok Jung, Sara L. Loo, Emily Howerton, et al.
PLoS Medicine (2024) Vol. 21, Iss. 4, pp. e1004387-e1004387
Open Access | Times Cited: 3
Multimodeling approach to evaluating the efficacy of layering pharmaceutical and nonpharmaceutical interventions for influenza pandemics
Pragati Prasad, Molly Steele, Carrie Reed, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 28
Open Access | Times Cited: 8
Optimizing the number of models included in outbreak forecasting ensembles
Spencer J. Fox, Minsu Kim, Lauren Ancel Meyers, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Optimizing Disease Outbreak Forecast Ensembles
Spencer J. Fox, Minsu Kim, Lauren Ancel Meyers, et al.
Emerging infectious diseases (2024) Vol. 30, Iss. 9
Open Access | Times Cited: 2
Scoring epidemiological forecasts on transformed scales
Nikos I Bosse, Sam Abbott, Anne Cori, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Informing pandemic response in the face of uncertainty.An evaluation of the U.S. COVID-19 Scenario Modeling Hub
Emily Howerton, Lucie Contamin, Luke C. Mullany, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
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