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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:

Predicting an epidemic trajectory is difficult
Claus O. Wilke, Carl T. Bergstrom
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 46, pp. 28549-28551
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

The future of evolutionary medicine: sparking innovation in biomedicine and public health
Barbara Natterson-Horowitz, Athena Aktipis, Molly Fox, et al.
Frontiers in Science (2023) Vol. 1
Open Access | Times Cited: 31
Enhancing long-term forecasting: Learning from COVID-19 models
Hazhir Rahmandad, Ran Xu, Navid Ghaffarzadegan
PLoS Computational Biology (2022) Vol. 18, Iss. 5, pp. e1010100-e1010100
Open Access | Times Cited: 28
Bayesian sequential data assimilation for COVID-19 forecasting
Maria L. Daza–Torres, Marcos A. Capistrán, Antonio Capella, et al.
Epidemics (2022) Vol. 39, pp. 100564-100564
Open Access | Times Cited: 21
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 20
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications
Se Yoon Lee
Mathematics (2022) Vol. 10, Iss. 6, pp. 898-898
Open Access | Times Cited: 17
Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwide
Ekaterina Krymova, Benjamı́n Béjar, Dorina Thanou, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 32
Open Access | Times Cited: 16
Introducing simple models of social systems
Pablo Jensen
American Journal of Physics (2022) Vol. 90, Iss. 6, pp. 462-468
Open Access | Times Cited: 15
Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020
Robert Moss, David J. Price, Nick Golding, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Improving the Method for Simulating the Evolution of SAR-CoV-2 in the Form of Hybrid SIR Models for Predicting New COVID-19 Waves
A. Yu. Perevaryukha
Technical Physics Letters (2024)
Closed Access | Times Cited: 2
Modeling the evolution of SARS-CoV-2 under non-pharmaceutical interventions and testing
Yael Gurevich, Yoav Ram, Lilach Hadany
Evolution Medicine and Public Health (2022) Vol. 10, Iss. 1, pp. 179-188
Open Access | Times Cited: 13
Human behavior and disease dynamics
Carl T. Bergstrom, William P. Hanage
Proceedings of the National Academy of Sciences (2023) Vol. 121, Iss. 1
Open Access | Times Cited: 7
Likelihood-based estimation and prediction for a measles outbreak in Samoa
David Wu, Helen Petousis‐Harris, Janine Paynter, et al.
Infectious Disease Modelling (2023) Vol. 8, Iss. 1, pp. 212-227
Open Access | Times Cited: 5
Computational Modeling of Transformations of Epidemic Waves of BA.2.86/JN.1 SAR-COV-2 Coronavirus Variants on the Basis of Hybrid Oscillators
A. Yu. Perevaryukha
Technical Physics (2024)
Closed Access | Times Cited: 1
Model-based ensembles: Lessons learned from retrospective analysis of COVID-19 infection forecasts across 10 countries
Martin Drews, Pavan Kumar, R. K. Singh, et al.
The Science of The Total Environment (2021) Vol. 806, pp. 150639-150639
Open Access | Times Cited: 9
Inferring spatial source of disease outbreaks using maximum entropy
Mehrad Ansari, David Soriano‐Paños, Gourab Ghoshal, et al.
Physical review. E (2022) Vol. 106, Iss. 1
Open Access | Times Cited: 6
Effective pandemic policy design through feedback does not need accurate predictions
Klaske van Heusden, Greg Stewart, Sarah P. Otto, et al.
PLOS Global Public Health (2023) Vol. 3, Iss. 2, pp. e0000955-e0000955
Open Access | Times Cited: 3
Inferring China’s excess mortality during the COVID-19 pandemic using online mourning and funeral search volume
Li Huang, Oliver Zhen Li, Ximing Yin
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Modeling the evolution of SARS-CoV-2 under non-pharmaceutical interventions
Yael Gurevich, Yoav Ram, Lilach Hadany
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 6
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 6
Enhancing Epidemiological Surveillance Systems Using Dynamic Modeling: A Scoping Review
O. Olumide, Oluwafemi A. Sarumi, Adegboyega Adebayo
Lecture notes in networks and systems (2022), pp. 512-523
Closed Access | Times Cited: 4
A real-time forecasting framework for emerging infectious diseases affecting animal populations
Meryl Theng, Christopher M. Baker, Simin Lee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Method for Modeling the Transformation of Epidemic Scenarios during the Propagation of Waves of Convergent SARS-CoV-2 Variants
A. Yu. Perevaryukha
Technical Physics (2024) Vol. 69, Iss. 10, pp. 2551-2565
Closed Access
Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020
Robert Moss, David J. Price, Nick Golding, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Probabilistic predictions of SIS epidemics on networks based on population-level observations
Tanja Zerenner, Francesco Di Lauro, Masoumeh Dashti, et al.
Mathematical Biosciences (2022) Vol. 350, pp. 108854-108854
Open Access | Times Cited: 2
COVIDHunter: COVID-19 Pandemic Wave Prediction and Mitigation via Seasonality Aware Modeling
Mohammed Alser, Jeremie S. Kim, Nour Almadhoun Alserr, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 2
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