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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:

Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction?
Daniel J. McDonald, Jacob Bien, Alden Green, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 51
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
Estee Y. Cramer, Evan L Ray, Velma K. Lopez, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 15
Open Access | Times Cited: 216
The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination
Joshua A. Salomon, Alex Reinhart, Alyssa Bilinski, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 51
Open Access | Times Cited: 134
Sources, diffusion and prediction in COVID-19 pandemic: lessons learned to face next health emergency
Mario Coccia
AIMS Public Health (2023) Vol. 10, Iss. 1, pp. 145-168
Open Access | Times Cited: 87
Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States
Evan L Ray, Logan Brooks, Jacob Bien, et al.
International Journal of Forecasting (2022) Vol. 39, Iss. 3, pp. 1366-1383
Open Access | Times Cited: 42
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
Challenges of COVID-19 Case Forecasting in the US, 2020–2021
Velma K. Lopez, Estee Y. Cramer, Robert R. Pagano, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 5, pp. e1011200-e1011200
Open Access | Times Cited: 11
An open repository of real-time COVID-19 indicators
Alex Reinhart, Logan Brooks, Maria Jahja, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 51
Open Access | Times Cited: 45
Nowcasting reported covid-19 hospitalizations using de-identified, aggregated medical insurance claims data
Xueda Shen, Aaron Rumack, Bryan Wilder, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 2, pp. e1012717-e1012717
Open Access
Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review
Emily Clark, S Neumann, Stephanie Hopkins, et al.
JMIR Public Health and Surveillance (2023) Vol. 10, pp. e49185-e49185
Open Access | Times Cited: 14
An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM
Yangyi Zhang, Sui Tang, Yu Guo
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
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
Epidemic tracking and forecasting: Lessons learned from a tumultuous year
Roni Rosenfeld, Ryan J. Tibshirani
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 51
Open Access | Times Cited: 26
Understanding the leading indicators of hospital admissions from COVID-19 across successive waves in the UK
Jonathon Mellor, Christopher E. Overton, Martyn Fyles, et al.
Epidemiology and Infection (2023) Vol. 151
Open Access | Times Cited: 7
Comprehensive Clustering Analysis and Profiling of COVID-19 Vaccine Hesitancy and Related Factors across U.S. Counties: Insights for Future Pandemic Responses
Morteza Maleki, SeyedAli Ghahari
Healthcare (2024) Vol. 12, Iss. 15, pp. 1458-1458
Open Access | Times Cited: 2
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
Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data
Ben Rochford, Sachin R. Pendse, Neha Kumar, et al.
JMIR Mental Health (2022) Vol. 10, pp. e43253-e43253
Open Access | Times Cited: 8
Inferring skin–brain–skin connections from infodemiology data using dynamic Bayesian networks
Marco Scutari, Delphine Kérob, Samir Salah
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Flusion: Integrating multiple data sources for accurate influenza predictions
Evan L Ray, Yijin Wang, Russell D. Wolfinger, et al.
Epidemics (2024) Vol. 50, pp. 100810-100810
Open Access | Times Cited: 1
COVIDNearTerm: A simple method to forecast COVID-19 hospitalizations
Adam B. Olshen, Ariadna Garcia, Kristopher Kapphahn, et al.
Journal of Clinical and Translational Science (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 7
Collaborative modeling key to improving outbreak response
Nicholas G Reich, Evan L Ray
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 14
Open Access | Times Cited: 6
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts
Felix Drinkall, Stefan Zohren, Janet B. Pierrehumbert
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 6
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources
Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 1594-1603
Closed Access | Times Cited: 6
Challenges of COVID-19 Case Forecasting in the US, 2020-2021
Velma K. Lopez, Estee Y. Cramer, Robert R. Pagano, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
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
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