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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:

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
Estee Y. Cramer, Evan L Ray, Velma K. Lopez, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Thinking clearly about social aspects of infectious disease transmission
Caroline O. Buckee, Abdisalan M. Noor, Lisa Sattenspiel
Nature (2021) Vol. 595, Iss. 7866, pp. 205-213
Open Access | Times Cited: 129
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
Katharine Sherratt, Hugo Gruson, Rok Grah, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 56
Predictive performance of international COVID-19 mortality forecasting models
Joseph Friedman, Patrick Liu, Christopher Troeger, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 97
A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 70
Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates
Wen-Hao Chiang, Xueying Liu, George Mohler
International Journal of Forecasting (2021) Vol. 38, Iss. 2, pp. 505-520
Open Access | Times Cited: 60
Improving Pandemic Response: Employing Mathematical Modeling to Confront Coronavirus Disease 2019
Matthew Biggerstaff, Rachel B. Slayton, Michael A. Johansson, et al.
Clinical Infectious Diseases (2021) Vol. 74, Iss. 5, pp. 913-917
Open Access | Times Cited: 52
Deep learning for Covid-19 forecasting: State-of-the-art review.
Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, et al.
Neurocomputing (2022) Vol. 511, pp. 142-154
Open Access | Times Cited: 36
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA
Benjamín Lucas, Behzad Vahedi, Morteza Karimzadeh
International Journal of Data Science and Analytics (2022) Vol. 15, Iss. 3, pp. 247-266
Open Access | Times Cited: 34
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
The United States COVID-19 Forecast Hub dataset
Estee Y. Cramer, Yuxin Huang, Yijin Wang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 33
SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting
Roberto Vega, Leonardo Albitres Flores, Russell Greiner
Forecasting (2022) Vol. 4, Iss. 1, pp. 72-94
Open Access | Times Cited: 26
Comparing human and model-based forecasts of COVID-19 in Germany and Poland
Nikos I Bosse, Sam Abbott, Johannes Bracher, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010405-e1010405
Open Access | Times Cited: 26
EINNs: Epidemiologically-Informed Neural Networks
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14453-14460
Open Access | Times Cited: 12
Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level
Sophie Meakin, Sam Abbott, Nikos I Bosse, et al.
BMC Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 21
Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model
Nicola Parolini, Luca Dede’, Giovanni Ardenghi, et al.
Infectious Disease Modelling (2022) Vol. 7, Iss. 2, pp. 45-63
Open Access | Times Cited: 20
Forecasting with gradient boosted trees: augmentation, tuning, and cross-validation strategies
A. David Lainder, Russell D. Wolfinger
International Journal of Forecasting (2022) Vol. 38, Iss. 4, pp. 1426-1433
Closed 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
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic
Saskia Comess, Hannah Wang, Susan Holmes, et al.
Statistical Science (2022) Vol. 37, Iss. 2
Open Access | Times Cited: 12
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting
Dongxia Wu, Liyao Gao, Xinyue Xiong, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 15
The potential and challenges of Health 4.0 to face COVID-19 pandemic: a rapid review
Cecilia-Irene Loeza-Mejía, Eddy Sánchez-DelaCruz, Pilar Pozos-Parra, et al.
Health and Technology (2021) Vol. 11, Iss. 6, pp. 1321-1330
Open Access | Times Cited: 15
Transmission Dynamics and Short-Term Forecasts of COVID-19: Nepal 2020/2021
Sushma Dahal, Ruiyan Luo, Raj Kumar Subedi, et al.
Epidemiologia (2021) Vol. 2, Iss. 4, pp. 639-659
Open Access | Times Cited: 13
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 3174-3185
Open Access | Times Cited: 8
Policy and newly confirmed cases universally shape the human mobility during COVID-19
Kehan Li, Chao Li, Yinfeng Xiang, et al.
National Science Open (2022) Vol. 1, Iss. 1, pp. 20220003-20220003
Open Access | Times Cited: 8
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
Katharine Sherratt, Hugo Gruson, Rok Grah, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
Model uncertainty, the COVID-19 pandemic, and the science-policy interface
Henrik Thorén, Philip Gerlee
Royal Society Open Science (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 1
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