Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 82 citing articles:

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: 55
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
Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach
Hongru Du, Ensheng Dong, Hamada S. Badr, et al.
EBioMedicine (2023) Vol. 89, pp. 104482-104482
Open Access | Times Cited: 22
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
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
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
Does spatial information improve forecasting of influenza-like illness?
Gabrielle Thivierge, Aaron Rumack, F. William Townes
Epidemics (2025), pp. 100820-100820
Open 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
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
Usage of Compartmental Models in Predicting COVID-19 Outbreaks
Peijue Zhang, Kairui Feng, Yuqing Gong, et al.
The AAPS Journal (2022) Vol. 24, Iss. 5
Open Access | Times Cited: 20
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
Real-time mechanistic Bayesian forecasts of COVID-19 mortality
Graham Gibson, Nicholas G Reich, Daniel Sheldon
The Annals of Applied Statistics (2023) Vol. 17, Iss. 3
Open Access | Times Cited: 11
flepiMoP: The evolution of a flexible infectious disease modeling pipeline during the COVID-19 pandemic
Joseph C. Lemaitre, Sara L. Loo, Joshua Kaminsky, et al.
Epidemics (2024) Vol. 47, pp. 100753-100753
Open Access | Times Cited: 3
Infectious disease surveillance needs for the United States: lessons from Covid-19
Marc Lipsitch, Mary T. Bassett, John S. Brownstein, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 3
Machine learning for data-centric epidemic forecasting
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 3
Simulating and Forecasting the COVID-19 Spread in a U.S. Metropolitan Region with a Spatial SEIR Model
Faizeh Hatami, Shi Chen, Rajib Paul, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 23, pp. 15771-15771
Open Access | Times Cited: 14
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
Enhancing seasonal influenza projections: A mechanistic metapopulation model for long-term scenario planning
James Turtle, M. Ben-Nun, Pete Riley
Epidemics (2024) Vol. 47, pp. 100758-100758
Open Access | Times Cited: 2
Are current warning and responses systems suitable to respond to emerging infectious diseases?
Claudia Fernandez de Cordoba Farini
Research Directions One Health (2023) Vol. 1
Open Access | Times Cited: 7
Fine-Grained Forecasting of COVID-19 Trends at the County Level in the United States
Tzu‐Hsi Song, Leonardo Clemente, Xiang Pan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Covid19Vaxplorer: A free, online, user-friendly COVID-19 vaccine allocation comparison tool
Imelda Trejo, Pei-Yao Hung, Laura Matrajt
PLOS Global Public Health (2024) Vol. 4, Iss. 1, pp. e0002136-e0002136
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
Page 1 - Next Page

Scroll to top