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.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 33

Showing 1-25 of 33 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
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
A multi-city COVID-19 categorical forecasting model utilizing wastewater-based epidemiology
Naomi Rankin, Samee Saiyed, Hongru Du, et al.
The Science of The Total Environment (2025) Vol. 960, pp. 178172-178172
Open Access | Times Cited: 1
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
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
Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States
Lucas M. Stolerman, Leonardo Clemente, Canelle Poirier, et al.
Science Advances (2023) Vol. 9, Iss. 3
Open Access | Times Cited: 25
A data-driven approach to study temporal characteristics of COVID-19 infection and death Time Series for twelve countries across six continents
Sabyasachi Guharay
BMC Medical Research Methodology (2025) Vol. 25, Iss. 1
Open Access
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
Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations
Lace Padilla, Racquel Fygenson, Spencer C. Castro, et al.
IEEE Transactions on Visualization and Computer Graphics (2022), pp. 1-11
Open Access | Times Cited: 21
Pre-registration of mathematical models
John P. A. Ioannidis
Mathematical Biosciences (2022) Vol. 345, pp. 108782-108782
Open Access | Times Cited: 18
GECCO'2022 Symbolic Regression Competition: Post-Analysis of the Operon Framework
Bogdan Burlacu
(2023), pp. 2412-2419
Closed Access | Times Cited: 9
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
COVID-19 hospitalizations forecasts using internet search data
Tao Wang, Simin Ma, Soobin Baek, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11
Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data
Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4279-4289
Open Access | Times Cited: 10
Joint COVID-19 and influenza-like illness forecasts in the United States using internet search information
Simin Ma, Shaoyang Ning, Shihao Yang
Communications Medicine (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 5
Examining the COVID-19 case growth rate due to visitor vs. local mobility in the United States using machine learning
Satya Katragadda, Ravi Teja Bhupatiraju, Vijay V. Raghavan, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
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
Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations
Lace Padilla, Racquel Fygenson, Spencer C. Castro, et al.
(2022)
Open Access | Times Cited: 7
Community incidence patterns drive the risk of SARS-CoV-2 outbreaks and alter intervention impacts in a high-risk institutional setting
Sean M. Moore, Guido España, T. Alex Perkins, et al.
Epidemics (2023) Vol. 43, pp. 100691-100691
Open Access | Times Cited: 3
Simple decision rules to predict local surges in COVID-19 hospitalizations during the winter and spring of 2022
Reza Yaesoubi, Shiying You, Qin Xi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 8
Chimeric forecasting: combining probabilistic predictions from computational models and human judgment
Thomas McAndrew, Allison Codi, Juan Cambeiro, et al.
BMC Infectious Diseases (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 4
Predictive power of wastewater for nowcasting infectious disease transmission: a retrospective case study of five sewershed areas in Louisville, Kentucky
Fayette Klaassen, Rochelle H. Holm, Ted Smith, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Forecasting COVID-19, Influenza and RSV hospitalisations over winter 2023/24 in England
Jonathon Mellor, Maria Tang, Owen Jones, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Multi-City COVID-19 Categorical Forecasting Model Utilizing Wastewater-Based Epidemiology
Naomi Rankin, Samee Saiyed, Hongru Du, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Quantifying the impact of prevalence-dependent adaptive behavior on COVID-19 transmission: a modeling case study in Maryland
Alexander Tulchinsky, Gary Lin, Alisa Hamilton, et al.
Epidemics (2024) Vol. 49, pp. 100799-100799
Open Access
Page 1 - Next Page

Scroll to top