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 variations of SIkJalpha model for COVID-19 forecasting and scenario projections
Ajitesh Srivastava
Epidemics (2023) Vol. 45, pp. 100729-100729
Open Access | Times Cited: 10
Ajitesh Srivastava
Epidemics (2023) Vol. 45, pp. 100729-100729
Open Access | Times Cited: 10
Showing 10 citing articles:
COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina
Erik Rosenstrom, Julie S. Ivy, María E. Mayorga, et al.
Epidemics (2024) Vol. 46, pp. 100752-100752
Open Access | Times Cited: 5
Erik Rosenstrom, Julie S. Ivy, María E. Mayorga, et al.
Epidemics (2024) Vol. 46, pp. 100752-100752
Open Access | Times Cited: 5
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
Joseph C. Lemaitre, Sara L. Loo, Joshua Kaminsky, et al.
Epidemics (2024) Vol. 47, pp. 100753-100753
Open Access | Times Cited: 3
COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy
Gontzal Sagastabeitia, Josu Doncel, José Aguilar, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 124930-124930
Open Access | Times Cited: 2
Gontzal Sagastabeitia, Josu Doncel, José Aguilar, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 124930-124930
Open Access | Times Cited: 2
Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub
Jiangzhuo Chen, Parantapa Bhattacharya, Stefan Hoops, et al.
Epidemics (2024) Vol. 48, pp. 100779-100779
Open Access | Times Cited: 1
Jiangzhuo Chen, Parantapa Bhattacharya, Stefan Hoops, et al.
Epidemics (2024) Vol. 48, pp. 100779-100779
Open Access | Times Cited: 1
Learning from the past: A short term forecast method for the COVID-19 incidence curve
Jean‐David Morel, Jean‐Michel Morel, Luis Álvarez
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1010790-e1010790
Open Access | Times Cited: 4
Jean‐David Morel, Jean‐Michel Morel, Luis Álvarez
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1010790-e1010790
Open Access | Times Cited: 4
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
Velma K. Lopez, Estee Y. Cramer, Robert R. Pagano, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for COVID-19 Forecasting
Subas Rana, Nasid Habib Barna, John A. Miller
Lecture notes in computer science (2023), pp. 18-33
Closed Access | Times Cited: 2
Subas Rana, Nasid Habib Barna, John A. Miller
Lecture notes in computer science (2023), pp. 18-33
Closed Access | Times Cited: 2
A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming
Gontzal Sagastabeitia, Josu Doncel, Antonio Fernández Anta, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-10
Closed Access
Gontzal Sagastabeitia, Josu Doncel, Antonio Fernández Anta, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-10
Closed Access
Preface: COVID-19 Scenario Modeling Hubs
Sara L. Loo, Matteo Chinazzi, Ajitesh Srivastava, et al.
Epidemics (2024) Vol. 48, pp. 100788-100788
Open Access
Sara L. Loo, Matteo Chinazzi, Ajitesh Srivastava, et al.
Epidemics (2024) Vol. 48, pp. 100788-100788
Open Access
Learning from the past: a short term forecast method for the COVID-19 incidence curve
Jean‐David Morel, Jean‐Michel Morel, Luis Álvarez
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Jean‐David Morel, Jean‐Michel Morel, Luis Álvarez
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
