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:
Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain’s case study
Ignacio Heredia, Judith Sáinz-Pardo Díaz, María Castrillo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Ignacio Heredia, Judith Sáinz-Pardo Díaz, María Castrillo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Showing 8 citing articles:
An Overview of Forecast Analysis with ARIMA Models during the COVID-19 Pandemic: Methodology and Case Study in Brazil
Raydonal Ospina, João A. M. Gondim, Víctor Leiva, et al.
Mathematics (2023) Vol. 11, Iss. 14, pp. 3069-3069
Open Access | Times Cited: 56
Raydonal Ospina, João A. M. Gondim, Víctor Leiva, et al.
Mathematics (2023) Vol. 11, Iss. 14, pp. 3069-3069
Open Access | Times Cited: 56
An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries
Víctor Leiva, Esdras Alcudia, Julia Montano, et al.
Biology (2023) Vol. 12, Iss. 6, pp. 887-887
Open Access | Times Cited: 7
Víctor Leiva, Esdras Alcudia, Julia Montano, et al.
Biology (2023) Vol. 12, Iss. 6, pp. 887-887
Open Access | Times Cited: 7
Regulating Artificial Intelligence and Machine Learning-Enabled Medical Devices in Europe and the United Kingdom
Phoebe Li, Robin Williams, Stephen Gilbert, et al.
Law Technology and Humans (2023) Vol. 5, Iss. 2, pp. 94-113
Open Access | Times Cited: 7
Phoebe Li, Robin Williams, Stephen Gilbert, et al.
Law Technology and Humans (2023) Vol. 5, Iss. 2, pp. 94-113
Open Access | Times Cited: 7
A dynamic ensemble model for short-term forecasting in pandemic situations
Jonas Botz, Diego Valderrama, Jannis Guski, et al.
PLOS Global Public Health (2024) Vol. 4, Iss. 8, pp. e0003058-e0003058
Open Access | Times Cited: 1
Jonas Botz, Diego Valderrama, Jannis Guski, et al.
PLOS Global Public Health (2024) Vol. 4, Iss. 8, pp. e0003058-e0003058
Open Access | Times Cited: 1
Machine Learning for Prediction of Postoperative Delirium in Adult Patients: A Systematic Review and Meta-analysis
Hao Chen, Dongdong Yu, Jing Zhang, et al.
Clinical Therapeutics (2024) Vol. 46, Iss. 12, pp. 1069-1081
Closed Access | Times Cited: 1
Hao Chen, Dongdong Yu, Jing Zhang, et al.
Clinical Therapeutics (2024) Vol. 46, Iss. 12, pp. 1069-1081
Closed Access | Times Cited: 1
Inference Based on the Stochastic Expectation Maximization Algorithm in a Kumaraswamy Model with an Application to COVID-19 Cases in Chile
Jorge Figueroa-Zúñiga, Juan G. Toledo, Bernardo Lagos, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2894-2894
Open Access | Times Cited: 3
Jorge Figueroa-Zúñiga, Juan G. Toledo, Bernardo Lagos, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2894-2894
Open Access | Times Cited: 3
A dynamic ensemble model for short-term forecasting in pandemic situations
Jonas Botz, Diego Valderrama, Jannis Guski, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Jonas Botz, Diego Valderrama, Jannis Guski, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Predicting the transmission trends of COVID-19: an interpretable machine learning approach based on daily, death, and imported cases
Hyeonjeong Ahn, Hyojung Lee
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 5, pp. 6150-6166
Open Access
Hyeonjeong Ahn, Hyojung Lee
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 5, pp. 6150-6166
Open Access
