Open Access Helper

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:

The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management
Lindybeth Sarmiento Varón, Jorge González-Puelma, David Medina-Ortiz, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 9

Showing 9 citing articles:

Machine learning and public health policy evaluation: research dynamics and prospects for challenges
Z.-J Li, Hui Zhou, Zhen Xu, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Machine Learning Approaches to Predict Asthma Exacerbations: A Narrative Review
Néstor A. Molfino, Gianluca Turcatel, Daniel J. Riskin
Advances in Therapy (2023) Vol. 41, Iss. 2, pp. 534-552
Open Access | Times Cited: 15
Emerging applications of artificial intelligence in pathogen genomics
C. J. E. Suster, David Pham, Jen Kok, et al.
Frontiers in Bacteriology (2024) Vol. 3
Open Access | Times Cited: 2
NeurostimML: a machine learning model for predicting neurostimulation-induced tissue damage
Yi Li, Rebecca A. Frederick, Daniel George, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036054-036054
Open Access | Times Cited: 2
Assessing the impact of vaccines on COVID-19 efficacy in survival rates: a survival analysis approach for clinical decision support
J Rodriguez, Andreea M. Oprescu, Sergio Muñoz Lezcano, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage
Yi Li, Rebecca A. Frederick, Daniel George, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Precision Epidemiology: A Computational Analysis of the Impact of Algorithmic Prediction on the Relationship Between Population Epidemiology and Clinical Epidemiology
Elena Esposito, Paola Angelini, Sebastian Schneider
International Journal of Public Health (2024) Vol. 69
Open Access
Machine Learning Based in Quantum Mechanics and Theorem of Bayes
Huber Nieto–Chaupis
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2024), pp. 1-6
Closed Access
Reply to: Microvascular hypertensive disease, long COVID, and end-organ pathology
Chisa Matsumoto
Hypertension Research (2023) Vol. 46, Iss. 9, pp. 2249-2250
Closed Access
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