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:

Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period
Leandro Yukio Mano, Alesson M. Torres, Andres Giraldo Morales, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 6

Showing 6 citing articles:

Unveiling the ghost: machine learning’s impact on the landscape of virology
Sebastian Bowyer, David J. Allen, Nicholas Furnham
Journal of General Virology (2025) Vol. 106, Iss. 1
Closed Access

Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset
Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1132-1132
Open Access

COVID-19 Data Analysis: The Impact of Missing Data Imputation on Supervised Learning Model Performance
Jorge Daniel Mello-Román, Adrián Martínez-Amarilla
Computation (2025) Vol. 13, Iss. 3, pp. 70-70
Open Access

Classifying chest x-rays for COVID-19 through transfer learning: a systematic review
Devanshi Mallick, Arshdeep Singh, E. Y. K. Ng, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2

https://allacademicresearch.com/index.php/AJSTEME/article/view/89
Janifer Nahar, Nusrat Jahan, Sadia Afrin Shorna, et al.
Academic journal on science, technology, engineering & mathematics education. (2024) Vol. 4, Iss. 3, pp. 63-74
Open Access | Times Cited: 1

Integrating YOLO and 3D U-Net for COVID-19 Diagnosis on Chest CT Scans
Jorge Valverde-Rebaza, Guilherme Rettore Andreis, Pedro Shiguihara-Juárez, et al.
(2024), pp. 15-20
Closed Access | Times Cited: 1

Machine learning predicts pulmonary Long Covid sequelae using clinical data
Ermanno Cordelli, Paolo Soda, Sara Citter, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access

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