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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:

Determination of the Severity and Percentage of COVID-19 Infection through a Hierarchical Deep Learning System
Sergio Ortiz, Fernando Rojas, Olga Valenzuela, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 4, pp. 535-535
Open Access | Times Cited: 11

Showing 11 citing articles:

A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques
Kavitha Subramaniam, Natesan Palanisamy, A. S. Renugadevi, et al.
Soft Computing (2023) Vol. 27, Iss. 19, pp. 14219-14240
Open Access | Times Cited: 21
Medical Imaging-based Artificial Intelligence in Pneumonia: A Narrative Review
Yanping Yang, Wenyu Xing, Yiwen Liu, et al.
Neurocomputing (2025), pp. 129731-129731
Closed Access
A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity
Ali Khalili Fakhrabadi, Mehdi Jafari Shahbazzadeh, Nazanin Jalali, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Imaging Severity COVID-19 Assessment in Vaccinated and Unvaccinated Patients: Comparison of the Different Variants in a High Volume Italian Reference Center
Vincenza Granata, Roberta Fusco, Alberta Villanacci, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 6, pp. 955-955
Open Access | Times Cited: 15
A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning
Ismael Soto, Raul Zamorano-Illanes, Raimundo Becerra, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1533-1533
Open Access | Times Cited: 5
Three-Dimensional Postoperative Results Prediction for Orthognathic Surgery through Deep Learning-Based Alignment Network
Seung Hyun Jeong, Min Woo Woo, Dong Sun Shin, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 6, pp. 998-998
Open Access | Times Cited: 8
EffViT-COVID: A dual-path network for COVID-19 percentage estimation
Joohi Chauhan, Jatin Bedi
Expert Systems with Applications (2022) Vol. 213, pp. 118939-118939
Open Access | Times Cited: 8
Analysis of Convolutional Neural Networks With and Without Attention Mechanisms for Pneumonia and COVID-19 Disease Prediction
Noor Mohd, Sumit Singh, Tanmay Shukla, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 175-194
Closed Access
Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis
Changyu Wang, Siru Liu, Yu Tang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46340-e46340
Open Access | Times Cited: 1
Transfer learning-based CNN diagnostic framework for diagnosis of COVID-19 from lung CT images
R. Keerthana, Angelin Gladston, H. Khanna Nehemiah
The Imaging Science Journal (2022) Vol. 70, Iss. 7, pp. 413-438
Closed Access | Times Cited: 1
Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis (Preprint)
Changyu Wang, Siru Liu, Yu Tang, et al.
(2023)
Open Access
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