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:

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
Hafsa Bareen Syeda, Mahanazuddin Syed, Kevin W. Sexton, et al.
JMIR Medical Informatics (2020) Vol. 9, Iss. 1, pp. e23811-e23811
Open Access | Times Cited: 137

Showing 1-25 of 137 citing articles:

Machine Learning in Healthcare Communication
Sarkar Siddique, J Chow
Encyclopedia (2021) Vol. 1, Iss. 1, pp. 220-239
Open Access | Times Cited: 133

Analytics of machine learning-based algorithms for text classification
Sayar Ul Hassan, Jameel Ahamed, Khaleel Ahmad
Sustainable Operations and Computers (2022) Vol. 3, pp. 238-248
Open Access | Times Cited: 77

Bridging the Gap Between AI and Explainability in the GDPR: Towards Trustworthiness-by-Design in Automated Decision-Making
Ronan Hamon, H. Junklewitz, Ignacio Sanchez, et al.
IEEE Computational Intelligence Magazine (2022) Vol. 17, Iss. 1, pp. 72-85
Closed Access | Times Cited: 67

Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110511-110511
Open Access | Times Cited: 40

Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?
David Leslie, Anjali Mazumder, Aidan Peppin, et al.
BMJ (2021), pp. n304-n304
Open Access | Times Cited: 65

Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework
Anita S. Kini, A. Nanda Gopal Reddy, Manjit Kaur, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 39

Deep learning for Covid-19 forecasting: State-of-the-art review.
Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, et al.
Neurocomputing (2022) Vol. 511, pp. 142-154
Open Access | Times Cited: 35

Machine learning Helps in Quickly Diagnosis Cases of "New Corona"
Maad M. Mijwil, Ioannis Adamopoulos, Pramila Thapa
Mesopotamian Journal of Artificial Intelligence in Healthcare (2024) Vol. 2024, pp. 16-19
Open Access | Times Cited: 11

AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods
Muhammad Usman Tariq, Shuhaida Ismail
Osong Public Health and Research Perspectives (2024) Vol. 15, Iss. 2, pp. 115-136
Open Access | Times Cited: 11

The Internet of Medical Things (IoMT): opportunities and challenges
Ayman A. El‐Saleh, Abdul Manan Sheikh, Mahmoud A. Albreem, et al.
Wireless Networks (2024)
Closed Access | Times Cited: 6

Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Critical Determinants of COVID-19 Severity and Predictive Modeling for Healthcare Optimization
Uallah Hammad, Ali Rija, Ali Saâd, et al.
Global Journal of Medical and Clinical Case Reports (2025) Vol. 12, Iss. 1, pp. 004-010
Open Access

The feasibility of using machine learning to predict COVID-19 cases
Shan Chen, Yuanzhao Ding
International Journal of Medical Informatics (2025) Vol. 196, pp. 105786-105786
Closed Access

On the role of artificial intelligence in medical imaging of COVID-19
Jannis Born, David Beymer, Deepta Rajan, et al.
Patterns (2021) Vol. 2, Iss. 6, pp. 100269-100269
Open Access | Times Cited: 52

Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare
Susan C. Shelmerdine, Owen J. Arthurs, Alastair K. Denniston, et al.
BMJ Health & Care Informatics (2021) Vol. 28, Iss. 1, pp. e100385-e100385
Open Access | Times Cited: 50

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification
Bruno Barros, Paulo Lacerda, Célio Albuquerque, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5486-5486
Open Access | Times Cited: 43

Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead
Amina Adadi, Mohammed Lahmer, Samia Nasiri
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 5898-5920
Open Access | Times Cited: 42

Impedimetric Sensing: An Emerging Tool for Combating the COVID-19 Pandemic
Victor Ong, Ali Soleimani, Farbod Amirghasemi, et al.
Biosensors (2023) Vol. 13, Iss. 2, pp. 204-204
Open Access | Times Cited: 15

Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14

COVID-19 Pediatric Follow-Up: Respiratory Long COVID-Associated Comorbidities and Lung Ultrasound Alterations in a Cohort of Italian Children
Cristiana Indolfi, Angela Klain, Giulio Dinardo, et al.
Children (2024) Vol. 11, Iss. 2, pp. 166-166
Open Access | Times Cited: 5

Research Handbook on Health, AI and the Law

Edward Elgar Publishing eBooks (2024)
Open Access | Times Cited: 5

An Ensemble Learning Approach for Detection of COVID-19 Using Chest X-Ray
Aritra Nandi, Shivam Yadav, Asmita Hobisyashi, et al.
Lecture notes in networks and systems (2023), pp. 237-244
Closed Access | Times Cited: 14

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