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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:

Potential diagnostic application of a novel deep learning- based approach for COVID-19
Alireza Sadeghi, Mahdieh Sadeghi, Ali Sharifpour, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network
Rukundo Prince, Zhendong Niu, Zahid Khan, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109659-109659
Closed Access | Times Cited: 1
Attention induced multi-head convolutional neural network organization with MobileNetv1 transfer learning and COVID-19 diagnosis using jellyfish search optimization process on chest X-ray images
M. Ramkumar, M. S. Gowtham, S. Syed Jamaesha, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106133-106133
Closed Access | Times Cited: 5
A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine
Alireza Sadeghi, Mahdieh Sadeghi, Mahdi Fakhar, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection
Md. Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb, et al.
AI Open (2025)
Open Access
Auto-compression transfer learning methodology for deep convolutional neural networks
José David Camacho Castillo, Carlos Villaseñor, Javier Gómez-Avila, et al.
Neurocomputing (2025), pp. 129661-129661
Closed Access
Artificial intelligence in COVID-19 research: A comprehensive survey of innovations, challenges, and future directions
Richard Annan, Letu Qingge
Computer Science Review (2025) Vol. 57, pp. 100751-100751
Closed Access
SARS-CoV-2 Evolution: Implications for Diagnosis, Treatment, Vaccine Effectiveness and Development
Fabrizio Angius, Silvia Puxeddu, S Zaimi, et al.
Vaccines (2024) Vol. 13, Iss. 1, pp. 17-17
Open Access | Times Cited: 3
Unsupervised generative learning-based decision-making system for COVID-19 detection
Neeraj Menon, Pooja Yadav, Vinayakumar Ravi, et al.
Health and Technology (2024) Vol. 14, Iss. 6, pp. 1267-1277
Closed Access | Times Cited: 1
An Integrated Framework for Early Differential Diagnosis of COVID-19 using Improved Fuzzy Cognitive Map Approaches
P. S. S. Akilashri, Govindasamy Nithya
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 23, pp. 2390-2400
Open Access | Times Cited: 1
Auto-Compression Transfer Learning Methodology for Deep Convolutional Neural Networks
José David Camacho Castillo, Carlos Villaseñor, Javier Gómez-Avila, et al.
(2024)
Closed Access
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