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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:

CODENET: A deep learning model for COVID-19 detection
Hong Ju, Yanyan Cui, Qiaosen Su, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108229-108229
Closed Access | Times Cited: 11

Showing 11 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: 2
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 | Times Cited: 1
Advancing Pulmonary Infection Diagnosis: A Comprehensive Review of Deep Learning Approaches in Radiological Data Analysis
Sapna Yadav, Syed A. Rizvi, Pankaj Agarwal
Archives of Computational Methods in Engineering (2025)
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
Recurrent neural network-based automated early detection of pandemic-prone diseases through symptoms analysis
Aditika Tungal, Kuldeep Singh, Prabhsimran Singh, et al.
Discover Social Science and Health (2025) Vol. 5, Iss. 1
Open Access
Attention-Enhanced Hybrid Cnn-Lstm Network with Self-Adaptive Cbam for Covid-19 Diagnosis
Fatin Nabilah Shaari, Aimi Salihah Abdul Nasir, Wan Azani Mustafa, et al.
(2025)
Closed Access
A Novel Computer-Aided Approach for Predicting COVID-19 Severity Using Hyperparameters in ResNet50v2 from X-ray Images
Rahul Deva, Arvind Dagur
International Journal of experimental research and review (2024) Vol. 42, pp. 120-132
Open Access | Times Cited: 3
Leveraging deep transfer learning and explainable AI for accurate COVID-19 diagnosis: Insights from a multi-national chest CT scan study
Nhat Truong Pham, Jinsol Ko, Masaud Shah, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109461-109461
Closed Access | Times Cited: 2
Privacy-Centric Multi-Class Detection of COVID 19 Through Breathing Sounds and Chest X-Ray Images: Blockchain and Optimized Neural Networks
Asha Latha Thandu, G. Pradeepini
IEEE Access (2024) Vol. 12, pp. 89968-89985
Open Access | Times Cited: 1
Novel Automatic Classification of Human Adult Lung Alveolar Type II Cells Infected with SARS-CoV-2 through Deep Transfer Learning Approach
Turki Turki, Sarah Al Habib, Y‐h. Taguchi
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review
Nurjahan, Md. Mahbub-Or-Rashid, Md. Shahriare Satu, et al.
Iran Journal of Computer Science (2024) Vol. 7, Iss. 3, pp. 699-721
Closed Access
Novel Automatic Classification of Human Adult Lung Alveolar Type II Cells Infected with SARS-CoV-2 through the Deep Transfer Learning Approach
Turki Turki, Sarah Al Habib, Y‐h. Taguchi
Mathematics (2024) Vol. 12, Iss. 10, pp. 1573-1573
Open Access
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