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:

COVID-19 Classification from X-Ray Images: An Approach to Implement Federated Learning on Decentralized Dataset
Ali Akbar Siddique, Syed Muhammad Umar Talha, Mr. Aamir, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 2, pp. 3883-3901
Open Access | Times Cited: 6

Showing 6 citing articles:

The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study
Fatimah Al-Hafiz, Abdullah Basuhail
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 1, pp. 11-11
Open Access | Times Cited: 1

Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in Green Internet of Things (IoT)
Ali Akbar Siddique, Nada Alasbali, Maha Driss, et al.
Internet of Things (2023) Vol. 25, pp. 101013-101013
Open Access | Times Cited: 17

Optimizing Tumor Classification Through Transfer Learning and Particle Swarm Optimization-Driven Feature Extraction
Ali Akbar Siddique, Asif Raza, Mohammed S. Alshehri, et al.
IEEE Access (2024) Vol. 12, pp. 85929-85939
Open Access | Times Cited: 5

Ensemble learning for multi-class COVID-19 detection from big data
Sarah Kaleem, Adnan Sohail, Muhammad Usman Tariq, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292587-e0292587
Open Access | Times Cited: 10

Contemporary Study for Detection of COVID-19 Using Machine Learning with Explainable AI
Saad Akbar, Humera Azam, Sulaiman Sulmi Almutairi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 1075-1104
Open Access | Times Cited: 2

Performance evaluation of federated learning algorithms using breast cancer dataset
Sakinat Oluwabukonla Folorunso, Joseph Bamidele Awotunde, Abdullahi Abubakar Kawu, et al.
Elsevier eBooks (2024), pp. 95-114
Closed Access

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