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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:

A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer’s Disease
Kasem Khalil, Mohammad Mahbubur Rahman Khan Mamun, Ahmed Sherif, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8272-8272
Open Access | Times Cited: 12

Showing 12 citing articles:

Enhancing Alzheimer’s disease classification through split federated learning and GANs for imbalanced datasets
G. Narayanee Nimeshika, D Subitha
PeerJ Computer Science (2024) Vol. 10, pp. e2459-e2459
Open Access | Times Cited: 6
An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under Uncertainty
Nanziba Basnin, Tanjim Mahmud, Raihan Ul Islam, et al.
Diagnostics (2025) Vol. 15, Iss. 1, pp. 80-80
Open Access
Privacy-Preserving Federated Learning with Homomorphic Encryption: Alzheimer’s Detection Use-Case
A. V. V. M Sri, Mahesh Kumar Morampudi, Sriya Alahari, et al.
Studies in computational intelligence (2025), pp. 111-125
Closed Access
Enhanced Heart Attack Detection with Neural Networks
Kasem Khalil, Md. Rahat Khan, Tamador Mohaidat, et al.
Lecture notes in networks and systems (2025), pp. 544-553
Closed Access
A Clustering-Based Federated Deep Learning Approach for Enhancing Diabetes Management with Privacy-Preserving Edge Artificial Intelligence
Xinyi Yang, Juan Li
Healthcare Analytics (2025), pp. 100392-100392
Open Access
Federated learning with multi‐cohort real‐world data for predicting the progression from mild cognitive impairment to Alzheimer's disease
Jinqian Pan, Zhengkang Fan, Glenn E. Smith, et al.
Alzheimer s & Dementia (2025) Vol. 21, Iss. 4
Open Access
A Novel Federated Learning Framework Based on Conditional Generative Adversarial Networks for Privacy Preserving in 6G
Jia Huang, Zhen Chen, Shengzheng Liu, et al.
Electronics (2024) Vol. 13, Iss. 4, pp. 783-783
Open Access | Times Cited: 1
Efficient Deep Learning Approach for Breast Cancer Detection
Kasem Khalil, Tamador Mohaidat, Mahmoud Darwich, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Enhancing Hardware Neural Networks with Self-Healing Perceptron Design
Tamador Mohaidat, Zhiqi Niu, Syed Azeemuddin, et al.
(2024), pp. 1-5
Closed Access
A distributed privacy preserving model for the detection of Alzheimer’s disease
Paul K. Mandal
Neural Computing and Applications (2024)
Closed Access
Revolutionizing Healthcare with Federated Learning: A Comprehensive Review
Snehlata Mishra, Ritu Tondon, Narendra Pal Singh Rathore
(2024), pp. 1-5
Closed Access
Privacy-by-Design with Federated Learning will drive future Rare Disease Research
Simon Süwer, Md Shihab Ullah, Niklas Probul, et al.
Journal of Neuromuscular Diseases (2024)
Closed Access
Efficient Deep Learning Approach for Arthritis Prediction
Kasem Khalil, Samiul Islam Niloy, Tamador Mohaidat, et al.
(2024), pp. 1-5
Closed Access
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