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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:

Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor
Thang Ngo, Dinh C. Nguyen, Pubudu N. Pathirana, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 803-811
Open Access | Times Cited: 17

Showing 17 citing articles:

IOFL: Intelligent-Optimization-Based Federated Learning for Non-IID Data
Xinyan Li, Huimin Zhao, Wu Deng
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 9, pp. 16693-16699
Closed Access | Times Cited: 18
PPFLHE: A privacy-preserving federated learning scheme with homomorphic encryption for healthcare data
Bo Wang, Hongtao Li, Yina Guo, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110677-110677
Closed Access | Times Cited: 31
A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges
Manu Narula, Jasraj Meena, Dinesh Kumar Vishwakarma
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108128-108128
Closed Access | Times Cited: 7
Applications and Challenges of Federated Learning Paradigm in the Big Data Era with Special Emphasis on COVID-19
Abdul Majeed, Xiaohan Zhang, Seong Oun Hwang
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 4, pp. 127-127
Open Access | Times Cited: 19
Predictive machine learning and multimodal data to develop highly sensitive, composite biomarkers of disease progression in Friedreich Ataxia
Susmita Saha, Louise A. Corben, Louisa P. Selvadurai, et al.
Research Square (Research Square) (2025)
Closed Access
A Review of Neuro-ML Breakthroughs in Addressing Neurological Disorders
Cosmina-Mihaela Roșca, Adrian Stancu
Applied Sciences (2025) Vol. 15, Iss. 10, pp. 5442-5442
Open Access
Predictive machine learning and multimodal data to develop highly sensitive, composite biomarkers of disease progression in Friedreich ataxia
Susmita Saha, Louise A. Corben, Louisa P. Selvadurai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Pneumonia Detection from X-ray images using Federated Learning- An unsupervised learning approach
Neeta Rana, Hitesh Marwaha
Measurement Sensors (2024), pp. 101410-101410
Open Access | Times Cited: 3
Role of federated learning in healthcare systems: A survey
Neeta Rana, Hitesh Marwaha
Mathematical Foundations of Computing (2023) Vol. 7, Iss. 4, pp. 459-484
Open Access | Times Cited: 5
Technological Evolution in the Instrumentation of Ataxia Severity Measurement
Thang Ngo, Pubudu N. Pathirana, Malcolm Horne, et al.
IEEE Access (2023) Vol. 11, pp. 14006-14027
Open Access | Times Cited: 4
Privacy-Preserving Realization of Fuzzy Clustering and Fuzzy Modeling Through Vertical Federated Learning
Xiubin Zhu, Dan Wang, Witold Pedrycz, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 2, pp. 915-924
Closed Access | Times Cited: 4
Exploring Deep Federated Learning for the Internet of Things: A GDPR-Compliant Architecture
Zahra Abbas, Sunila Fatima Ahmad, Madiha Haider Syed, et al.
IEEE Access (2023) Vol. 12, pp. 10548-10574
Open Access | Times Cited: 4
Federated learning in healthcare applications
Prasad Kanhegaonkar, Surya Prakash
Elsevier eBooks (2024), pp. 157-196
Closed Access | Times Cited: 1
Recent advancement of analytical approaches for assessing Ataxia telangiectasia mutated kinase inhibitors in Ataxia telangiectasia: An overview
Annasamy Rameshkumar, V. ArunPrasanna, V. Mahalakshmi, et al.
Process Biochemistry (2024) Vol. 144, pp. 142-159
Closed Access | Times Cited: 1
Application of privacy protection technology to healthcare big data
Hyunah Shin, Kyeongmin Ryu, Jong‐Yeup Kim, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Artificial Intelligence in the Diagnosis and Quantitative Phenotyping of Hyperkinetic Movement Disorders: A Systematic Review
Joaquín A. Vizcarra, Sri Kalyan Yarlagadda, Kevin Xie, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 23, pp. 7009-7009
Open Access | Times Cited: 1
An Effective CNN Based Indian Sign Language Recognition System Using Federated Learning
P. Jayanthi, Ponsy R. K. Sathia Bhama, M. Abitha, et al.
Proceedings in adaptation, learning and optimization (2024), pp. 138-149
Closed Access | Times Cited: 1
Privacy of Deep Learning Systems: A Penetration Testing Framework
Banafshe Javaheri Vayghan
(2024)
Open Access
A Survey of Integrating Federated Learning with Smart Grids: Application Prospect, Privacy Preserving and Challenges Analysis
Zhichao Tang, Yan Yan, Dong Wu, et al.
Communications in computer and information science (2023), pp. 296-305
Closed Access
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