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:

Advancing Federated Learning Through Novel Mechanism for Privacy Preservation in Healthcare Applications
Mohammed AbaOud, Muqrin A. Almuqrin, Mohammad Faisal Khan
IEEE Access (2023) Vol. 11, pp. 83562-83579
Open Access | Times Cited: 16

Showing 16 citing articles:

Blockchain-Based Privacy-Enhancing Federated Learning in Smart Healthcare: A Survey
Zounkaraneni Ngoupayou Limbepe, Keke Gai, Jing Yu
Blockchains (2025) Vol. 3, Iss. 1, pp. 1-1
Open Access | Times Cited: 1

Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
Mohammed Almehdhar, Abdullatif Albaseer, Muhammad Asif Khan, et al.
IEEE Open Journal of Vehicular Technology (2024) Vol. 5, pp. 869-906
Open Access | Times Cited: 10

Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain
Megha Kuliha, Sunita Verma
International Journal of Intelligent Networks (2024) Vol. 5, pp. 161-174
Open Access | Times Cited: 6

A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications
Ibomoiye Domor Mienye, Theo G. Swart
Information (2024) Vol. 15, Iss. 12, pp. 755-755
Open Access | Times Cited: 5

Computational intelligence for sustainable computing in health care informatics
Bhargavi Peyakunta, Vimala Chinta
Elsevier eBooks (2025), pp. 163-180
Closed Access

Enhancing Efficiency in Privacy-Preserving Federated Learning for Healthcare: Adaptive Gaussian Clipping With DFT Aggregator
Muhammad Ayat Hidayat, Yugo Nakamura, Yutaka Arakawa
IEEE Access (2024) Vol. 12, pp. 88445-88457
Open Access | Times Cited: 1

Tackling security and privacy challenges in the realm of big data analytics
Janet Ngesa
World Journal of Advanced Research and Reviews (2023) Vol. 21, Iss. 2, pp. 552-576
Open Access | Times Cited: 2

Anonymous and Efficient Authentication Scheme for Privacy-Preserving Federated Cross Learning
Zeshuai Li, Xiaoyan Liang
Lecture notes in computer science (2024), pp. 281-293
Closed Access

Harnessing Federated Learning for Secure Data Sharing in Healthcare Systems
Salih Mahmoud Attya, Doaa Ali Jumaa, Noora Nazar Kamal Hwezy, et al.
(2024), pp. 390-399
Closed Access

Enhancing Cybersecurity Through Federated Learning: A Critical Evaluation of Strategies and Implications
M. Ashok Kumar, Aliyu Mohammed, S Sumanth, et al.
(2024), pp. 281-297
Closed Access

Federated Learning: Introduction, Evolution, Working, Advantages, and Its Application in Various Domains
Manoj Kumar Pandey, Naresh Kumar Kar, Priyanka Gupta
(2024), pp. 109-126
Closed Access

Data Privacy in the Digital Era: Machine Learning Solutions for Confidentiality
Sukhvinder Singh Dari, Dharmesh Dhabliya, K. Govindaraju, et al.
E3S Web of Conferences (2024) Vol. 491, pp. 02024-02024
Open Access

Privacy-Preserving Federated Learning for Healthcare Data
S. Sangeetha
Advances in information security, privacy, and ethics book series (2023), pp. 178-196
Closed Access

Application Domains of Federated Learning in Healthcare 5.0
T. Ananth Kumar, A. Gokulalakshmi, P. Kanimozhi, et al.
Advances in healthcare information systems and administration book series (2023), pp. 321-338
Closed Access

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