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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 survey on federated learning for security and privacy in healthcare applications
Kristtopher K. Coelho, Michele Nogueira, Alex Borges Vieira, et al.
Computer Communications (2023) Vol. 207, pp. 113-127
Closed Access | Times Cited: 23

Showing 23 citing articles:

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends
M. Victoria Luzón, Nuria Rodríguez-Barroso, Alberto Argente-Garrido, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 4, pp. 824-850
Closed Access | Times Cited: 19
Secure Multi-Party Computation for Machine Learning: A Survey
Ian Zhou, Farzad Tofigh, Massimo Piccardi, et al.
IEEE Access (2024) Vol. 12, pp. 53881-53899
Open Access | Times Cited: 10
Federated and transfer learning for cancer detection based on image analysis
Amine Bechar, Rafik Medjoudj, Youssef Elmir, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 1
Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection
Naila Latif, Wenping Ma, Hafiz Bilal Ahmad
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access
Cybersecurity maturity model: Systematic literature review and a proposed model
Gülçin Büyüközkan, Merve Güler
Technological Forecasting and Social Change (2025) Vol. 213, pp. 123996-123996
Closed Access
Fuzzy ensemble-based federated learning for EEG-based emotion recognition in Internet of Medical Things
Weiwei Jiang, Yang Zhang, Haoyu Han, et al.
Journal of Industrial Information Integration (2025), pp. 100789-100789
Closed Access
Toward the development of learning methods with distributed processing using securely divided data
Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110160-110160
Open Access
Exploring Adoption of Privacy-Enhancing Technologies among LGBTQ+ LIS Students in the United States: Motivations and Challenges
Ece Gumusel
Journal of Education for Library and Information Science (2025)
Closed Access
Privacy-preserving Framework for Automated Detection of Arrhythmia in ECG Data
Kacper Gil, Andres Véjar
Journal of Telecommunications and Information Technology (2025)
Open Access
Decentralized coordination for resilient federated learning: A blockchain-based approach with smart contracts and decentralized storage
Stefano Ferretti, Lorenzo Cassano, Gabriele Cialone, et al.
Computer Communications (2025), pp. 108112-108112
Open Access
Blockchain for security and privacy in the smart sensor network
Murat Koca
Elsevier eBooks (2025), pp. 95-107
Closed Access
A Security-Oriented Overview of Federated Learning Utilizing Layered Reference Model
Jiaxing Lu, N. Fukumoto, Akihiro Nakao
IEEE Access (2024) Vol. 12, pp. 103949-103975
Open Access | Times Cited: 3
Decentralization of Learning and Trust in the Healthcare: Blockchain-driven Federated Learning for Alzheimer’s MRI Image Classification
Filippo Imboccioli, Gabriele Cialone, Stefano Ferretti
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (2024), pp. 739-744
Closed Access | Times Cited: 1
Federated learning challenges and risks in modern digital healthcare systems
Kassim Kalinaki, Owais Ahmed Malik, Umar Yahya, et al.
Elsevier eBooks (2024), pp. 283-300
Closed Access | Times Cited: 1
Federated learning for biometric recognition: a survey
Jian Guo, Hengyu Mu, Xingli Liu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 1
Federated learning for solar energy applications: A case study on real-time fault detection
Ibtihal Ait Abdelmoula, Hicham Oufettoul, Nassim Lamrini, et al.
Solar Energy (2024) Vol. 282, pp. 112942-112942
Closed Access | Times Cited: 1
Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain
Waqar Ali, Xiangmin Zhou, Jie Shao
ACM Computing Surveys (2024)
Closed Access | Times Cited: 1
Federated learning on low-power Arduino Nano33 BLE Sense to predict the length of stay using a linear regression model
Sai Sriram, Hariharathmajan RK, Barathi Babu M, et al.
Procedia Computer Science (2024) Vol. 235, pp. 671-682
Open Access
A Review on Privacy Enhanced Distributed ML Against Poisoning Attacks
A T Archa, K. Kartheeban
Lecture notes in networks and systems (2024), pp. 173-186
Closed Access
Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems
Lorenzo Cassano, Jacopo D’Abramo, Siraj Munir, et al.
(2024) Vol. abs/2107.10243, pp. 663-668
Closed Access
A dynamic receptive field and improved feature fusion approach for federated learning in financial credit risk assessment
Ruiheng Li, Yue Cao, Y. Shu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
The role of mobile edge computing in advancing federated learning algorithms and techniques: A systematic review of applications, challenges, and future directions
Amir Masoud Rahmani, Shtwai Alsubai, Abed Alanazi, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109812-109812
Closed Access
Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives
Yan Hu, Ahmad Chaddad
(2023), pp. 147-154
Closed Access
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