Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Privacy-Preserving Federated Learning Using Homomorphic Encryption
Jaehyoung Park, Hyuk Lim
Applied Sciences (2022) Vol. 12, Iss. 2, pp. 734-734
Open Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

A survey on federated learning: challenges and applications
Jie Wen, Zhixia Zhang, Y. Lan, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 2, pp. 513-535
Open Access | Times Cited: 217
Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health
Zhencheng Fan, Zheng Yan, Shiping Wen
Sustainability (2023) Vol. 15, Iss. 18, pp. 13493-13493
Open Access | Times Cited: 107
Federated Learning for Privacy-Preserving: A Review of PII Data Analysis in Fintech
Bibhu Dash, Pawankumar Sharma, Azad Ali
International Journal of Software Engineering & Applications (2022) Vol. 13, Iss. 4, pp. 1-13
Open Access | Times Cited: 91
Hybrid Privacy Preserving Federated Learning Against Irregular Users in Next-Generation Internet of Things
Abbas Yazdinejad, Ali Dehghantanha, Gautam Srivastava, et al.
Journal of Systems Architecture (2024) Vol. 148, pp. 103088-103088
Closed Access | Times Cited: 40
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: 2
ATD Learning: A secure, smart, and decentralised learning method for big data environments
Laith Alzubaidi, Sabah Abdulazeez Jebur, Tanya Abdulsattar Jaber, et al.
Information Fusion (2025), pp. 102953-102953
Open Access | Times Cited: 2
Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications
Ηλίας Δρίτσας, Μαρία Τρίγκα
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 1, pp. 9-9
Open Access | Times Cited: 2
Multimodal Federated Learning: A Survey
Liwei Che, Jiaqi Wang, Yao Zhou, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6986-6986
Open Access | Times Cited: 37
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff
Huiqiang Chen, Tianqing Zhu, Tao Zhang, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-37
Open Access | Times Cited: 32
Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions
Jean-Paul A. Yaacoub, Hassan Noura, Ola Salman
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 155-179
Open Access | Times Cited: 28
Ubiquitous intelligent federated learning privacy-preserving scheme under edge computing
Dongfen Li, Jinshan Lai, Ruijin Wang, et al.
Future Generation Computer Systems (2023) Vol. 144, pp. 205-218
Closed Access | Times Cited: 24
Efficient Verifiable Protocol for Privacy-Preserving Aggregation in Federated Learning
Tamer Eltaras, Farida Sabry, Wadha Labda, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 2977-2990
Open Access | Times Cited: 22
Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics
Samaneh Mohammadi, Ali Balador, Sima Sinaei, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 192, pp. 104918-104918
Open Access | Times Cited: 14
Federated Learning Approach for Secured Medical Recommendation in Internet of Medical Things Using Homomorphic Encryption
Eric Appiah Mantey, Conghua Zhou, Joseph Henry Anajemba, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3329-3340
Closed Access | Times Cited: 10
A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
Habib Ullah Manzoor, Attia Shabbir, Ao Chen, et al.
Future Internet (2024) Vol. 16, Iss. 10, pp. 374-374
Open Access | Times Cited: 10
A privacy-preserving federated learning scheme with homomorphic encryption and edge computing
Bian Zhu, Niu Ling
Alexandria Engineering Journal (2025) Vol. 118, pp. 11-20
Closed Access | Times Cited: 1
Privacy in Federated Learning
Jaydip Sen, Hetvi Waghela, Sneha Rakshit
IntechOpen eBooks (2025)
Open Access | Times Cited: 1
FLIBD: A Federated Learning-Based IoT Big Data Management Approach for Privacy-Preserving over Apache Spark with FATE
Aristeidis Karras, Αναστάσιος Γιάνναρος, Leonidas Theodorakopoulos, et al.
Electronics (2023) Vol. 12, Iss. 22, pp. 4633-4633
Open Access | Times Cited: 19
A review of federated learning: taxonomy, privacy and future directions
Hashan Ratnayake, Lin Chen, Xiaofeng Ding
Journal of Intelligent Information Systems (2023) Vol. 61, Iss. 3, pp. 923-949
Closed Access | Times Cited: 16
Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Future Internet (2024) Vol. 16, Iss. 9, pp. 324-324
Open Access | Times Cited: 7
Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook
Abdul Majeed, Safiullah Khan, Seong Oun Hwang
IEEE Access (2022) Vol. 10, pp. 53066-53097
Open Access | Times Cited: 25
Secure Federated Learning: An Evaluation of Homomorphic Encrypted Network Traffic Prediction
Sogo Pierre Sanon, Rekha Reddy, Christoph Lipps, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 14
Quality medical data management within an open AI architecture – cancer patients case
Mirjana Ivanović, Serge Autexier, Miltiadis Kokkonidis, et al.
Connection Science (2023) Vol. 35, Iss. 1
Open Access | Times Cited: 13
BAFL-SVM: A blockchain-assisted federated learning-driven SVM framework for smart agriculture
Ruiyao Shen, Hongliang Zhang, Baobao Chai, et al.
High-Confidence Computing (2024), pp. 100243-100243
Open Access | Times Cited: 5
VSEPDA: Verifiable secure and efficient privacy-preserving data aggregation protocol for image classification in federated learning
Shuo Chen, Tanping Zhou, Huiyu Xie, et al.
Journal of Information Security and Applications (2025) Vol. 90, pp. 104039-104039
Closed Access
Page 1 - Next Page

Scroll to top