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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:

PySyft: A Library for Easy Federated Learning
Alexander Ziller, Andrew Trask, Antonio Lopardo, et al.
Studies in computational intelligence (2021), pp. 111-139
Closed Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Privacy-preserving artificial intelligence in healthcare: Techniques and applications
Nazish Khalid, Adnan Qayyum, Muhammad Bilal, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106848-106848
Open Access | Times Cited: 225
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2983-3013
Closed Access | Times Cited: 150
An Ensemble Multi-View Federated Learning Intrusion Detection for IoT
Dinesh Chowdary Attota, Viraaji Mothukuri, Reza M. Parizi, et al.
IEEE Access (2021) Vol. 9, pp. 117734-117745
Open Access | Times Cited: 107
Blockchain-Based Federated Learning With SMPC Model Verification Against Poisoning Attack for Healthcare Systems
Aditya Pribadi Kalapaaking, Ibrahim Khalil, Xun Yi
IEEE Transactions on Emerging Topics in Computing (2023) Vol. 12, Iss. 1, pp. 269-280
Open Access | Times Cited: 43
Blockchain-Based Federated Learning With Secure Aggregation in Trusted Execution Environment for Internet-of-Things
Aditya Pribadi Kalapaaking, Ibrahim Khalil, Mohammad Saidur Rahman, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 1703-1714
Open Access | Times Cited: 67
Federated Learning for Edge Computing: A Survey
Alexander Brecko, Erik Kajáti, Jiří Koziorek, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9124-9124
Open Access | Times Cited: 63
Federated Graph Machine Learning
Xingbo Fu, Binchi Zhang, Yushun Dong, et al.
ACM SIGKDD Explorations Newsletter (2022) Vol. 24, Iss. 2, pp. 32-47
Closed Access | Times Cited: 46
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
Zhen Wang, Weirui Kuang, Yuexiang Xie, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4110-4120
Open Access | Times Cited: 42
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, et al.
Medical Image Analysis (2023) Vol. 92, pp. 103059-103059
Open Access | Times Cited: 33
An overview of implementing security and privacy in federated learning
Kai Hu, Sheng Gong, Qi Zhang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 14
A Comprehensive Review of Current Trends, Challenges, and Opportunities in Text Data Privacy
Sakib Shahriar, Rozita Dara, Rajen Akalu
Computers & Security (2025), pp. 104358-104358
Open Access | Times Cited: 1
Federated Deep Learning for Heterogeneous Edge Computing
Khandaker Mamun Ahmed, Ahmed Imteaj, Morteza Amini
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021)
Closed Access | Times Cited: 43
Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms
Rafik Hamza, Alzubair Hassan, Awad Ali, et al.
Entropy (2022) Vol. 24, Iss. 4, pp. 519-519
Open Access | Times Cited: 37
Federated Learning for IoT Intrusion Detection
Riccardo Lazzarini, Huaglory Tianfield, Vassilis Charissis
AI (2023) Vol. 4, Iss. 3, pp. 509-530
Open Access | Times Cited: 22
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu, Yansha Deng, Arumugam Nallanathan, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 1, pp. 571-618
Open Access | Times Cited: 22
A survey on federated learning: a perspective from multi-party computation
Fengxia Liu, Zhiming Zheng, Yexuan Shi, et al.
Frontiers of Computer Science (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 20
Collaborative training of medical artificial intelligence models with non-uniform labels
Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs
Shanshan Han, Baturalp Buyukates, Zijian Hu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5070-5081
Open Access | Times Cited: 7
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis
Netzahualcoyotl Hernandez-Cruz, Pramit Saha, Md. Mostafa Kamal Sarker, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 99-99
Open Access | Times Cited: 7
Federated learning–based global road damage detection
Poonam Kumari Saha, Deeksha Arya, Yoshihide Sekimoto
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 14, pp. 2223-2238
Open Access | Times Cited: 6
SMPC-Based Federated Learning for 6G-Enabled Internet of Medical Things
Aditya Pribadi Kalapaaking, Veronika Stephanie, Ibrahim Khalil, et al.
IEEE Network (2022) Vol. 36, Iss. 4, pp. 182-189
Open Access | Times Cited: 26
μDFL: A Secure Microchained Decentralized Federated Learning Fabric Atop IoT Networks
Ronghua Xu, Yu Chen
IEEE Transactions on Network and Service Management (2022) Vol. 19, Iss. 3, pp. 2677-2688
Open Access | Times Cited: 25
Exploring privacy measurement in federated learning
Gopi Krishna Jagarlamudi, Abbas Yazdinejad, Reza M. Parizi, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 8, pp. 10511-10551
Closed Access | Times Cited: 16
Recent methodological advances in federated learning for healthcare
Fan Zhang, Daniel Kreuter, Yi‐Chen Chen, et al.
Patterns (2024) Vol. 5, Iss. 6, pp. 101006-101006
Open Access | Times Cited: 5
Privacy Enhancing and Scalable Federated Learning to Accelerate AI Implementation in Cross-Silo and IoMT Environments
Siddartha Rachakonda, Shiva Moorthy, Anshul Jain, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 744-755
Closed Access | Times Cited: 20
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