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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 Learning for Electronic Health Records
Trung Kien Dang, Xiang Lan, Jianshu Weng, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 5, pp. 1-17
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 7374-7398
Open Access | Times Cited: 79
External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis
Patrick Rockenschaub, Ela M. Akay, Benjamin Gregory Carlisle, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures
Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, et al.
Mathematics (2023) Vol. 11, Iss. 19, pp. 4189-4189
Open Access | Times Cited: 37
Federated Learning: Overview, Strategies, Applications, Tools and Future Directions
Betul Yurdem, Murat Kuzlu, M. Kemal Güllü, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38137-e38137
Open Access | Times Cited: 9
Personalized Federated Graph Learning on Non-IID Electronic Health Records
Tao Tang, Zhuoyang Han, Zhen Cai, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11843-11856
Closed Access | Times Cited: 8
NLP for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review
Muhammad Bilal, Ameer Hamza, Nadia Malik
Journal of Pain and Symptom Management (2025)
Closed Access
Big Data Analytics in Bioinformatics and Healthcare
Zaharaddeen Karami Lawal, Rufai Yusuf Zakari, Navod Neranjan Thilakarathne, et al.
Studies in big data (2025), pp. 71-95
Closed Access
Leveraging Machine Unlearning for Better Medical Care and Data Protection in Healthcare 6.0
Santosh Moses, Konrad Obermann, Kanishak Gautam, et al.
IGI Global eBooks (2025), pp. 303-328
Closed Access
A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications
Deepak Upreti, Eunmok Yang, Hyunil Kim, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 3, pp. 2239-2274
Open Access | Times Cited: 4
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
Wenyuan Yang, Shuo Shao, Yue Yang, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 1, pp. 1-25
Open Access | Times Cited: 10
EHR Security and Privacy Aspects: A Systematic Review
Sourav Banerjee, Sudip Barik, Debashis Das, et al.
IFIP advances in information and communication technology (2023), pp. 243-260
Closed Access | Times Cited: 9
A comprehensive secure system enabling healthcare 5.0 using federated learning, intrusion detection and blockchain
Jameel Almalki, Saeed M. Alshahrani, Nayyar Ahmed Khan
PeerJ Computer Science (2024) Vol. 10, pp. e1778-e1778
Open Access | Times Cited: 3
FedFSA: Hybrid and federated framework for functional status ascertainment across institutions
Sunyang Fu, Heling Jia, Maria Vassilaki, et al.
Journal of Biomedical Informatics (2024) Vol. 152, pp. 104623-104623
Closed Access | Times Cited: 3
HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation
Chance DeSmet, Diane J. Cook
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-21
Open Access | Times Cited: 3
Federated learning of medical concepts embedding using BEHRT
Ofir Ben Shoham, Nadav Rappoport
JAMIA Open (2024) Vol. 7, Iss. 4
Open Access | Times Cited: 3
Federated Machine Learning In 5G Smart Healthcare: A Security Perspective Review
Hira Akhtar Butt, Abdul Ahad, Muhammad Wasim, et al.
Procedia Computer Science (2023) Vol. 224, pp. 580-586
Open Access | Times Cited: 8
Depression clinical detection model based on social media: a federated deep learning approach
Yang Liu
The Journal of Supercomputing (2023) Vol. 80, Iss. 6, pp. 7931-7954
Open Access | Times Cited: 7
Survey of Medical Applications of Federated Learning
Geunho Choi, Won Chul, Se Uk Lee, et al.
Healthcare Informatics Research (2024) Vol. 30, Iss. 1, pp. 3-15
Open Access | Times Cited: 2
Federated learning for rare disease detection: a survey
Jiaqi Wang, Fenglong Ma
Rare Disease and Orphan Drugs Journal (2023) Vol. 2, Iss. 4
Open Access | Times Cited: 6
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
Privacy-Preserving Construction of Ellipsoidal Granular Descriptors Based on Horizontal Federated Gustafson–Kessel Algorithm
Zhenzhong Liu
International Journal of Fuzzy Systems (2024) Vol. 26, Iss. 6, pp. 2097-2108
Closed Access | Times Cited: 1
Synthetic Generation of Multidimensional Data to Improve Classification Model Validity
Ahmad Al–Qerem, Ali Mohd Ali, Hani Attar, et al.
Journal of Data and Information Quality (2023) Vol. 15, Iss. 3, pp. 1-20
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
Development of Interoperable Computable Phenotype Algorithms for Adverse Events of Special Interest to Be Used for Biologics Safety Surveillance: Validation Study (Preprint)
Ashley A Holdefer, Jeno Pizarro, Patrick Saunders‐Hastings, et al.
JMIR Public Health and Surveillance (2024) Vol. 10, pp. e49811-e49811
Open 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
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