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 in Health care Using Structured Medical Data
Won-Suk Oh, Girish N. Nadkarni
Advances in Kidney Disease and Health (2023) Vol. 30, Iss. 1, pp. 4-16
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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: 27

Enhancing medical image classification via federated learning and pre-trained model
Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100530-100530
Open Access | Times Cited: 6

Federated Learning Frameworks in Smart e-Healthcare: A Systematic Literature Review with Bias Evaluation
Soumyaranjan Panda, Rajni Dubey, Biswajit Jena, et al.
Applied Soft Computing (2025), pp. 112747-112747
Closed Access

Information Modeling Technique to Decipher Research Trends of Federated Learning in Healthcare
Rishu, Vinay Kukreja, Shanmugasundaram Hariharan, et al.
The Open Neuroimaging Journal (2025) Vol. 18, Iss. 1
Open Access

Federated learning: Applications, Security hazards and Defense measures
Sonam Tyagi, Ishwari Singh Rajput, Richa Pandey
(2023), pp. 477-482
Closed Access | Times Cited: 15

Managing Distributed Machine Learning Lifecycle for Healthcare Data in the Cloud
Engin Zeydan, Şuayb Ş. Arslan, Madhusanka Liyanage
IEEE Access (2024) Vol. 12, pp. 115750-115774
Open Access | Times Cited: 4

The PROAGE Tool and Its Association With Post Discharge Outcomes in Older Adults Admitted From the Emergency Department
Inessa Cohen, Pedro Kallas Curiati, Christian Valle Morinaga, et al.
Journal of the American Geriatrics Society (2025)
Closed Access

Guidance for Fecal Microbiota Transplantation Trials in Ulcerative Colitis: The Second ROME Consensus Conference
Loris Riccardo Lopetuso, S Deleu, Pierluigi Puca, et al.
Inflammatory Bowel Diseases (2025)
Closed Access

Private and heterogeneous personalized hierarchical federated learning using Conditional Generative Adversarial networks
Afsaneh Afzali, Pirooz Shamsinejadbabaki
Expert Systems with Applications (2025), pp. 127003-127003
Closed Access

Dynamic memory-enhanced federated learning framework with trusted computing for multi-source data analysis
Bian Zhu, Niu Ling
Journal of Intelligent Information Systems (2025)
Closed Access

Towards generalizable Federated Learning in Medical Imaging: A real-world case study on mammography data
Ioannis N. Tzortzis, Alberto Gutierrez-Torre, Stavros Sykiotis, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access

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: 5

Assessing the Value of Provider-Facing Digital Health Technologies Used in Chronic Disease Management: Toward a Value Framework Based on Multistakeholder Perceptions
Caitlin Main, Madeleine Haig, Danitza Chávez, et al.
Medical Decision Making (2023) Vol. 44, Iss. 1, pp. 28-41
Open Access | Times Cited: 5

Ensemble machine learning framework for predicting maternal health risk during pregnancy
Alaa O. Khadidos, Farrukh Saleem, Shitharth Selvarajan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
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-preserving collaborative AI for distributed deep learning with cross-sectional data
Saeed Iqbal, Adnan N. Qureshi, Musaed Alhussein, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 33, pp. 80051-80073
Closed Access | Times Cited: 3

Federated machine learning for predicting acute kidney injury in critically ill patients: a multicenter study in Taiwan
Chun-Te Huang, Tsai‐Jung Wang, Li‐Kuo Kuo, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 2

Multicenter Knowledge Transfer Calibration with Rapid 0th-Order TSK Fuzzy System for Small Sample Epileptic EEG Signals
Chuang Wang, Pengjiang Qian, Zhihuang Wang, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 11, pp. 6224-6236
Closed Access

Current state of data stewardship tools in life science
Anna Aksenova, Anoop Johny, Tim Adams, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access

Federated Learning under Sample Selection Heterogeneity
Huy Mai, Xintao Wu
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1393-1400
Closed Access

Privacy-Preserving Collaborative AI for Distributed Deep Learning with Cross-sectional Data
Saeed Iqbal, Adnan N. Qureshi, Khursheed Aurangzeb, et al.
(2023)
Closed Access | Times Cited: 1

Membership Inference Attacks Against Medical Databases
Tianxiang Xu, Chang Liu, Kun Zhang, et al.
Communications in computer and information science (2023), pp. 15-25
Closed Access | Times Cited: 1

Prediction of Hospital Readmission using Federated Learning
Borjan Sazdov, Matea Tashkovska, Stefan Krsteski, et al.
(2023), pp. 1-5
Closed Access

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