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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 novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data
Tuc Nguyen, M. Abou Dakka, Sonya M. Diakiw, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

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
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: 86
A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems
Xin Gu, Fariza Sabrina, Zongwen Fan, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 15, pp. 6539-6539
Open Access | Times Cited: 48
Decentralized Federated Learning: A Survey and Perspective
Liangqi Yuan, Ziran Wang, Lichao Sun, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34617-34638
Open Access | Times Cited: 39
The prospect of artificial intelligence to personalize assisted reproductive technology
Simon Hanassab, Ali Abbara, Arthur C. Yeung, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 24
Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture
Zhen Ling Teo, Liyuan Jin, Nan Liu, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 2, pp. 101419-101419
Open Access | Times Cited: 19
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine
Kunal Naik, Rahul K. Goyal, Luca Foschini, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 115, Iss. 4, pp. 673-686
Closed Access | Times Cited: 21
NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions
Yi Rong, Quan Chen, Yabo Fu, et al.
International Journal of Radiation Oncology*Biology*Physics (2023) Vol. 119, Iss. 1, pp. 261-280
Closed Access | Times Cited: 18
Reviewing the impact of AI on renewable energy efficiency and management
Adetomi Adewumi, Chinelo Emilia Okoli, Favour Oluwadamilare Usman, et al.
International Journal of Science and Research Archive (2024) Vol. 11, Iss. 1, pp. 1518-1527
Open Access | Times Cited: 5
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
A survey of artificial intelligence in rheumatoid arthritis
Jiaqi Wang, Yu Tian, Tianshu Zhou, et al.
Rheumatology and Immunology Research (2023) Vol. 4, Iss. 2, pp. 69-77
Open Access | Times Cited: 12
Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models
Angie Li, Sarah Mullin, Peter L. Elkin
JMIR Medical Informatics (2024) Vol. 12, pp. e42271-e42271
Open Access | Times Cited: 4
Federated Learning-Enabled IoT Framework for Indoor Air Quality and HVAC Optimization in Healthcare Buildings
Montaser N.A. Ramadan, Mohammed A. H. Ali, Mohammad Alkhedher
Journal of Building Engineering (2025) Vol. 107, pp. 112758-112758
Closed Access
Analysis of Federated Learning Paradigm in Medical Domain: Taking COVID-19 as an Application Use Case
Seong Oun Hwang, Abdul Majeed
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4100-4100
Open Access | Times Cited: 3
Federated-learning-based prognosis assessment model for acute pulmonary thromboembolism
Jun Zhou, Xin Wang, Yiyao Li, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Artificial intelligence detection of cognitive impairment in older adults during walking
Shuichi Obuchi, Motonaga Kojima, Hiroyuki Suzuki, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2024) Vol. 16, Iss. 3
Open Access | Times Cited: 3
Concerns on Integrating Artificial Intelligence in Clinical Practice: A Survey of Chinese Oncologists' Perspectives (Preprint)
Ming Li, Xiaomin Xiong, Bo Xu, et al.
JMIR Formative Research (2024) Vol. 8, pp. e53918-e53918
Open Access | Times Cited: 2
Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment
Xiaowei Xu, Yun Yang, Xinru Tan, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 24, pp. 493-506
Open Access | Times Cited: 2
Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems
Mohammed Elnawawy, Mohammadreza Hallajiyan, Gargi Mitra, et al.
(2024), pp. 97-108
Open Access | Times Cited: 2
An efficient personalized federated learning approach in heterogeneous environments: a reinforcement learning perspective
Hongwei Yang, Juncheng Li, Meng Hao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Challenges and Solutions for Artificial Intelligence Adoption in Healthcare – A Literature Review
Uldis Doniņš, Daiga Behmane
Smart innovation, systems and technologies (2023), pp. 53-62
Closed Access | Times Cited: 5
Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation
Xiaoxiao He, Chaowei Tan, Bo Liu, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-5
Open Access | Times Cited: 5
Proceedings of the first world conference on AI in fertility
Carol Lynn Curchoe
Journal of Assisted Reproduction and Genetics (2023) Vol. 40, Iss. 2, pp. 215-222
Closed Access | Times Cited: 4
Efficient automated error detection in medical data using deep-learning and label-clustering
Tuc Nguyen, Sonya M. Diakiw, Matthew VerMilyea, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
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
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