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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 and differential privacy for medical image analysis
Mohammed Adnan, Shivam Kalra, Jesse C. Cresswell, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 188

Showing 1-25 of 188 citing articles:

Development of metaverse for intelligent healthcare
Ge Wang, Andreu Badal, Xun Jia, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 11, pp. 922-929
Open Access | Times Cited: 270
Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 181
Artificial intelligence for digital and computational pathology
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 12, pp. 930-949
Closed Access | Times Cited: 80
Review on security of federated learning and its application in healthcare
Hao Li, Chengcheng Li, Jian Wang, et al.
Future Generation Computer Systems (2023) Vol. 144, pp. 271-290
Closed Access | Times Cited: 68
Federated learning for medical image analysis: A survey
Hao Guan, Pew‐Thian Yap, Andrea Bozoki, et al.
Pattern Recognition (2024) Vol. 151, pp. 110424-110424
Open Access | Times Cited: 65
Decentralized federated learning through proxy model sharing
Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 55
Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction
Peter E.D. Love, Weili Fang, Jane Matthews, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102024-102024
Closed Access | Times Cited: 53
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: 45
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 7, pp. 2044-2056
Open Access | Times Cited: 44
Federated Learning for Healthcare: A Comprehensive Review
Pallavi Dhade, Prajakta Shirke
(2024), pp. 230-230
Open Access | Times Cited: 19
PPML-Omics: A privacy-preserving federated machine learning method protects patients’ privacy in omic data
Juexiao Zhou, Siyuan Chen, Yulian Wu, et al.
Science Advances (2024) Vol. 10, Iss. 5
Open Access | Times Cited: 16
Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics
Sarah Haggenmüller, Max Schmitt, Eva Krieghoff‐Henning, et al.
JAMA Dermatology (2024) Vol. 160, Iss. 3, pp. 303-303
Open Access | Times Cited: 15
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: 14
An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation
Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Mst. Sazia Tahosin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Federated Learning for Medical Image Analysis with Deep Neural Networks
Sajid Nazir, Mohammad Kaleem
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1532-1532
Open Access | Times Cited: 38
A comparison study of centralized and decentralized federated learning approaches utilizing the transformer architecture for estimating remaining useful life
Sayaka Kamei, Sharareh Taghipour
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109130-109130
Closed Access | Times Cited: 30
Fairness and privacy preserving in federated learning: A survey
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, et al.
Information Fusion (2023) Vol. 105, pp. 102198-102198
Open Access | Times Cited: 28
Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images
S. Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 7, pp. 1982-1995
Open Access | Times Cited: 26
Ensemble Federated Learning Approach for Diagnostics of Multi-Order Lung Cancer
Umamaheswaran Subashchandrabose, Rajan John, U. V. Anbazhagu, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3053-3053
Open Access | Times Cited: 24
Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review
Xue Yang, Kexin Huang, Dewei Yang, et al.
Global Challenges (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 24
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
Zexi Li, Xinyi Shang, Rui He, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 5296-5306
Open Access | Times Cited: 23
Blockchain for medical collaboration: A federated learning-based approach for multi-class respiratory disease classification
Abdulla All Noman, Mustafizur Rahaman, Tahmid Hasan Pranto, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100135-100135
Open Access | Times Cited: 21
Self-supervised spatial–temporal transformer fusion based federated framework for 4D cardiovascular image segmentation
Moona Mazher, Imran Razzak, Abdul Qayyum, et al.
Information Fusion (2024) Vol. 106, pp. 102256-102256
Open Access | Times Cited: 11
FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology
Bingjie Yan, Danmin Cao, Xinlong Jiang, et al.
Patterns (2024) Vol. 5, Iss. 2, pp. 100928-100928
Open Access | Times Cited: 9
Human digital twin: a survey
Yujia Lin, Chen Li-ming, Aftab Ali, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 9
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