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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:

Personalized Federated Learning with Adaptive Batchnorm for Healthcare
Lu Wang, Jindong Wang, Yiqiang Chen, et al.
IEEE Transactions on Big Data (2022) Vol. 10, Iss. 6, pp. 915-925
Open Access | Times Cited: 42

Showing 1-25 of 42 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: 75
Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions
Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21873-21891
Closed Access | Times Cited: 52
FedCure: A Heterogeneity-Aware Personalized Federated Learning Framework for Intelligent Healthcare Applications in IoMT Environments
Sachin D.N., B. Annappa, Saumya Hegde, et al.
IEEE Access (2024) Vol. 12, pp. 15867-15883
Open Access | Times Cited: 19
MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare
Yiqiang Chen, Lu Wang, Xin Qin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 16671-16682
Open Access | Times Cited: 36
AP2FL: Auditable Privacy-Preserving Federated Learning Framework for Electronics in Healthcare
Abbas Yazdinejad, Ali Dehghantanha, Gautam Srivastava
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2527-2535
Closed Access | Times Cited: 35
FEEL: FEderated LEarning Framework for ELderly Healthcare Using Edge-IoMT
Shreya Ghosh, Soumya K. Ghosh
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 4, pp. 1800-1809
Closed Access | Times Cited: 27
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation
Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, et al.
Patterns (2024) Vol. 5, Iss. 2, pp. 100913-100913
Open Access | Times Cited: 10
FedHealthFog: A federated learning-enabled approach towards healthcare analytics over fog computing platform
Subhranshu Sekhar Tripathy, Sujit Bebortta, Chiranji Lal Chowdhary, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26416-e26416
Open Access | Times Cited: 10
A federated learning system with data fusion for healthcare using multi-party computation and additive secret sharing
Tasiu Muazu, Yingchi Mao, Abdullahi Uwaisu Muhammad, et al.
Computer Communications (2024) Vol. 216, pp. 168-182
Closed Access | Times Cited: 8
Federated Learning for Healthcare Applications
Ahmad Chaddad, Yihang Wu, Christian Desrosiers
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 7339-7358
Closed Access | Times Cited: 20
A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging
Farhan Ullah, Gautam Srivastava, Heng Xiao, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 6, pp. 3293-3304
Closed Access | Times Cited: 18
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
Ftmoe: a federated transfer model based on mixture-of-experts for heterogeneous image classification
Wei Liu, Yingmeng Wang, Kaige Li, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare
Ming Li, Pengcheng Xu, Junjie Hu, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103497-103497
Open Access
Privacy-preserving and Byzantine-robust federated broad learning with chain-loop structure
Nan Li, Chang‐E Ren, Siyao Cheng
Neurocomputing (2025), pp. 129975-129975
Closed Access
Multi-Energy Load Forecasting in Integrated Energy Systems: A Spatial-Temporal Adaptive Personalized Federated Learning Approach
Huayi Wu, Zhao Xu
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 12262-12274
Closed Access | Times Cited: 3
Federated learning for intelligent fault diagnosis based on similarity collaboration
Yonghong Zhang, Xingan Xue, Xiaoping Zhao, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 4, pp. 045103-045103
Closed Access | Times Cited: 14
Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey
Guihua Tian, Kun Qian, Xinyi Li, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 2, pp. 700-713
Open Access | Times Cited: 8
Decentralized Learning in Healthcare: A Review of Emerging Techniques
Chamani Shiranthika, Parvaneh Saeedi, Ivan V. Bajić
IEEE Access (2023) Vol. 11, pp. 54188-54209
Open Access | Times Cited: 7
Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications
Saeed Hamood Alsamhi, Ammar Hawbani, Alexey V. Shvetsov, et al.
Advances in Human-Computer Interaction (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 7
A profile similarity-based personalized federated learning method for wearable sensor-based human activity recognition
Yidong Chai, Haoxin Liu, Hongyi Zhu, et al.
Information & Management (2024) Vol. 61, Iss. 7, pp. 103922-103922
Closed Access | Times Cited: 2
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation
Guanhua Ye, Tong Chen, Yawen Li, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5249-5259
Open Access | Times Cited: 6
Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis
Ahmed A. Al-Saedi, Veselka Boeva
Communications in computer and information science (2023), pp. 505-519
Closed Access | Times Cited: 5
FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration
Meilu Zhu, Jing Liao, Jun Liu, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 190-202
Closed 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
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