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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:

FedECG: A federated semi-supervised learning framework for electrocardiogram abnormalities prediction
Zuobin Ying, Guoyang Zhang, Zijie Pan, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 6, pp. 101568-101568
Open Access | Times Cited: 12

Showing 12 citing articles:

Electrocardiogram Signals Classification Using Deep-Learning-Based Incorporated Convolutional Neural Network and Long Short-Term Memory Framework
Alaa Eleyan, Ebrahim Alboghbaish
Computers (2024) Vol. 13, Iss. 2, pp. 55-55
Open Access | Times Cited: 10
A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases
Alejandra Cuevas-Chávez, Yasmín Hernández, Javier Ortiz-Hernández, et al.
Healthcare (2023) Vol. 11, Iss. 16, pp. 2240-2240
Open Access | Times Cited: 17
AI-Driven Real-Time Classification of ECG Signals for Cardiac Monitoring Using i-AlexNet Architecture
Manjur Kolhar, Raisa Nazir Ahmed Kazi, Hitesh Mohapatra, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1344-1344
Open Access | Times Cited: 5
Secure Decentralized ECG Prediction: Balancing Privacy, Performance, and Heterogeneity
Bagesh Kumar, Sohan Kumar, Yash Vikram Singh Rathore, et al.
(2025), pp. 607-621
Closed Access
Advances in Federated Learning: Applications and Challenges in Smart Building Environments and Beyond
Mohamed Rafik Aymene Berkani, Ammar Chouchane, Yassine Himeur, et al.
Computers (2025) Vol. 14, Iss. 4, pp. 124-124
Open Access
Federated learning with hyper-parameter optimization
Majid Kundroo, Taehong Kim
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101740-101740
Open Access | Times Cited: 9
An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection
Jiguang Shi, Zhoutong Li, Wenhan Liu, et al.
Information Sciences (2024) Vol. 677, pp. 120881-120881
Closed Access | Times Cited: 2
CPSS: Fusing consistency regularization and pseudo-labeling techniques for semi-supervised deep cardiovascular disease detection using all unlabeled electrocardiograms
Jiguang Shi, Wenhan Liu, Huaicheng Zhang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108315-108315
Closed Access | Times Cited: 1
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data
Vikhyat Agrawal, Sunil V. Kalmady, Venkataseetharam Malipeddi Manoj, et al.
(2024) Vol. 12, pp. 143-152
Closed Access | Times Cited: 1
Deep Learning Technologies for Time Series Anomaly Detection in Healthcare: A Review
Xue Yang, Xuejun Qi, Xiaobo Zhou
IEEE Access (2023) Vol. 11, pp. 117788-117799
Open Access | Times Cited: 3
The Applications of Federated Learning Algorithm in the Federated Cloud Environment: A Systematic Review
Ademolu Ajao, O Jonathan, Emmanuel Adetiba
(2024), pp. 1-15
Closed Access
Unsupervised selective labeling for semi-supervised industrial defect detection
Jian Ge, Qin Qin, Shaojing Song, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 8, pp. 102179-102179
Open Access
A Federated Approach Towards Detecting ECG Arrhythmia
Deepak Mane, Jinay Jain, Uday Jaju, et al.
(2024), pp. 106-111
Closed Access
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