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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:

Attention-based multi-scale features fusion for unobtrusive atrial fibrillation detection using ballistocardiogram signal
Fangfang Jiang, Chuhang Hong, Tianqing Cheng, et al.
BioMedical Engineering OnLine (2021) Vol. 20, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

Artificial intelligence for the detection, prediction, and management of atrial fibrillation
Jonas L. Isaksen, Mathias Baumert, Astrid N.L. Hermans, et al.
Herzschrittmachertherapie + Elektrophysiologie (2022) Vol. 33, Iss. 1, pp. 34-41
Open Access | Times Cited: 26
Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework
Liang Yu, Yong‐Han Hong, Hua Lin, et al.
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
Recent advances in the tools and techniques for AI-aided diagnosis of atrial fibrillation
Md Saiful Islam, M. R. Islam, Sanjid-E-Elahi, et al.
Biophysics Reviews (2025) Vol. 6, Iss. 1
Closed Access
Multi-scale attention convolutional neural network for noncontact atrial fibrillation detection using BCG
Qiushi Su, Youpei Zhao, Yanqi Huang, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106041-106041
Closed Access | Times Cited: 3
Non-invasive monitoring of cardiac function through Ballistocardiogram: an algorithm integrating short-time Fourier transform and ensemble empirical mode decomposition
Jingda Feng, Weifen Huang, Jiang Jin, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 8
Recent Research for Unobtrusive Atrial Fibrillation Detection Methods Based on Cardiac Dynamics Signals: A Survey
Fangfang Jiang, Yihan Zhou, Tianyi Ling, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3814-3814
Open Access | Times Cited: 15
The future of long‐term monitoring after catheter and surgical ablation for atrial fibrillation
Jayson R. Baman, Rod Passman
Journal of Cardiovascular Electrophysiology (2022) Vol. 33, Iss. 8, pp. 1911-1918
Closed Access | Times Cited: 6
Automatic Atrial Fibrillation Detection Using Modified Moth Flame Optimization Algorithm
Sreenivasulu Ummadisetty, Madhavi Tatineni
International journal of intelligent engineering and systems (2022) Vol. 16, Iss. 1, pp. 435-445
Open Access | Times Cited: 5
A CNN - ELM-Based Method for Ballistocardiogram Classification in a Clinical Environment
Sahar Tahir, Ibrahim Sadek, Bessam Abdulrazak
(2021), pp. 1-6
Closed Access | Times Cited: 6
Atrial Fibrillation Detection Based on a Residual CNN Using BCG Signals
Qiushi Su, Yanqi Huang, Xiaomei Wu, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2974-2974
Open Access | Times Cited: 4
Solving variability: Accurately extracting feature components from ballistocardiograms
T. Yang, Haihang Yuan, Junqi Yang, et al.
Digital Health (2024) Vol. 10
Open Access
Quantitative Analysis Using Consecutive Time Window for Unobtrusive Atrial Fibrillation Detection Based on Ballistocardiogram Signal
Tianqing Cheng, Fangfang Jiang, Qing Li, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5516-5516
Open Access | Times Cited: 1
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