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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 comparative study on neural networks for paroxysmal atrial fibrillation events detection from electrocardiography
Hao Wen, Jingsu Kang
Journal of Electrocardiology (2022) Vol. 75, pp. 19-27
Closed Access | Times Cited: 11

Showing 11 citing articles:

A Multi-Level Multiple Contrastive Learning Method for Single-Lead Electrocardiogram Atrial Fibrillation Detection
Yonggang Zou, Peng Wang, Lidong Du, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 44-44
Open Access
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture
Donghwan Yun, Hyun-Lim Yang, Soonil Kwon, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 1, pp. 79-88
Open Access | Times Cited: 9
MMA-RNN: A multi-level multi-task attention-based recurrent neural network for discrimination and localization of atrial fibrillation
Yifan Sun, Jingyan Shen, Yunfan Jiang, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105747-105747
Open Access | Times Cited: 7
An Attribute-Decoupled Model for Onset Identification of Atrial Fibrillation in Single-Lead Electrocardiograms
Q Li, Xingyao Wang, Hongxiang Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 2
SeqAFNet: A Beat-Wise Sequential Neural Network for Atrial Fibrillation Classification in Adhesive Patch-Type Electrocardiographs
Sangkyu Kim, Ji-Hyoun Lim, Jaeseong Jang
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5260-5269
Closed Access | Times Cited: 1
Association of Blood Glucose Data with Physiological and Nutritional Data from Dietary Surveys Investigated Using Publicly Available Wearable-type Databases (Preprint)
Takashi Miyakoshi, Yoichi M. Ito
(2024)
Open Access
Noise-Aware Atrial Fibrillation Detection for Resource-Constrained Wearable Devices
Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (2024), pp. 1-6
Closed Access
Association of Blood Glucose Data with Physiological and Nutritional Data from Dietary Surveys Investigated Using Publicly Available Wearable-type Databases (Preprint)
Takashi Miyakoshi, Yoichi M. Ito
JMIR Diabetes (2024) Vol. 9, pp. e62831-e62831
Open Access
A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm
Jun Lei, Yuxi Zhou, Tian Xue, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107028-107028
Open Access
Patient-Adaptive Beat-Wise Temporal Transformer for Atrial Fibrillation Classification in Continuous Long-Term Cardiac Monitoring
Sangkyu Kim, Ji-Hyoun Lim, Jaeseong Jang
IEEE Access (2024) Vol. 12, pp. 172358-172367
Open Access
Efficient ECG-Based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks
Leonie Basso, Zhao Ren, Wolfgang Nejdl
(2023), pp. 1375-1379
Open Access
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