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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:

An Effective Atrial Fibrillation Detection from Short Single-Lead Electrocardiogram Recordings Using MCNN-BLSTM Network
Hongpo Zhang, Hongzhuang Gu, Junli Gao, et al.
Algorithms (2022) Vol. 15, Iss. 12, pp. 454-454
Open Access | Times Cited: 15

Showing 15 citing articles:

Deep learning and electrocardiography: systematic review of current techniques in cardiovascular disease diagnosis and management
Z. Wu, Caixia Guo
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open Access | Times Cited: 1
An atrial fibrillation detection algorithm based on lightweight design architecture and feature fusion strategy
Yongjian Li, Meng Chen, Xinge Jiang, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106016-106016
Closed Access | Times Cited: 5
Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet
Jianxin Xie, Stavros Stavrakis, Bing Yao
Frontiers in Physiology (2024) Vol. 15
Open Access | Times Cited: 4
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
SEResUTer: a deep learning approach for accurate ECG signal delineation and atrial fibrillation detection
Xinyue Li, Wenjie Cai, Bolin Xu, et al.
Physiological Measurement (2023) Vol. 44, Iss. 12, pp. 125005-125005
Closed Access | Times Cited: 9
An atrial fibrillation classification method based on an outlier data filtering strategy and modified residual block of the feature pyramid network
Hongpo Zhang, Hongzhuang Gu, Guanhe Chen, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106107-106107
Closed Access | Times Cited: 2
Diagnosis of atrial fibrillation using self-complementary attentional convolutional neural network
Yongjian Li, Liting Zhang, Lin Zhu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 238, pp. 107565-107565
Closed Access | Times Cited: 6
ECG Classification Based on Guided Attention Mechanism
Yangcheng Huang, Wenjing Liu, Ziyi Yin, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108454-108454
Closed Access | Times Cited: 1
Class activation map-based slicing-concatenation and contrastive learning: A novel strategy for record-level atrial fibrillation detection
Qiang Zhu, Lingwei Zhang, Fei Lü, et al.
Expert Systems with Applications (2024), pp. 125619-125619
Closed Access | Times Cited: 1
MSCMN : Multi-scale convolutional modulation network for atrial fibrillation detection from a single-lead electrocardiogram
Rongjian Qiu, Jun Lu, Yuxuan Feng, et al.
Research Square (Research Square) (2024)
Open Access
Enhancing ECG signal classification through pre-trained stacked-CNN embeddings: a transfer learning approach
Khadidja Benchaira, Salim Bitam
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045010-045010
Closed Access
A lightweight deep learning approach for detecting electrocardiographic lead misplacement
Yangcheng Huang, Mingjie Wang, Yi‐Gang Li, et al.
Physiological Measurement (2024) Vol. 45, Iss. 5, pp. 055006-055006
Closed Access
Higher Order Time-Frequency Domain Tensor-Based Method for the Detection of Atrial Abnormalities Using 12-Lead ECG Signals
Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal
IEEE Sensors Letters (2023) Vol. 7, Iss. 8, pp. 1-4
Closed Access | Times Cited: 1
Atrial Fibrillation Detection from Ambulatory ECG with Accelerometry Contextualisation: A Semi-Supervised Learning Approach
Alex Efstathios Voinas, Devender Kumar, Jan David Smeddinck, et al.
(2023)
Open Access | Times Cited: 1
Atrial Fibrillation Detection from Ambulatory ECG with Accelerometry Contextualisation: A Semi-Supervised Learning Approach
Alex Efstathios Voinas, Devender Kumar, Jan David Smeddinck, et al.
(2023)
Open Access | Times Cited: 1
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