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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:

Automatic Detection of Atrial Fibrillation and Other Arrhythmias in ECG Recordings Acquired by a Smartphone Device
Lucia Billeci, Magda Costi, David Lombardi, et al.
Electronics (2018) Vol. 7, Iss. 9, pp. 199-199
Open Access | Times Cited: 19

Showing 19 citing articles:

Dual-Channel Neural Network for Atrial Fibrillation Detection From a Single Lead ECG Wave
Bo Fang, Junxin Chen, Yu Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 27, Iss. 5, pp. 2296-2305
Closed Access | Times Cited: 35
Extracting deep features from short ECG signals for early atrial fibrillation detection
Xiaodan Wu, Yumeng Zheng, Chao‐Hsien Chu, et al.
Artificial Intelligence in Medicine (2020) Vol. 109, pp. 101896-101896
Closed Access | Times Cited: 38
A New Methodology Based on EMD and Nonlinear Measurements for Sudden Cardiac Death Detection
Olivia Vargas-Lopez, Juan P. Amézquita-Sánchez, J. Jesus De-Santiago-Perez, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 9-9
Open Access | Times Cited: 32
Lightweight Multireceptive Field CNN for 12-Lead ECG Signal Classification
Degaga Wolde Feyisa, Taye Girma Debelee, Yehualashet Megersa Ayano, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 16
Arrhythmia Classification using 2D Convolutional Neural Network
Robby Rohmantri, Nico Surantha
International Journal of Advanced Computer Science and Applications (2020) Vol. 11, Iss. 4
Open Access | Times Cited: 18
System for Neural Network Determination of Atrial Fibrillation on ECG Signals with Wavelet-Based Preprocessing
Pavel Lyakhov, Mariya Kiladze, Ulyana A. Lyakhova
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7213-7213
Open Access | Times Cited: 16
Automatic screening method for atrial fibrillation based on lossy compression of the electrocardiogram signal
Hongpo Zhang, Zhongren Dong, Junli Gao, et al.
Physiological Measurement (2020) Vol. 41, Iss. 7, pp. 075005-075005
Closed Access | Times Cited: 15
Machine Learning Based Decision Support System for Atrial Fibrillation Detection using Electrocardiogram
Shrikanth Rao S.K, Roshan Joy Martis
(2020), pp. 263-266
Closed Access | Times Cited: 8
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
Dacheng Chen, Dan Li, Xiuqin Xu, et al.
arXiv (Cornell University) (2021)
Open 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
A Prototype Framework Design for Assisting the Detection of Atrial Fibrillation Using a Generic Low-Cost Biomedical Sensor
Jesús Pérez-Valero, Antonio-Javier García-Sánchez, Manuel Ruiz Marín, et al.
Sensors (2020) Vol. 20, Iss. 3, pp. 896-896
Open Access | Times Cited: 5
Classification of Arrhythmia Signals Using Hybrid Convolutional Neural Network (CNN) Model
Evelyn Siao Yung Ern, Dzati Athiar Ramli
Intelligent systems reference library (2022), pp. 105-132
Closed Access | Times Cited: 2
Efficient ECG Analysis with High F1 Score and Low Computation Complexity
Andrii Yavorskyi, Bohdan Tyshchenko, T. V. Panchenko
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (2021), pp. 348-352
Closed Access | Times Cited: 2
Data Processing and Wearable Systems for Effective Human Monitoring
Alberto Greco, Antonio Lanatà, Nicola Vanello
Electronics (2019) Vol. 8, Iss. 9, pp. 1003-1003
Open Access | Times Cited: 1
Subjects with different hypnotizability scores exhibit different heartbeat-evoked potentials during sleep
Lucia Billeci, Ugo Faraguna, Laura Sebastiani, et al.
2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) (2020), pp. 1-2
Closed Access | Times Cited: 1
Advanced Information Processing Methods and Their Applications
Pavel Lyakhov
MDPI eBooks (2022)
Open Access | Times Cited: 1
Atrial Fibrillation Detection by Multi-Lead ECG Processing at the Edge
Andrea Petroni, Francesca Cuomo, Gaetano Scarano, et al.
2022 IEEE Globecom Workshops (GC Wkshps) (2021), pp. 1-6
Closed Access | Times Cited: 1
Correction: Billeci, L.; et al. Automatic Detection of Atrial Fibrillation and Other Arrhythmias in ECG Recordings Acquired by a Smartphone Device. Electronics 2018, 7, 199
Lucia Billeci, Magda Costi, David Lombardi, et al.
Electronics (2018) Vol. 7, Iss. 10, pp. 248-248
Open Access
Automatic Detection of Characteristic Waves in Electrocardiogram
Lucia Billeci, Lorenzo Bachi, M. Varanini
Computing in cardiology (2020)
Open Access
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