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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:

Considerations on Performance Evaluation of Atrial Fibrillation Detectors
Monika Butkuvienė, Andrius Petrėnas, Andrius Sološenko, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 11, pp. 3250-3260
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

AFibri-Net: A Lightweight Convolution Neural Network Based Atrial Fibrillation Detector
Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori
IEEE Transactions on Circuits and Systems I Regular Papers (2023) Vol. 70, Iss. 12, pp. 4962-4974
Closed Access | Times Cited: 24
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG
Noam Ben-Moshe, Kenta Tsutsui, Shany Biton Brimer, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5180-5188
Open Access | Times Cited: 6
Detection of Paroxysmal Atrial Fibrillation from Dynamic ECG Recordings Based on a Deep Learning Model
Yating Hu, Tengfei Feng, Miao Wang, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 5, pp. 820-820
Open Access | Times Cited: 13
Detection of Brief Episodes of Atrial Fibrillation Based on Electrocardiomatrix and Convolutional Neural Network
Ricardo Salinas-Martínez, Johannes de Bie, Nicoletta Marzocchi, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 23
Photoplethysmography based atrial fibrillation detection: a continually growing field
Cheng Ding, Ran Xiao, Weijia Wang, et al.
Physiological Measurement (2024) Vol. 45, Iss. 4, pp. 04TR01-04TR01
Open Access | Times Cited: 3
Directional statistics-inspired end-to-end atrial fibrillation detection model based on ECG rhythm
Chengsi Luo, Kaixuan Zhang, Yeting Hu, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123112-123112
Open Access | Times Cited: 2
Multi-channel delineation of intracardiac electrograms for arrhythmia substrate analysis using implicitly regularized convolutional neural network with wide receptive field
Jakub Hejč, Richard Ředina, Jana Kolářová, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106274-106274
Open Access | Times Cited: 2
Non-Contact Atrial Fibrillation Detection From Face Videos by Learning Systolic Peaks
Zhaodong Sun, Juhani Junttila, Mikko P. Tulppo, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 9, pp. 4587-4598
Open Access | Times Cited: 12
Atrial Fibrillation Burden Estimation Using Multi-Task Deep Convolutional Neural Network
Eedara Prabhakararao, Samarendra Dandapat
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 5992-6002
Closed Access | Times Cited: 12
ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions
Lorenzo Bachi, Hesam Halvaei, Cristina Pérez, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 12, pp. 3449-3460
Closed Access | Times Cited: 6
A generalizable and robust deep learning method for atrial fibrillation detection from long-term electrocardiogram
Yonggang Zou, Xianya Yu, Siying Li, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105797-105797
Closed Access | Times Cited: 6
Differential Beat Accuracy for ECG Family Classification Using Machine Learning
Alba Vadillo-Valderrama, Rebeca Goya–Esteban, Raúl Caulier‐Cisterna, et al.
IEEE Access (2022) Vol. 10, pp. 129362-129381
Open Access | Times Cited: 10
DConv-LSTM-Net: A Novel Architecture for Single- and 12-Lead ECG Anomaly Detection
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 22763-22776
Closed Access | Times Cited: 5
Atrial Fibrillation Detection With Spectral Manifolds in Low-Dimensional Latent Spaces
Carlos-Paul Bernal-Oñate, Enrique V. Carrera, Francisco-Manuel Melgarejo-Meseguer, et al.
IEEE Access (2023) Vol. 11, pp. 103364-103376
Closed Access | Times Cited: 5
Statistical and Diagnostic Properties of pRRx Parameters in Atrial Fibrillation Detection
Szymon Buś, Konrad Jędrzejewski, Przemysław Guzik
Journal of Clinical Medicine (2022) Vol. 11, Iss. 19, pp. 5702-5702
Open Access | Times Cited: 8
Multi-task cascaded assessment of signal quality for long-term single-lead ECG monitoring
Sen Liu, Gaoyan Zhong, Jiacheng He, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104674-104674
Closed Access | Times Cited: 4
Intelligent assessment of atrial fibrillation gradation based on sinus rhythm electrocardiogram and baseline information
Biqi Tang, Sen Liu, Xujian Feng, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 247, pp. 108093-108093
Closed Access | Times Cited: 1
Advancements in Noise Reduction Techniques in ECG Signals: A Review
Sudha Ellison Mathe, Naveen Kumar Penjarla, Suseela Vappangi, et al.
(2024), pp. 27-33
Closed Access | Times Cited: 1
Identification of Transient Noise to Reduce False Detections in Screening for Atrial Fibrillation
Hesam Halvaei, Emma Svennberg, Leif Sörnmo, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 6
Characterization of Atrial Fibrillation Episode Patterns: A Comparative Study
Monika Butkuvienė, Andrius Petrėnas, Alba Martín-Yebra, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 71, Iss. 1, pp. 106-113
Open Access | Times Cited: 2
Can Deep Learning Models Differentiate Atrial Fibrillation from Atrial Flutter?
Estela Ribeiro, Quenaz Bezerra Soares, Felipe Meneguitti Dias, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization
Felipe Meneguitti Dias, Estela Ribeiro, Ramon A. Moreno, et al.
IEEE Access (2023) Vol. 11, pp. 121739-121752
Open Access | Times Cited: 2
Enhancing Interpretability in Image-Based Ecg Exams for Atrial Fibrillation Classification Using Deep Learning
Estela Ribeiro, Felipe Meneguitti Dias, José Eduardo Krieger, et al.
(2024)
Closed Access
Deep machine learning for biosignal analysis
Pubudu Theekshana Thilakasiri Dissanayakage
(2024)
Open Access
mRMEBP: a unified framework for online detection of atrial fibrillation utilizing deep learning
Xiaolin Zhou, Jinyong Zhang, Hui Li, et al.
npj Biomedical Innovations. (2024) Vol. 1, Iss. 1
Open Access
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