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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 Review of Atrial Fibrillation Detection Methods as a Service
Oliver Faust, Edward J. Ciaccio, U. Rajendra Acharya
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 9, pp. 3093-3093
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review
Jiandong Huang, J. Wang, Elaine Ramsey, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8002-8002
Open Access | Times Cited: 67
Review of Deep Learning-Based Atrial Fibrillation Detection Studies
Fatma Murat, Ferhat Sadak, Özal Yıldırım, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 21, pp. 11302-11302
Open Access | Times Cited: 59
Heart rate variability for medical decision support systems: A review
Oliver Faust, Wanrong Hong, Hui Wen Loh, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105407-105407
Closed Access | Times Cited: 55
AFibNet: an implementation of atrial fibrillation detection with convolutional neural network
Bambang Tutuko, Siti Nurmaini, Alexander Edo Tondas, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 48
Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals
Oliver Faust, U. Rajendra Acharya
Expert Systems with Applications (2021) Vol. 181, pp. 115031-115031
Closed Access | Times Cited: 33
ESC Working Group on e-Cardiology Position Paper: accuracy and reliability of electrocardiogram monitoring in the detection of atrial fibrillation in cryptogenic stroke patients
Polychronis Dilaveris, C. Antoniou, Enrico G. Caiani, et al.
European Heart Journal - Digital Health (2022) Vol. 3, Iss. 3, pp. 341-358
Open Access | Times Cited: 27
Arrhythmia disease classification utilizing ResRNN
Shikha Dhyani, Adesh Kumar, Sushabhan Choudhury
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104160-104160
Closed Access | Times Cited: 27
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 4
A data-driven problem-solving approach to performance improvement in healthcare systems: a case study in Tehran heart center hospital
Mohammad Masoud Nakhostin, Fariborz Jolai, Esmaeil Hadavandi, et al.
Business Process Management Journal (2025)
Closed Access
Transformer-based heart language model with electrocardiogram annotations
Stojancho Tudjarski, Marjan Gušev, Evangelos Kanoulas
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Signal‐quality‐aware multisensor fusion for atrial fibrillation detection
Seamus Malone, Barry Cardiff, Deepu John, et al.
Healthcare Technology Letters (2025) Vol. 12, Iss. 1
Open Access
Insights into the Role of Galectin-3 as a Diagnostic and Prognostic Biomarker of Atrial Fibrillation
Yasmin Mohtasham Kia, Alessandro Cannavò, Pegah Bahiraie, et al.
Disease Markers (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 11
A Smart Service Platform for Cost Efficient Cardiac Health Monitoring
Oliver Faust, Ningrong Lei, Eng K. Chew, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 17, pp. 6313-6313
Open Access | Times Cited: 29
Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings
Samit Kumar Ghosh, R N Ponnalagu, Rajesh Kumar Tripathy, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-16
Open Access | Times Cited: 24
Fourier space approach for convolutional neural network (CNN) electrocardiogram (ECG) classification: A proof-of-concept study
Madeline Kent, Luiz Vasconcelos, Sardar Ansari, et al.
Journal of Electrocardiology (2023) Vol. 80, pp. 24-33
Closed Access | Times Cited: 8
Wearable Devices Combined with Artificial Intelligence—A Future Technology for Atrial Fibrillation Detection?
Marko Mäkynen, G. André Ng, Xin Li, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8588-8588
Open Access | Times Cited: 13
Accurate detection of atrial fibrillation events with R-R intervals from ECG signals
Junbo Duan, Qing Wang, Bo Zhang, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0271596-e0271596
Open Access | Times Cited: 11
CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia Dataset
Devender Kumar, Sadasivan Puthusserypady, Helena Domínguez, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 9
Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention
Ningrong Lei, Murtadha Kareem, Seung Ki Moon, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 2, pp. 813-813
Open Access | Times Cited: 12
Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata
Zhi Li, Harm Derksen, Jonathan Gryak, et al.
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102200-102200
Open Access | Times Cited: 10
A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke
Murtadha Kareem, Ningrong Lei, Ali Ali, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102818-102818
Closed Access | Times Cited: 9
Atrial Fibrillation Detection Based on Deep Learning Models
Adrian Iftene, Alexandru Burlacu, Daniela Gîfu
Procedia Computer Science (2022) Vol. 207, pp. 3752-3760
Open Access | Times Cited: 6
AFibNet: An Implementation of Atrial Fibrillation Detection With Convolutional Neural Network
Bambang Tutuko, Siti Nurmaini, Alexander Edo Tondas, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 6
The Effects of Compression on the Detection of Atrial Fibrillation in ECG Signals
Raquel Cervigón, Brian McGinley, Darren Craven, et al.
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 5908-5908
Open Access | Times Cited: 5
Very Large-Scale Integration for Premature Ventricular Contraction Detection Using a Convolutional Neural Network
Yuan‐Ho Chen, Hsin-Tung Hua
Journal of Circuits Systems and Computers (2021) Vol. 31, Iss. 05
Closed Access | Times Cited: 5
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