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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:

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

Showing 23 citing articles:

State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Georgios Petmezas, Leandros Stefanopoulos, Vassilis Kilintzis, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e38454-e38454
Open Access | Times Cited: 56
xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features
Marc Goettling, Alexander Hammer, Hagen Malberg, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Nanoparticles for local delivery of siRNA in lung therapy
Małgorzata Kubczak, Sylwia Michlewska, Maria Bryszewska, et al.
Advanced Drug Delivery Reviews (2021) Vol. 179, pp. 114038-114038
Closed Access | Times Cited: 34
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
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
Detection of Atrial Fibrillation in Holter ECG Recordings by ECHOView Images: A Deep Transfer Learning Study
Vessela Krasteva, Todor Stoyanov, Stefan Naydenov, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 865-865
Open Access
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
Sex Differences in Molecular Mechanisms of Cardiovascular Aging
Vanessa Dela Justina, Jéssica Silva Miguez, Fernanda Priviero, et al.
Frontiers in Aging (2021) Vol. 2
Open Access | Times Cited: 25
Exploring the power of photoplethysmogram matrix for atrial fibrillation detection with integrated explainability
Caterina Fuster-Barceló, Alejandro Guerrero-López, Carmen Cámara, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108325-108325
Closed Access | Times Cited: 3
Convolutional Neural Networks for Mechanistic Driver Detection in Atrial Fibrillation
Gonzalo R. Ríos‐Muñoz, Francisco Fernández‐Avilés, Ángel Arenal
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 8, pp. 4216-4216
Open Access | Times Cited: 9
xECGArch: A trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features
Marc Goettling, Alexander Hammer, Hagen Malberg, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Detection of atrial fibrillation using a nonlinear Lorenz Scattergram and deep learning in primary care
Yi Yao, Jia Yu, Miaomiao Wu, et al.
BMC Primary Care (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
The transition from vitellogenesis to choriogenesis triggers the downregulation of the UPR sensors IRE1 and PERK and alterations in the ER architecture in the follicle cells of the vector Rhodnius prolixus
Thamara Rios, Larissa Bomfim, Isabela Ramos
Cell and Tissue Research (2021) Vol. 387, Iss. 1, pp. 63-74
Closed Access | Times Cited: 8
Unleashing the Power of Electrocardiograms: A Novel Approach for Patient Identification in Healthcare Systems with Ecg Signals
Caterina Fuster-Barceló, Carmen Cámara, Pedro Peris‐Lopez
(2023)
Open Access | Times Cited: 2
Recognition of Supraventricular Arrhythmias in Holter ECG Recordings by ECHOView Color Map: A Case Series Study
Stefan Naydenov, Irena Jekova, Vessela Krasteva
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 9, pp. 360-360
Open Access | Times Cited: 2
ECG Arrhythmia Measurement and Classification for Portable Monitoring
K.P. Ajitha Gladis, A. Ahilan, N. Muthukumaran, et al.
Measurement Science Review (2024) Vol. 24, Iss. 4, pp. 118-128
Open Access
Artificial intelligence in the diagnosis of atrial fibrillation: an exploratory systematic review (Preprint)
Rosa Cordula Piulats Egea, Daniel Moreno-Martínez
(2024)
Closed Access
State-of-the-art Deep Learning Methods on Electrocardiogram Data: A Systematic Review (Preprint)
Georgios Petmezas, Leandros Stefanopoulos, Vassiis Kilintzis, et al.
(2022)
Closed Access | Times Cited: 1
Atrial Fibrillation Discrimination for Real-Time ECG Monitoring Based On QT Interval Variation
Ekta Soni, Arpita Nagpal, Khyati Chopra
Indian Journal of Science and Technology (2022) Vol. 15, Iss. 17, pp. 767-777
Open Access | Times Cited: 1
Detection of Paroxysmal Atrial Fibrillation from Dynamic ECG Recordings Based on a Deep Learning Model
Yating Hu, Tengfei Feng, Miao Wang, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Detection of Paroxysmal Atrial Fibrillation from Dynamic ECG Recordings Based on a Deep Learning Model
Yating Hu, Tengfei Feng, Miao Wang, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Integrated experimental-computational analysis of a liver-islet microphysiological system for human-centric diabetes research
Belén Casas, Liisa Vilén, Sophie Bauer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Machine Learning for Clinical Electrophysiology
Axel Loewe, Giorgio Luongo, Jorge Sánchez
Lecture notes in bioengineering (2022), pp. 93-109
Closed Access
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