Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Systematic Survey of Data Augmentation of ECG Signals for AI Applications
Md Moklesur Rahman, Massimo W. Rivolta, Fabio Badilini, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5237-5237
Open Access | Times Cited: 17

Showing 17 citing articles:

Machine learning predictions of T cell antigen specificity from intracellular calcium dynamics
Sébastien This, Santiago Costantino, Heather J. Melichar
Science Advances (2024) Vol. 10, Iss. 10
Open Access | Times Cited: 6
Overview of Data Augmentation Techniques in Time Series Analysis
Ihababdelbasset Annaki, Mohammed Rahmoune, Mohammed Bourhaleb
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
ECG-Based Biometric Recognition: A Survey of Methods and Databases
David Meltzer, David Luengo
Sensors (2025) Vol. 25, Iss. 6, pp. 1864-1864
Open Access
Electrocardiogram analysis for cardiac arrhythmia classification and prediction through self attention based auto encoder
Ameet Shah, Dhanpratap Singh, Heba G. Mohamed, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Electrocardiogram Abnormality Detection Using Machine Learning on Summary Data and Biometric Features
Kennette James Basco, A. Robert Singh, Daniel Nasef, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 903-903
Open Access
Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals
Yunendah Nur Fuadah, Ki Moo Lim
Biomedical Engineering Letters (2025)
Closed Access
Exploring Cardiac Rhythms and Improving ECG Beat Classification Through Latent Spaces
Alba Vadillo-Valderrama, Jacobo Chaquet-Ulldemolins, Rebeca Goya–Esteban, et al.
IEEE Access (2024) Vol. 12, pp. 27501-27517
Open Access | Times Cited: 3
Artificial intelligence for predicting shockable rhythm during cardiopulmonary resuscitation: In-hospital setting
Sejoong Ahn, Sumin Jung, Jong Park, et al.
Resuscitation (2024) Vol. 202, pp. 110325-110325
Closed Access | Times Cited: 3
ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion
Alex Lence, Federica Granese, Ahmad Fall, et al.
(2025), pp. 2359-2370
Open Access
ADVANCES IN ARTIFICIAL INTELLIGENCE IN CARDIOLOGY: A COMPREHENSIVE REVIEW
Victor Balceiro Legname Martins, Laysla Rangel Freitas Thom, Júlia Mayse Soares Gonçalves, et al.
Revista Ibero-Americana de Humanidades, Ciências e Educação (2024) Vol. 10, Iss. 4, pp. 2442-2456
Open Access | Times Cited: 1
End-to-End Premature Ventricular Contraction Detection Using Deep Neural Networks
Dimitri Kraft, Gerald Bieber, Peter Jokisch, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8573-8573
Open Access | Times Cited: 2
Cardiac alterations induced by Heloderma horridum horridum venom in rats: An experimental study with ECG analysis using a linear regression algorithm
Karla Isabel Vazquez-Gonzalez, Alberto Ochoa-Brust, Alejandrina Rodríguez‐Hernández, et al.
Toxicon (2024) Vol. 249, pp. 108062-108062
Closed Access
Arrhythmia Detection from ECG Traces Images Using Transfer Learning Approach
Trupti G. Thite, Sonal K. Jagtap
Communications in computer and information science (2024), pp. 219-234
Closed Access
Predicting troponin biomarker elevation from electrocardiograms using a deep neural network
Lukas Hilgendorf, Pétur Pétursson, Vibha Gupta, et al.
Open Heart (2024) Vol. 11, Iss. 2, pp. e002937-e002937
Open Access
A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging
Maroua Mehri, Guillaume Calmon, Freddy Odille, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8691-8691
Open Access | Times Cited: 1
A GENERATIVE MODEL FOR DEEP FAKE AUGMENTATION OF PHONOCARDIOGRAM AND ELECTROCARDIOGRAM SIGNALS USING LSGAN AND CYCLE GAN
Swarajya Madhuri Rayavarapu, Tammineni Shanmukha Prasanthi, Gottapu Santosh Kumar, et al.
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska (2023) Vol. 13, Iss. 4, pp. 34-38
Open Access | Times Cited: 1
Predicting T cell activation based on intracellular calcium fluctuations
Sébastien This, Santiago Costantino, Heather J. Melichar
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
End-to-End Premature Ventricular Contraction Detection using Deep Neural Networks
Dimitri Kraft, Gerald Bieber, Peter Jokisch, et al.
(2023)
Open Access
Page 1

Scroll to top