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:

Heartbeat classification based on single lead-II ECG using deep learning
Mohamed F. Issa, Ahmed Yousry, Gergely Tuboly, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17974-e17974
Open Access | Times Cited: 15

Showing 15 citing articles:

Advancements in AI for cardiac arrhythmia detection: A comprehensive overview
Jagdeep Rahul, Lakhan Dev Sharma
Computer Science Review (2025) Vol. 56, pp. 100719-100719
Open Access

Inflammatory Biomarkers and Lipid Parameters May Predict an Increased Risk for Atrial Arrhythmias in Patients with Systemic Sclerosis
Veronika Sebestyén, Dóra Ujvárosy, Balázs Ratku, et al.
Biomedicines (2025) Vol. 13, Iss. 1, pp. 220-220
Open Access

One-stone-for-two-birds strategy for upcycling plastic wastes into high-value-added medical consumables via the dip-coating technique
Min‐Hsuan Lee, Bo Hou
Sustainable materials and technologies (2025), pp. e01261-e01261
Closed Access

Efficient Post-training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
Max Sponner, Lorenzo Servadei, Bernd Waschneck, et al.
Lecture notes in computer science (2025), pp. 99-108
Closed Access

Enhancing single-lead electrocardiogram arrhythmia detection with empirical mode decomposition
Mohamed F. Issa, Ahmed Yousry, Gergely Tuboly, et al.
Neural Computing and Applications (2025)
Closed Access

Preprocessing-Free Convolutional Neural Network Model for Arrhythmia Classification Using ECG Images
Chotirose Prathom, Ryoji Fukuda, Yuto Yokoyanagi, et al.
Technologies (2025) Vol. 13, Iss. 4, pp. 128-128
Open Access

Single Channel Electrocardiography Optimizes the Diagnostic Accuracy of Bicycle Ergometry
Basheer Abdullah Marzoog, Magomed Abdullaev, А. Yu. Suvorov, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Explainable AI-Driven Machine Learning for Heart Disease Detection using ECG Signal
Babita Majhi, Aarti Kashyap
Applied Soft Computing (2024) Vol. 167, pp. 112225-112225
Closed Access | Times Cited: 2

Automated cardiac arrhythmia detection techniques: a comprehensive review for prospective approach
Chandan Kumar Jha
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-16
Closed Access | Times Cited: 1

Cardiovascular Disease Detection from Cardiac Arrhythmia ECG Signals using Artificial Intelligence Models with Hyperparameters Tuning Methodologies
Gowri Shankar M, Harikumar Rajaguru, Sharada Rajanna, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36751-e36751
Closed Access | Times Cited: 1

CARDIO-QVARK Diagnose Ischemic Myocardiocyte!
Basheer Abdullah Marzoog, P. Sh. Chomakhidze, Alexander Suvorov, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning
Zheng-Kai Xue, Shijia Geng, Shaohua Guo, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access

DIFDD: Deep intelligence framework for disease detection using patients electrocardiogram signals and X-ray images
Shimpy Goyal, Rajiv Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82369-82398
Closed Access

An improved electrocardiogram arrhythmia classification performance with feature optimization
Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access

Page 1

Scroll to top