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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:

An ECG Heartbeat Classification Method Based on Deep Convolutional Neural Network
Dengqing Zhang, Yuxuan Chen, Yunyi Chen, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 22

Showing 22 citing articles:

Global ECG Classification by Self-Operational Neural Networks With Feature Injection
Muhammad Uzair Zahid, Serkan Kıranyaz, Moncef Gabbouj
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 1, pp. 205-215
Open Access | Times Cited: 42
Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review
Hanna Vitaliyivna Denysyuk, Rui João Pinto, Pedro Miguel Silva, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13601-e13601
Open Access | Times Cited: 21
Cardiovascular disease classification using continuous wavelet transform and deep learning model
Salam Devayani Devi, Loitongbam Surajkumar Singh, Khelchandra Thongam
AIP conference proceedings (2025) Vol. 3159, pp. 020006-020006
Closed Access
The deep convolutional networks for the classification of multi-class arrhythmia
Muhamad Akbar, Siti Nurmaini, Radiyati Umi Partan
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 2, pp. 1325-1333
Open Access | Times Cited: 4
Attention-assisted hybrid CNN-BILSTM-BiGRU model with SMOTE–Tomek method to detect cardiac arrhythmia based on 12-lead electrocardiogram signals
Sara Chopannejad, Arash Roshanpoor, Farahnaz Sadoughi
Digital Health (2024) Vol. 10
Open Access | Times Cited: 3
Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification
Tanuja Subba, Tejbanta Singh Chingtham
IEEE Access (2024) Vol. 12, pp. 57727-57740
Open Access | Times Cited: 2
A Novel Hybrid Model Based on Convolutional Neural Network With Particle Swarm Optimization Algorithm for Classification of Cardiac Arrhythmias
Fredy Santander-Baños, Norberto Hernández-Romero, Juan Carlos Seck-Tuoh-Mora, et al.
IEEE Access (2023) Vol. 11, pp. 55515-55532
Open Access | Times Cited: 6
Modified parametric-based AlexNet structure to classify ECG signals for cardiovascular diseases
S. T. Aarthy, J. L. Mazher Iqbal
Measurement Sensors (2023) Vol. 27, pp. 100816-100816
Open Access | Times Cited: 5
CS-based multi-task learning network for arrhythmia reconstruction and classification using ECG signals
Suigu Tang, Zicong Deng
Physiological Measurement (2023) Vol. 44, Iss. 7, pp. 075001-075001
Closed Access | Times Cited: 5
Wavelet Scattering Transform for ECG Cardiovascular Disease Classification
Islam D. S. Aabdalla, D. Vasumathi
International Journal of Artificial Intelligence & Applications (2024) Vol. 15, Iss. 1, pp. 101-113
Open Access
A Comprehensive Systematic Review for Cardiovascular Disease using Machine Learning Techniques
Islam D. S. Aabdalla, Dr.D. Vasumathi
International Journal of Artificial Intelligence & Applications (2024) Vol. 15, Iss. 1, pp. 01-23
Open Access

Islam D. S. Aabdalla, D. Vasumathi
International Journal of Artificial Intelligence & Applications (2024) Vol. 15, Iss. 1
Open Access
A survey of ECG signal classification for predicting heart diseases using various machine learning techniques
K. Pragash, J. Jayabharathy
AIP conference proceedings (2024) Vol. 3075, pp. 020258-020258
Closed Access
Prediction of Heart Stroke using Machine Learning Algorithms
R. Kiruba, S.S. Rithish, P. Jagatheeswaran, et al.
(2024), pp. 1798-1804
Closed Access
Cardiovascular Anomaly Detection with Heterogeneous Wave Segment Harmonization for Lightweight Systems
Kürşat Çakal, Mehmet Önder Efe
Cybernetics & Systems (2023), pp. 1-20
Closed Access | Times Cited: 1
ECG Image Analysis for Medical Issue Detection using Deep Transfer Learning Techniques
Aniverthy Amrutesh, Asha Rani K P, S Gowrishankar
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 1
Retracted: An ECG Heartbeat Classification Method Based on Deep Convolutional Neural Network
Journal Of Healthcare Engineering
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 1
Clasificación de Arritmias Cardíacas mediante Redes Neuronales Convolucionales y Optimización por Enjambre de Partículas
Fredy Santander-Baños, Norberto Hernández-Romero, Irving Barragán-Vite, et al.
PÄDI Boletín Científico de Ciencias Básicas e Ingenierías del ICBI (2022) Vol. 10, Iss. Especial2, pp. 42-55
Open Access | Times Cited: 1
Heart Arrhythmia Detection with Novel Approach H3-SAD
Kürşat Çakal, Mehmet Önder Efe
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2022) Vol. 2021, pp. 390-395
Closed Access | Times Cited: 1
Classification and Segmentation of Electrocardiogram Signals Using Machine Learning Approach
C. Vinod, Santhosh P Mathew
2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS) (2022), pp. 1-6
Closed Access | Times Cited: 1
Detection of Arrhythmia via Electrical Activity of the Heart Using AI Techniques
J. Pramitha, X. Anitha Mary
Lecture notes in networks and systems (2023), pp. 189-200
Closed Access
An Abnormal Heart Rhythm Warning System Based on a Low-Cost Two-Electrode ECG Signal Using Threshold and Neural Network Approaches
Thuong H. N. Nguyen, Mai Hue T. Truong, Duc M. Le, et al.
Lecture notes in networks and systems (2022), pp. 601-607
Closed Access
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