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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:

ProEGAN-MS: A Progressive Growing Generative Adversarial Networks for Electrocardiogram Generation
Haixu Yang, Jihong Liu, Lvheng Zhang, et al.
IEEE Access (2021) Vol. 9, pp. 52089-52100
Open Access | Times Cited: 23

Showing 23 citing articles:

A survey on GANs for computer vision: Recent research, analysis and taxonomy
Guillermo Iglesias, Edgar Talavera, Alberto Díaz-Álvarez
Computer Science Review (2023) Vol. 48, pp. 100553-100553
Open Access | Times Cited: 51
A Generative Adversarial Network (GAN) Technique for Internet of Medical Things Data
Ivan Vaccari, Vanessa Orani, Alessia Paglialonga, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3726-3726
Open Access | Times Cited: 61
Leveraging Statistical Shape Priors in GAN-Based ECG Synthesis
Nour Neifar, Achraf Ben-Hamadou, Afef Mdhaffar, et al.
IEEE Access (2024) Vol. 12, pp. 36002-36015
Open Access | Times Cited: 6
ECG signal generation based on conditional generative models
Yong Xia, Wenyi Wang, Kuanquan Wang
Biomedical Signal Processing and Control (2023) Vol. 82, pp. 104587-104587
Closed Access | Times Cited: 14
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: 14
Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges
Laurenz Berger, Max Haberbusch, Francesco Moscato
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102632-102632
Open Access | Times Cited: 12
ECG data enhancement method using generate adversarial networks based on Bi-LSTM and CBAM
Feiyan Zhou, Jiajia Li
Physiological Measurement (2024) Vol. 45, Iss. 2, pp. 025003-025003
Closed Access | Times Cited: 3
Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 968-979
Closed Access | Times Cited: 14
Deep Generative Models: The winning key for large and easily accessible ECG datasets?
Giuliana Monachino, Beatrice Zanchi, Luigi Fiorillo, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107655-107655
Open Access | Times Cited: 7
Classification feasibility test on multi-lead electrocardiography signals generated from single-lead electrocardiography signals
Giwon Yoon, Segyeong Joo
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies
Muhammed Halil Akpınar, Abdulkadir Şengür, Massimo Salvi, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2024) Vol. 6, pp. 183-192
Open Access | Times Cited: 2
K-means monarchy butterfly optimization for feature selection and Bi-LSTM for arrhythmia classification
Ravindar Mogili, G. Narsimha
Soft Computing (2023) Vol. 27, Iss. 20, pp. 14935-14951
Closed Access | Times Cited: 5
IoT-driven wearable devices enhancing healthcare: ECG classification with cluster-based GAN and meta-features
Constantino Msigwa, Denis Bernard, Jaeseok Yun
Internet of Things (2024), pp. 101405-101405
Closed Access | Times Cited: 1
Disentangling temporal and amplitude variations in ECG synthesis using anchored GANs
Nour Neifar, Afef Mdhaffar, Achraf Ben-Hamadou, et al.
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2022) Vol. 32, pp. 645-652
Closed Access | Times Cited: 4
Arrhythmia Classification Based on Bi-Directional Long Short-Term Memory and Multi-Task Group Method
Shaik Munawar, Geetha Angappan, Srinivas Konda
International Journal of e-Collaboration (2023) Vol. 19, Iss. 1, pp. 1-18
Open Access | Times Cited: 2
SF-ECG: Source-Free Intersubject Domain Adaptation for Electrocardiography-Based Arrhythmia Classification
Taki Hasan Rafi, Young Woong Ko
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8551-8551
Open Access | Times Cited: 2
Deep machine learning for biosignal analysis
Pubudu Theekshana Thilakasiri Dissanayakage
(2024)
Open Access
Improving ECG signal quality assessment through swin-transformer-based generative adversarial network
Zhongyu Wang, Caiyun Ma, Yulong Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106723-106723
Closed Access
An Ensemble Deep Neural Network-Based Method for Person Identification Using Electrocardiogram Signals Acquired on Different Days
Yeong-Hyeon Byeon, Keun-Chang Kwak
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7959-7959
Open Access
Synthetic ECG signals generation: A scoping review
B Zanchi, Giuliana Monachino, Luigi Fiorillo, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109453-109453
Open Access
Research Progress of ECG Monitoring Equipment and Algorithms Based on Polymer Materials
Lvheng Zhang, Jihong Liu
Micromachines (2021) Vol. 12, Iss. 11, pp. 1282-1282
Open Access | Times Cited: 3
A novel weighted approach for automated cardiac arrhythmia beat classification using convolutional neural networks
Ravindar Mogili, G. Narsimha
International Journal of Advanced Technology and Engineering Exploration (2022) Vol. 9, Iss. 95
Open Access | Times Cited: 1
Semi-Supervised Domain Adaptation for Individual Identification from Electrocardiogram Signals
Yeong-Hyeon Byeon, Keun-Chang Kwak
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13259-13259
Open Access
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