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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:

APPLICATION OF HIGHER ORDER CUMULANT FEATURES FOR CARDIAC HEALTH DIAGNOSIS USING ECG SIGNALS
Roshan Joy Martis, U. Rajendra Acharya, Choo Min Lim, et al.
International Journal of Neural Systems (2013) Vol. 23, Iss. 04, pp. 1350014-1350014
Closed Access | Times Cited: 177

Showing 1-25 of 177 citing articles:

A deep convolutional neural network model to classify heartbeats
U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Computers in Biology and Medicine (2017) Vol. 89, pp. 389-396
Closed Access | Times Cited: 1179
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
Özal Yıldırım
Computers in Biology and Medicine (2018) Vol. 96, pp. 189-202
Closed Access | Times Cited: 687
Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis
Oliver Faust, U. Rajendra Acharya, Hojjat Adeli, et al.
Seizure (2015) Vol. 26, pp. 56-64
Open Access | Times Cited: 512
ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network
Jingshan Huang, Binqiang Chen, Bin Yao, et al.
IEEE Access (2019) Vol. 7, pp. 92871-92880
Open Access | Times Cited: 479
ECG Heartbeat Classification: A Deep Transferable Representation
Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
(2018), pp. 443-444
Open Access | Times Cited: 452
Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals
Fatin A. Elhaj, Naomie Salim, Arief R. Harris, et al.
Computer Methods and Programs in Biomedicine (2016) Vol. 127, pp. 52-63
Closed Access | Times Cited: 402
A new approach for arrhythmia classification using deep coded features and LSTM networks
Özal Yıldırım, Ulaş Baran Baloğlu, Ru San Tan, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 176, pp. 121-133
Closed Access | Times Cited: 314
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5780-5780
Open Access | Times Cited: 297
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review
Fatma Murat, Özal Yıldırım, Muhammed Talo, et al.
Computers in Biology and Medicine (2020) Vol. 120, pp. 103726-103726
Open Access | Times Cited: 265
LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification
Borui Hou, Jianyong Yang, Pu Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 4, pp. 1232-1240
Closed Access | Times Cited: 247
Current methods in electrocardiogram characterization
Roshan Joy Martis, U. Rajendra Acharya, Hojjat Adeli
Computers in Biology and Medicine (2014) Vol. 48, pp. 133-149
Closed Access | Times Cited: 242
Multiresolution wavelet transform based feature extraction and ECG classification to detect cardiac abnormalities
Santanu Sahoo, Bhupen Kanungo, Suresh Kumar Behera, et al.
Measurement (2017) Vol. 108, pp. 55-66
Closed Access | Times Cited: 227
Generalization of Convolutional Neural Networks for ECG Classification Using Generative Adversarial Networks
Abdelrahman Shaker, Manal Tantawi, Howida A. Shedeed, et al.
IEEE Access (2020) Vol. 8, pp. 35592-35605
Open Access | Times Cited: 192
Electrocardiogram soft computing using hybrid deep learning CNN-ELM
Shuren Zhou, Bo Tan
Applied Soft Computing (2019) Vol. 86, pp. 105778-105778
Closed Access | Times Cited: 176
Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals: A Survey
Santanu Sahoo, Manasa Dash, Santosh Kumar Behera, et al.
IRBM (2020) Vol. 41, Iss. 4, pp. 185-194
Closed Access | Times Cited: 140
A Study on Arrhythmia via ECG Signal Classification Using the Convolutional Neural Network
Mengze Wu, Yongdi Lu, Wenli Yang, et al.
Frontiers in Computational Neuroscience (2021) Vol. 14
Open Access | Times Cited: 126
Computer-Aided Diagnosis of Depression Using EEG Signals
U. Rajendra Acharya, Vidya K. Sudarshan, Hojjat Adeli, et al.
European Neurology (2015) Vol. 73, Iss. 5-6, pp. 329-336
Open Access | Times Cited: 176
Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals
U. Rajendra Acharya, Vidya K. Sudarshan, Joel E.W. Koh, et al.
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 31-43
Closed Access | Times Cited: 126
Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss
Taissir Fekih Romdhane, Haikel Alhichri, Ridha Ouni, et al.
Computers in Biology and Medicine (2020) Vol. 123, pp. 103866-103866
Closed Access | Times Cited: 123
Sparse representation of ECG signals for automated recognition of cardiac arrhythmias
Sandeep Raj, Kailash Chandra Ray
Expert Systems with Applications (2018) Vol. 105, pp. 49-64
Closed Access | Times Cited: 122
Application of higher order statistics for atrial arrhythmia classification
Roshan Joy Martis, U. Rajendra Acharya, Hari Prasad, et al.
Biomedical Signal Processing and Control (2013) Vol. 8, Iss. 6, pp. 888-900
Closed Access | Times Cited: 121
Arrhythmia Recognition and Classification Using ECG Morphology and Segment Feature Analysis
Wenliang Zhu, Xiaohe Chen, Yan Wang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2018) Vol. 16, Iss. 1, pp. 131-138
Closed Access | Times Cited: 119
Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals
Samit Kumar Ghosh, R N Ponnalagu, Rajesh Kumar Tripathy, et al.
Computers in Biology and Medicine (2020) Vol. 118, pp. 103632-103632
Closed Access | Times Cited: 116
A novel technique for cardiac arrhythmia classification using spectral correlation and support vector machines
Aya Khalaf, Mohamed I. Owis, Inas A. Yassine
Expert Systems with Applications (2015) Vol. 42, Iss. 21, pp. 8361-8368
Closed Access | Times Cited: 115
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images
U. Rajendra Acharya, U. Raghavendra, Hamido Fujita, et al.
Computers in Biology and Medicine (2016) Vol. 79, pp. 250-258
Closed Access | Times Cited: 105
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