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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 efficient compression of ECG signals using deep convolutional autoencoders
Özal Yıldırım, Ru San Tan, U. Rajendra Acharya
Cognitive Systems Research (2018) Vol. 52, pp. 198-211
Closed Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Arrhythmia detection using deep convolutional neural network with long duration ECG signals
Özal Yıldırım, Paweł Pławiak, Ru San Tan, et al.
Computers in Biology and Medicine (2018) Vol. 102, pp. 411-420
Closed Access | Times Cited: 723
Application of deep transfer learning for automated brain abnormality classification using MR images
Muhammed Talo, Ulaş Baran Baloğlu, Özal Yıldırım, et al.
Cognitive Systems Research (2018) Vol. 54, pp. 176-188
Closed Access | Times Cited: 456
A review of deep learning with special emphasis on architectures, applications and recent trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, et al.
Knowledge-Based Systems (2020) Vol. 194, pp. 105596-105596
Open Access | Times Cited: 339
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: 316
A new machine learning technique for an accurate diagnosis of coronary artery disease
Moloud Abdar, Wojciech Książek, U. Rajendra Acharya, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 179, pp. 104992-104992
Closed Access | Times Cited: 291
Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders
Hsin-Tien Chiang, Yi-Yen Hsieh, Szu‐Wei Fu, et al.
IEEE Access (2019) Vol. 7, pp. 60806-60813
Open Access | Times Cited: 268
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
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals
Betül Ay, Özal Yıldırım, Muhammed Talo, et al.
Journal of Medical Systems (2019) Vol. 43, Iss. 7
Closed Access | Times Cited: 238
Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals
Türker Tuncer, Şengül Doğan, Paweł Pławiak, et al.
Knowledge-Based Systems (2019) Vol. 186, pp. 104923-104923
Closed Access | Times Cited: 193
A deep convolutional neural network model for automated identification of abnormal EEG signals
Özal Yıldırım, Ulaş Baran Baloğlu, U. Rajendra Acharya
Neural Computing and Applications (2018) Vol. 32, Iss. 20, pp. 15857-15868
Closed Access | Times Cited: 180
Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders
Jianxiao Mao, Hao Wang, Billie F. Spencer
Structural Health Monitoring (2020) Vol. 20, Iss. 4, pp. 1609-1626
Closed Access | Times Cited: 163
Automated classification of histopathology images using transfer learning
Muhammed Talo
Artificial Intelligence in Medicine (2019) Vol. 101, pp. 101743-101743
Open Access | Times Cited: 147
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression
Geetanjali Sharma, Abhishek Parashar, Amit M. Joshi
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102393-102393
Closed Access | Times Cited: 141
The challenges of digital transformation in healthcare: An interdisciplinary literature review, framework, and future research agenda
Francesca Dal Mas, Maurizio Massaro, Pierluigi Rippa, et al.
Technovation (2023) Vol. 123, pp. 102716-102716
Closed Access | Times Cited: 96
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, et al.
Neural Networks (2023) Vol. 162, pp. 271-287
Open Access | Times Cited: 47
Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types
Shu Lih Oh, E. Y. K. Ng, Ru San Tan, et al.
Computers in Biology and Medicine (2018) Vol. 105, pp. 92-101
Open Access | Times Cited: 159
Survey on Neural Network Architectures with Deep Learning
S. Smys, Joy Iong Zong Chen, Subarna Shakya
Journal of Soft Computing Paradigm (2020) Vol. 2, Iss. 3, pp. 186-194
Open Access | Times Cited: 126
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 machine learning approach for early detection of hepatocellular carcinoma patients
Wojciech Książek, Moloud Abdar, U. Rajendra Acharya, et al.
Cognitive Systems Research (2018) Vol. 54, pp. 116-127
Closed Access | Times Cited: 108
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Liaqat Ali, Iram Wajahat, Noorbakhsh Amiri Golilarz, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 7, pp. 2783-2792
Closed Access | Times Cited: 100
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification
Hakan Gündüz
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102452-102452
Closed Access | Times Cited: 89
Automated heartbeat classification based on deep neural network with multiple input layers
Haotian Shi, Chengjin Qin, Dengyu Xiao, et al.
Knowledge-Based Systems (2019) Vol. 188, pp. 105036-105036
Closed Access | Times Cited: 85
1D-CADCapsNet: One dimensional deep capsule networks for coronary artery disease detection using ECG signals
Ertan Bütün, Özal Yıldırım, Muhammed Talo, et al.
Physica Medica (2020) Vol. 70, pp. 39-48
Closed Access | Times Cited: 78
A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM
Evangelin Dasan, Ithayarani Panneerselvam
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102225-102225
Closed Access | Times Cited: 71
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
Bhekumuzi M. Mathunjwa, Yin-Tsong Lin, Chien‐Hung Lin, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1660-1660
Open Access | Times Cited: 46
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