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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:

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: 690

Showing 1-25 of 690 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
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
Shu Lih Oh, E. Y. K. Ng, Ru San Tan, et al.
Computers in Biology and Medicine (2018) Vol. 102, pp. 278-287
Open Access | Times Cited: 624
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: 480
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
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Shenda Hong, Yuxi Zhou, Junyuan Shang, et al.
Computers in Biology and Medicine (2020) Vol. 122, pp. 103801-103801
Open Access | Times Cited: 356
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices
Saeed Saadatnejad, Mohammadhosein Oveisi, Matin Hashemi
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 2, pp. 515-523
Open Access | Times Cited: 353
A review on deep learning methods for ECG arrhythmia classification
Zahra Ebrahimi, Mohammad Loni, Masoud Daneshtalab, et al.
Expert Systems with Applications X (2020) Vol. 7, pp. 100033-100033
Open Access | Times Cited: 347
Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals
Nicola Michielli, U. Rajendra Acharya, Filippo Molinari
Computers in Biology and Medicine (2019) Vol. 106, pp. 71-81
Closed 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
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: 266
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets
Georgios Petmezas, Kostas Haris, Leandros Stefanopoulos, et al.
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102194-102194
Closed Access | Times Cited: 258
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
Deep learning in ECG diagnosis: A review
Xinwen Liu, Huan Wang, Zongjin Li, et al.
Knowledge-Based Systems (2021) Vol. 227, pp. 107187-107187
Closed Access | Times Cited: 246
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
RETRACTED ARTICLE: Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
Paweł Pławiak, U. Rajendra Acharya
Neural Computing and Applications (2019) Vol. 32, Iss. 15, pp. 11137-11161
Open Access | Times Cited: 229
A Deep Bidirectional GRU Network Model for Biometric Electrocardiogram Classification Based on Recurrent Neural Networks
Htet Myet Lynn, Sung Bum Pan, Pankoo Kim
IEEE Access (2019) Vol. 7, pp. 145395-145405
Open Access | Times Cited: 228
A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals
Özal Yıldırım, Ulaş Baran Baloğlu, U. Rajendra Acharya
International Journal of Environmental Research and Public Health (2019) Vol. 16, Iss. 4, pp. 599-599
Open Access | Times Cited: 221
Automated arrhythmia classification based on a combination network of CNN and LSTM
Chen Chen, Zhengchun Hua, Ruiqi Zhang, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101819-101819
Closed Access | Times Cited: 219
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 Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms
Mohammad J. Hamayel, Amani Yousef Owda
AI (2021) Vol. 2, Iss. 4, pp. 477-496
Open Access | Times Cited: 193
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
Deep Learning in Physiological Signal Data: A Survey
Beanbonyka Rim, Nak-Jun Sung, Se Dong Min, et al.
Sensors (2020) Vol. 20, Iss. 4, pp. 969-969
Open Access | Times Cited: 189
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model
Han Ma, Shunlin Liang
Remote Sensing of Environment (2022) Vol. 273, pp. 112985-112985
Open Access | Times Cited: 189
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
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