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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:

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

Showing 1-25 of 723 citing articles:

Automated detection of COVID-19 cases using deep neural networks with X-ray images
Tülin Öztürk, Muhammed Talo, Eylul Azra Yildirim, et al.
Computers in Biology and Medicine (2020) Vol. 121, pp. 103792-103792
Open Access | Times Cited: 2511
A survey of the recent architectures of deep convolutional neural networks
Asifullah Khan, Anabia Sohail, Umme Zahoora, et al.
Artificial Intelligence Review (2020) Vol. 53, Iss. 8, pp. 5455-5516
Closed Access | Times Cited: 2471
Detection of Coronavirus Disease (COVID-19) Based on Deep Features
Prabira Kumar Sethy, Santi Kumari Behera
(2020)
Open Access | Times Cited: 728
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8459-8486
Open Access | Times Cited: 616
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
Dulari Bhatt, Chirag Patel, Hardik Talsania, et al.
Electronics (2021) Vol. 10, Iss. 20, pp. 2470-2470
Open Access | Times Cited: 555
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
Classification of myocardial infarction with multi-lead ECG signals and deep CNN
Ulaş Baran Baloğlu, Muhammed Talo, Özal Yıldırım, et al.
Pattern Recognition Letters (2019) Vol. 122, pp. 23-30
Closed Access | Times Cited: 396
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
A review on transfer learning in EEG signal analysis
Zitong Wan, Rui Yang, Mengjie Huang, et al.
Neurocomputing (2020) Vol. 421, pp. 1-14
Closed Access | Times Cited: 355
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
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 Hybrid CNN-LSTM Model for Forecasting Particulate Matter (PM2.5)
Taoying Li, Miao Hua, Xu Wu
IEEE Access (2020) Vol. 8, pp. 26933-26940
Open Access | Times Cited: 295
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
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 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
Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network
Tao Wang, Changhua Lu, Yining Sun, et al.
Entropy (2021) Vol. 23, Iss. 1, pp. 119-119
Open Access | Times Cited: 215
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
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
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
Evaluation of artificial intelligence techniques in disease diagnosis and prediction
Nafiseh Ghaffar Nia, Erkan Kaplanoğlu, Ahad Nasab
Discover Artificial Intelligence (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 173
ECG arrhythmia classification by using a recurrence plot and convolutional neural network
Bhekumuzi M. Mathunjwa, Yin-Tsong Lin, Chien‐Hung Lin, et al.
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102262-102262
Open Access | Times Cited: 157
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