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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:

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: 625

Showing 1-25 of 625 citing articles:

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, et al.
Nature Medicine (2018) Vol. 25, Iss. 1, pp. 65-69
Open Access | Times Cited: 2243
Predicting residential energy consumption using CNN-LSTM neural networks
Tae Young Kim, Sung-Bae Cho
Energy (2019) Vol. 182, pp. 72-81
Closed Access | Times Cited: 1134
Detection of Coronavirus Disease (COVID-19) Based on Deep Features
Prabira Kumar Sethy, Santi Kumari Behera
(2020)
Open Access | Times Cited: 728
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
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
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
Photovoltaic power forecasting based LSTM-Convolutional Network
Kejun Wang, Xiaoxia Qi, Hongda Liu
Energy (2019) Vol. 189, pp. 116225-116225
Closed Access | Times Cited: 348
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 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
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
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
Sujan Ghimire, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Aitazaz A. Farooque, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 199
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
Comprehensive electrocardiographic diagnosis based on deep learning
Oh Shu Lih, Jahmunah Vicnesh, Ru San Tan, et al.
Artificial Intelligence in Medicine (2020) Vol. 103, pp. 101789-101789
Open Access | Times Cited: 190
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
Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models
Ali Agga, Ahmed Abbou, Moussa Labbadi, et al.
Renewable Energy (2021) Vol. 177, pp. 101-112
Closed Access | Times Cited: 181
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
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