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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 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

Showing 1-25 of 316 citing articles:

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
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Yusuf Çelik, Muhammed Talo, Özal Yıldırım, et al.
Pattern Recognition Letters (2020) Vol. 133, pp. 232-239
Closed Access | Times Cited: 293
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 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
Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling
Irum Hirra, Mubashir Ahmad, Ayaz Hussain, et al.
IEEE Access (2021) Vol. 9, pp. 24273-24287
Open Access | Times Cited: 172
A Comparison of Pooling Methods for Convolutional Neural Networks
Afia Zafar, Muhammad Aamir, Nazri Mohd Nawi, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8643-8643
Open Access | Times Cited: 167
A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting
Hui Liu, Chengqing Yu, Haiping Wu, et al.
Energy (2020) Vol. 202, pp. 117794-117794
Closed Access | Times Cited: 146
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: 141
Hard-rock tunnel lithology prediction with TBM construction big data using a global-attention-mechanism-based LSTM network
Zaobao Liu, Long Li, Xingli Fang, et al.
Automation in Construction (2021) Vol. 125, pp. 103647-103647
Closed Access | Times Cited: 139
Vibration-based anomaly detection using LSTM/SVM approaches
Kilian Vos, Zhongxiao Peng, Christopher Jenkins, et al.
Mechanical Systems and Signal Processing (2021) Vol. 169, pp. 108752-108752
Closed Access | Times Cited: 132
An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification
Ehab Essa, Xianghua Xie
IEEE Access (2021) Vol. 9, pp. 103452-103464
Open Access | Times Cited: 111
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals
V. Jahmunah, E. Y. K. Ng, Ru San Tan, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104457-104457
Closed Access | Times Cited: 106
Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications
Mohamed Hammad, Ahmed A. Abd El‐Latif, Amir Hussain, et al.
Computers & Electrical Engineering (2022) Vol. 100, pp. 108011-108011
Closed Access | Times Cited: 79
Analysis of various techniques for ECG signal in healthcare, past, present, and future
Thivya Anbalagan, Malaya Kumar Nath, D. Vijayalakshmi, et al.
Biomedical Engineering Advances (2023) Vol. 6, pp. 100089-100089
Open Access | Times Cited: 73
Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
Stephanie Baker, Wei Xiang
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 2, pp. 1261-1293
Open Access | Times Cited: 70
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
Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches
Hemaxi Narotamo, Mariana Dias, Ricardo Santos, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106141-106141
Open Access | Times Cited: 17
Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets
Shoaib Sattar, Rafia Mumtaz, M. Usman Qadir, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2484-2484
Open Access | Times Cited: 16
Classification of heart sound signals using a novel deep WaveNet model
Shu Lih Oh, Jahmunah Vicnesh, Chui Ping Ooi, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 196, pp. 105604-105604
Closed Access | Times Cited: 135
An Effective LSTM Recurrent Network to Detect Arrhythmia on Imbalanced ECG Dataset
Junli Gao, Hongpo Zhang, Peng Lu, et al.
Journal of Healthcare Engineering (2019) Vol. 2019, pp. 1-10
Open Access | Times Cited: 133
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
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