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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:

Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals
Yongbo Liang, Shimin Yin, Qunfeng Tang, et al.
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review
Qiao Xiao, Khuan Lee, Siti Aisah Mokhtar, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4964-4964
Open Access | Times Cited: 75
Trends in Heart-Rate Variability Signal Analysis
Syem Ishaque, Naimul Khan, Sridhar Krishnan
Frontiers in Digital Health (2021) Vol. 3
Open Access | Times Cited: 101
Internet of things and deep learning enabled healthcare disease diagnosis using biomedical electrocardiogram signals
Ashish Khanna, Pandiaraj Selvaraj, Deepak Gupta, et al.
Expert Systems (2021) Vol. 40, Iss. 4
Closed Access | Times Cited: 58
State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Georgios Petmezas, Leandros Stefanopoulos, Vassilis Kilintzis, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e38454-e38454
Open Access | Times Cited: 56
Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis
Solam Lee, Yuseong Chu, Jiseung Ryu, et al.
Yonsei Medical Journal (2022) Vol. 63, Iss. Suppl, pp. S93-S93
Open Access | Times Cited: 50
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review
Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, et al.
Diagnostics (2022) Vol. 12, Iss. 3, pp. 722-722
Open Access | Times Cited: 42
Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term Memory
Yun Kwan Kim, Minji Lee, Hee Seok Song, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-17
Open Access | Times Cited: 40
Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review
Hanna Vitaliyivna Denysyuk, Rui João Pinto, Pedro Miguel Silva, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13601-e13601
Open Access | Times Cited: 24
ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review
Pedro A. Moreno-Sánchez, Guadalupe García Isla, Valentina Corino, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108235-108235
Open Access | Times Cited: 10
Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals
Radek Martínek, Martina Ládrová, Michaela Šidiková, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5186-5186
Open Access | Times Cited: 49
HeartNet: Self Multihead Attention Mechanism via Convolutional Network With Adversarial Data Synthesis for ECG-Based Arrhythmia Classification
Taki Hasan Rafi, Young Woong Ko
IEEE Access (2022) Vol. 10, pp. 100501-100512
Open Access | Times Cited: 22
A lightweight deep learning approach for patient-specific electrocardiogram beat classification using local and long-term dependencies
Allam Jaya Prakash, Mohamed Atef
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110754-110754
Open Access
The Application of Deep Learning Algorithms for PPG Signal Processing and Classification
Filipa Esgalhado, Beatriz Fernandes, Valentina Vassilenko, et al.
Computers (2021) Vol. 10, Iss. 12, pp. 158-158
Open Access | Times Cited: 32
An Intelligent Learning Approach for Improving ECG Signal Classification and Arrhythmia Analysis
Sarah Allabun
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 3
K-means monarchy butterfly optimization for feature selection and Bi-LSTM for arrhythmia classification
Ravindar Mogili, G. Narsimha
Soft Computing (2023) Vol. 27, Iss. 20, pp. 14935-14951
Closed Access | Times Cited: 5
FRACTAL DIMENSION TECHNIQUES FOR ANALYSIS OF CARDIAC AUTONOMIC NEUROPATHY (CAN)
S. Sharanya, Sridhar P. Arjunan
Biomedical Engineering Applications Basis and Communications (2023) Vol. 35, Iss. 03
Closed Access | Times Cited: 4
RR Interval-based atrial fibrillation detection using traditional and ensemble machine learning algorithms
Shrikanth Rao S.K, Roshan Joy Martis
Journal of Medical Signals & Sensors (2023) Vol. 13, Iss. 3, pp. 224-232
Open Access | Times Cited: 4
Artificial intelligence and big data from digital health applications: publication trends and analysis
Selma ARSLANTAŞ
Journal of Health Organization and Management (2024)
Closed Access | Times Cited: 1
Development of a Convolutional Neural Network Model to Predict Coronary Artery Disease Based on Single-Lead and Twelve-Lead ECG Signals
Shrivathsa Thokur Vasudeva, Shrikantha S. Rao, Navin Karanth Panambur, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7711-7711
Open Access | Times Cited: 4
Cardiac Arrhythmia Classification Using Cascaded Deep Learning Approach (LSTM & RNN)
Jay Prakash Maurya, Manish Manoria, Sunil Joshi
Communications in computer and information science (2022), pp. 3-13
Closed Access | Times Cited: 4
Performance Evaluation of Classifiers for ECG Signal Analysis
Sundari Tribhuvanam, H. C. Nagaraj, Vps Naidu
(2023)
Closed Access | Times Cited: 2
Classification of ECG signals based on local fractal feature
Wenjing Jiang, Jian Wang
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 54773-54789
Closed Access | Times Cited: 2
Compelling new electrocardiographic markers for automatic diagnosis
Cristina Rueda, Itziar Fernández, Yolanda Larriba, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106807-106807
Open Access | Times Cited: 4
Pragmatic screening for heart failure in the general population using an electrocardiogram‐based neural network
Kishore Surendra, Sylvia Nürnberg, J P Bremer, et al.
ESC Heart Failure (2022) Vol. 10, Iss. 2, pp. 975-984
Open Access | Times Cited: 4
Intelligent Biomedical Electrocardiogram Signal Processing for Cardiovascular Disease Diagnosis
Jin Wang, Chenchen Han, Xiaofeng Yu, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 71, Iss. 1, pp. 255-268
Open Access | Times Cited: 4
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