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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 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

Showing 1-25 of 258 citing articles:

A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
Ishaani Priyadarshini, Chase Cotton
The Journal of Supercomputing (2021) Vol. 77, Iss. 12, pp. 13911-13932
Open Access | Times Cited: 186
Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function
Georgios Petmezas, Grigorios‐Aris Cheimariotis, Leandros Stefanopoulos, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1232-1232
Open Access | Times Cited: 98
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: 77
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
Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling
Sai Li, Yanfeng Peng, Yiping Shen, et al.
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109938-109938
Closed Access | Times Cited: 48
Artificial Intelligence-Enabled Novel Atrial Fibrillation Diagnosis System Using 3D Pulse Perception Flexible Pressure Sensor Array
Yujie Cao, Ping Li, Yirun Zhu, et al.
ACS Sensors (2025)
Closed Access | Times Cited: 2
Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG
Jagdeep Rahul, Lakhan Dev Sharma
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103270-103270
Closed Access | Times Cited: 61
Review of Deep Learning-Based Atrial Fibrillation Detection Studies
Fatma Murat, Ferhat Sadak, Özal Yıldırım, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 21, pp. 11302-11302
Open Access | Times Cited: 59
Deep embedded hybrid CNN–LSTM network for lane detection on NVIDIA Jetson Xavier NX
Yassin Kortli, Souhir Gabsi, L.F.C. Lew Yan Voon, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 107941-107941
Open Access | Times Cited: 56
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
Multifunctional, breathable MXene-PU mesh electronic skin for wearable intelligent 12-lead ECG monitoring system
Tianrui Cui, Yancong Qiao, Ding Li, et al.
Chemical Engineering Journal (2022) Vol. 455, pp. 140690-140690
Closed Access | Times Cited: 53
Automatic cardiac arrhythmia classification based on hybrid 1-D CNN and Bi-LSTM model
Jagdeep Rahul, Lakhan Dev Sharma
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 312-324
Closed Access | Times Cited: 52
Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data
Fatih Demir, Yaman Akbulut, Burak Taşçı, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104424-104424
Closed Access | Times Cited: 52
A lightweight hybrid deep learning system for cardiac valvular disease classification
Yazan Al-Issa, Ali Mohammad Alqudah
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 49
Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ECG signal
Bartłomiej Król-Józaga
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103470-103470
Closed Access | Times Cited: 48
Subway tunnel damage detection based on in-service train dynamic response, variational mode decomposition, convolutional neural networks and long short-term memory
Yonglai Zhang, Xiongyao Xie, Hongqiao Li, et al.
Automation in Construction (2022) Vol. 139, pp. 104293-104293
Closed Access | Times Cited: 48
A novel automated CNN arrhythmia classifier with memory-enhanced artificial hummingbird algorithm
Evren Kıymaç, Yasin Kaya
Expert Systems with Applications (2022) Vol. 213, pp. 119162-119162
Closed Access | Times Cited: 45
Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification
Prateek Singh, Ambalika Sharma
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Open Access | Times Cited: 43
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
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh
Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, et al.
Information (2023) Vol. 14, Iss. 7, pp. 376-376
Open Access | Times Cited: 26
Recent advancements and applications of deep learning in heart failure: Α systematic review
Georgios Petmezas, Vasileios E. Papageorgiou, Vasileios Vassilikos, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108557-108557
Closed Access | Times Cited: 13
Bidirectional gated recurrent unit with auto encoders for detecting arrhythmia using ECG data
R. Sarankumar, M. Ramkumar, K. Vijaipriya, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111696-111696
Closed Access | Times Cited: 11
AttBiLFNet: A novel hybrid network for accurate and efficient arrhythmia detection in imbalanced ECG signals
Enes Efe, Emrehan Yavşan
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 4, pp. 5863-5880
Open Access | Times Cited: 10
Detection of atrial fibrillation from pulse waves using convolution neural networks and recurrence-based plots
Hiroyuki Kitajima, Kentaro Takeda, Makoto Ishizawa, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 3
Open Access | Times Cited: 1
An intelligent computer-aided approach for atrial fibrillation and atrial flutter signals classification using modified bidirectional LSTM network
Jibin Wang
Information Sciences (2021) Vol. 574, pp. 320-332
Closed Access | Times Cited: 53
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