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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:

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: 265

Showing 1-25 of 265 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: 2506
A survey on deep learning in medicine: Why, how and when?
Francesco Piccialli, Vittorio Di Somma, Fabio Giampaolo, et al.
Information Fusion (2020) Vol. 66, pp. 111-137
Closed Access | Times Cited: 288
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: 244
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI
Ali Raza, Kim Phuc Tran, Ludovic Koehl, et al.
Knowledge-Based Systems (2021) Vol. 236, pp. 107763-107763
Open Access | Times Cited: 123
Automated ECG classification using a non-local convolutional block attention module
Jikuo Wang, Qiao Xu, Changchun Liu, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 203, pp. 106006-106006
Closed Access | Times Cited: 106
Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017–2023
Mohammed Yaqoob Ansari, Omar Mourad, Khalid Qaraqe, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 54
Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals
Zekai Wang, Stavros Stavrakis, Bing Yao
Computers in Biology and Medicine (2023) Vol. 155, pp. 106641-106641
Open Access | Times Cited: 52
Publication guidelines for human heart rate and heart rate variability studies in psychophysiology—Part 1: Physiological underpinnings and foundations of measurement
Karen S. Quigley, Peter J. Gianaros, Greg J. Norman, et al.
Psychophysiology (2024) Vol. 61, Iss. 9
Open Access | Times Cited: 23
Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network
Dinesh Kumar Atal, Mukhtiar Singh
Computer Methods and Programs in Biomedicine (2020) Vol. 196, pp. 105607-105607
Closed Access | Times Cited: 121
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records
Özal Yıldırım, Muhammed Talo, Edward J. Ciaccio, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105740-105740
Open Access | Times Cited: 104
Deep MLP-CNN Model Using Mixed-Data to Distinguish between COVID-19 and Non-COVID-19 Patients
Md Manjurul Ahsan, Tasfiq E. Alam, Theodore B. Trafali̇s, et al.
Symmetry (2020) Vol. 12, Iss. 9, pp. 1526-1526
Open Access | Times Cited: 102
Automated prediction of sepsis using temporal convolutional network
Christopher Kok, Jahmunah Vicnesh, Shu Lih Oh, et al.
Computers in Biology and Medicine (2020) Vol. 127, pp. 103957-103957
Closed Access | Times Cited: 71
BeatClass: A Sustainable ECG Classification System in IoT-Based eHealth
Le Sun, Yilin Wang, Zhiguo Qu, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 10, pp. 7178-7195
Closed Access | Times Cited: 69
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
A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea
Fernando Vaquerizo-Villar, Daniel Álvarez, David Gozal, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 8, pp. 2906-2916
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
ResNet-50 for 12-Lead Electrocardiogram Automated Diagnosis
Nizar Sakli, Haifa Ghabri, Ben Othman Soufiene, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 55
Continuous and simultaneous estimation of lower limb multi-joint angles from sEMG signals based on stacked convolutional and LSTM models
Yanzheng Lu, Hong Wang, Bin Zhou, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117340-117340
Closed Access | Times Cited: 55
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
Heart Disease Detection Based on Feature Fusion Technique with Augmented Classification Using Deep Learning Technology
K. Saikumar, V. Rajesh, Bulepe Sankara Babu
Traitement du signal (2022) Vol. 39, Iss. 1, pp. 31-42
Open Access | Times Cited: 44
Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations
Shan Wei Chen, Shir Li Wang, Xiu Zhi Qi, et al.
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103493-103493
Closed Access | Times Cited: 43
A smart decision support system to diagnose arrhythymia using ensembled ConvNet and ConvNet-LSTM model
Shamik Tiwari, Anurag Jain, Varun Sapra, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118933-118933
Closed Access | Times Cited: 43
ECG Heartbeat Classification Using Machine Learning and Metaheuristic Optimization for Smart Healthcare Systems
M. Hassaballah, Yaser M. Wazery, Ibrahim E. Ibrahim, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 429-429
Open Access | Times Cited: 38
ECG-NET: A deep LSTM autoencoder for detecting anomalous ECG
Moumita Roy, Sukanta Majumder, Anindya Halder, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106484-106484
Closed Access | Times Cited: 34
DeepArr: An investigative tool for arrhythmia detection using a contextual deep neural network from electrocardiograms (ECG) signals
Wissal Midani, Wael Ouarda, Mounir Ben Ayed
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104954-104954
Closed Access | Times Cited: 32
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