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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:

Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks
Ahmet Çınar, Seda Arslan Tuncer
Computer Methods in Biomechanics & Biomedical Engineering (2020) Vol. 24, Iss. 2, pp. 203-214
Closed Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals
Sanjay Kumar, Abhishek Mallik, Akshi Kumar, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106511-106511
Open Access | Times Cited: 50
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: 50
Automated ECG Arrhythmia Classification Using Feature Images with Common Matrix Approach-Based Classifier
Ali Kırkbaş, Aydın Kızılkaya
Sensors (2025) Vol. 25, Iss. 4, pp. 1220-1220
Open Access | Times Cited: 1
Deep learning and electrocardiography: systematic review of current techniques in cardiovascular disease diagnosis and management
Z. Wu, Caixia Guo
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Classification of lymphocytes, monocytes, eosinophils, and neutrophils on white blood cells using hybrid Alexnet-GoogleNet-SVM
Ahmet Çınar, Seda Arslan Tuncer
SN Applied Sciences (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 65
Heartbeats Classification Using Hybrid Time-Frequency Analysis and Transfer Learning Based on ResNet
Yatao Zhang, Junyan Li, Shoushui Wei, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 11, pp. 4175-4184
Closed Access | Times Cited: 61
An improved cardiac arrhythmia classification using an RR interval-based approach
Jagdeep Rahul, Marpe Sora, Lakhan Dev Sharma, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 656-666
Closed Access | Times Cited: 55
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: 55
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: 48
Automated ECG multi-class classification system based on combining deep learning features with HRV and ECG measures
Ahmed S. Eltrass, Mazhar B. Tayel, Abeer I. Ammar
Neural Computing and Applications (2022) Vol. 34, Iss. 11, pp. 8755-8775
Open Access | Times Cited: 43
Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review
Zofia Rudnicka, Klaudia Proniewska, Mark D. Perkins, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 866-866
Open Access | Times Cited: 11
ECG based one-dimensional residual deep convolutional auto-encoder model for heart disease classification
Nikhat Parveen, Manisha Gupta, Shirisha Kasireddy, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 66107-66133
Closed Access | Times Cited: 8
COVID-19 in Iran: Forecasting Pandemic Using Deep Learning
Rahele Kafieh, Roya Arian, Narges Saeedizadeh, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 54
A novel hybrid deep learning method with cuckoo search algorithm for classification of arrhythmia disease using ECG signals
Pooja Sharma, Shail Kumar Dinkar, Deep Gupta
Neural Computing and Applications (2021) Vol. 33, Iss. 19, pp. 13123-13143
Closed Access | Times Cited: 51
Time adaptive ECG driven cardiovascular disease detector
Muhammad Salman Haleem, Rossana Castaldo, Silvio Marcello Pagliara, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102968-102968
Open Access | Times Cited: 47
ECG signals-based automated diagnosis of congestive heart failure using Deep CNN and LSTM architecture
S. Kusuma, K. Jothi
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 247-257
Closed Access | Times Cited: 35
A novel proposed CNN–SVM architecture for ECG scalograms classification
Öznur Özaltın, Özgür Yeniay
Soft Computing (2022) Vol. 27, Iss. 8, pp. 4639-4658
Open Access | Times Cited: 34
Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context
Tibor Stračina, Marina Ronzhina, Richard Redina, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 28
Deep-Learning-Based Arrhythmia Detection Using ECG Signals: A Comparative Study and Performance Evaluation
Nitish Katal, Saurav Gupta, Pankaj Verma, et al.
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3605-3605
Open Access | Times Cited: 17
Scalar invariant transform based deep learning framework for detecting heart failures using ECG signals
Manas Ranjan Prusty, Trilok Nath Pandey, Pujala Shree Lekha, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Clinical risk assessment of chronic kidney disease patients using genetic programming
Arvind Kumar, Nishant Sinha, Arpit Bhardwaj, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2021) Vol. 25, Iss. 8, pp. 887-895
Closed Access | Times Cited: 40
Deep learning models for detecting respiratory pathologies from raw lung auscultation sounds
Ali Mohammad Alqudah, Shoroq Qazan, Yusra Obeidat
Soft Computing (2022) Vol. 26, Iss. 24, pp. 13405-13429
Open Access | Times Cited: 27
Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal
Fatemeh Pouromran, Yingzi Lin, Sagar Kamarthi
Sensors (2022) Vol. 22, Iss. 21, pp. 8087-8087
Open Access | Times Cited: 22
A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions
Argyro Mavrogiorgou, Athanasios Kiourtis, Spyridon Kleftakis, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8615-8615
Open Access | Times Cited: 22
Classification of cardiac disorders using weighted visibility graph features from ECG signals
Gökhan Kutluana, İlker Türker
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105420-105420
Closed Access | Times Cited: 15
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