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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:

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: 105

Showing 1-25 of 105 citing articles:

Deep learning model for automated kidney stone detection using coronal CT images
Kadir Yıldırım, Pınar Gündoğan Bozdağ, Muhammed Talo, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104569-104569
Closed Access | Times Cited: 124
Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data
Hari Mohan, Kalyan Chatterjee
Applied Intelligence (2021) Vol. 52, Iss. 5, pp. 5366-5384
Closed Access | Times Cited: 121
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
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR
Yeşim Eroğlu, Muhammed Yıldırım, Ahmet Çınar
Computers in Biology and Medicine (2021) Vol. 133, pp. 104407-104407
Closed Access | Times Cited: 105
Comprehensive survey of computational ECG analysis: Databases, methods and applications
Elena Merdjanovska, Aleksandra Rashkovska
Expert Systems with Applications (2022) Vol. 203, pp. 117206-117206
Open Access | Times Cited: 97
Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports
Luyao Yang, Osama Amin, Basem Shihada
ACM Computing Surveys (2024) Vol. 56, Iss. 7, pp. 1-42
Closed Access | Times Cited: 21
Explainable AI decision model for ECG data of cardiac disorders
Atul Anand, Tushar Kadian, Manu Kumar Shetty, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103584-103584
Closed Access | Times Cited: 60
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
A novel method for reducing arrhythmia classification from 12-lead ECG signals to single-lead ECG with minimal loss of accuracy through teacher-student knowledge distillation
Majid Sepahvand, Fardin Abdali-Mohammadi
Information Sciences (2022) Vol. 593, pp. 64-77
Closed Access | Times Cited: 54
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
Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases
Taeyoung Yoon, Daesung Kang
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 373-373
Open Access | Times Cited: 29
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 for electrocardiogram interpretation: Bench to bedside
Bas B. S. Schots, Christian Pizarro, Bauke K. O. Arends, et al.
European Journal of Clinical Investigation (2025) Vol. 55, Iss. S1
Open Access | Times Cited: 1
Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records
Mehmet Bayğın, Türker Tuncer, Şengül Doğan, et al.
Information Sciences (2021) Vol. 575, pp. 323-337
Closed Access | Times Cited: 53
Automated major depressive disorder detection using melamine pattern with EEG signals
Emrah Aydemir, Türker Tuncer, Şengül Doğan, et al.
Applied Intelligence (2021) Vol. 51, Iss. 9, pp. 6449-6466
Closed Access | Times Cited: 49
Multi-classification of arrhythmias using a HCRNet on imbalanced ECG datasets
Xinyu Luo, Liuyang Yang, Hongyu Cai, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106258-106258
Closed Access | Times Cited: 49
Artificial Intelligence for Cardiac Diseases Diagnosis and Prediction Using ECG Images on Embedded Systems
Lotfi Mhamdi, Oussama Dammak, François Cottin, et al.
Biomedicines (2022) Vol. 10, Iss. 8, pp. 2013-2013
Open Access | Times Cited: 35
Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model
Muhammed Yıldırım, Emine Cengil, Yeşim Eroğlu, et al.
Iran Journal of Computer Science (2023) Vol. 6, Iss. 4, pp. 455-464
Closed Access | Times Cited: 17
Using beat score maps with successive segmentation for ECG classification without R-peak detection
Jaewon Lee, Miyoung Shin
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105982-105982
Open Access | Times Cited: 7
Exploring deep features and ECG attributes to detect cardiac rhythm classes
Fatma Murat, Özal Yıldırım, Muhammed Talo, et al.
Knowledge-Based Systems (2021) Vol. 232, pp. 107473-107473
Closed Access | Times Cited: 37
Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals
Oliver Faust, U. Rajendra Acharya
Expert Systems with Applications (2021) Vol. 181, pp. 115031-115031
Closed Access | Times Cited: 34
A new transfer learning approach to detect cardiac arrhythmia from ECG signals
Mohebbanaaz, L. V. Rajani Kumar, Y. Padma Sai
Signal Image and Video Processing (2022) Vol. 16, Iss. 7, pp. 1945-1953
Closed Access | Times Cited: 28
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification
Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e825-e825
Open Access | Times Cited: 23
HybDeepNet: A Hybrid Deep Learning Model for Detecting Cardiac Arrhythmia from ECG Signals
R. Saravana Ram, J. Akilandeswari, M. Vinoth Kumar
Information Technology And Control (2023) Vol. 52, Iss. 2, pp. 433-444
Open Access | Times Cited: 16
Label correlation embedding guided network for multi-label ECG arrhythmia diagnosis
Shaolin Ran, Xiang Li, Beizhen Zhao, et al.
Knowledge-Based Systems (2023) Vol. 270, pp. 110545-110545
Closed Access | Times Cited: 14
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