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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:

A Novel Deep Arrhythmia-Diagnosis Network for Atrial Fibrillation Classification Using Electrocardiogram Signals
Hao Dang, Muyi Sun, Guanhong Zhang, et al.
IEEE Access (2019) Vol. 7, pp. 75577-75590
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Shenda Hong, Yuxi Zhou, Junyuan Shang, et al.
Computers in Biology and Medicine (2020) Vol. 122, pp. 103801-103801
Open Access | Times Cited: 354
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, et al.
Neural Networks (2023) Vol. 162, pp. 271-287
Open Access | Times Cited: 45
An automated detection of heart arrhythmias using machine learning technique: SVM
Ch. Usha Kumari, A. Sampath Dakshina Murthy, B. Lakshmi Prasanna, et al.
Materials Today Proceedings (2020) Vol. 45, pp. 1393-1398
Closed Access | Times Cited: 110
A Review on the State of the Art in Atrial Fibrillation Detection Enabled by Machine Learning
Ali Rizwan, Ahmed Zoha, Ismail Ben Mabrouk, et al.
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 219-239
Open Access | Times Cited: 89
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 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 systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
Musa Nehemiah, Abdulsalam Ya’u Gital, Nahla Aljojo, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 9677-9750
Open Access | Times Cited: 38
AFibri-Net: A Lightweight Convolution Neural Network Based Atrial Fibrillation Detector
Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori
IEEE Transactions on Circuits and Systems I Regular Papers (2023) Vol. 70, Iss. 12, pp. 4962-4974
Closed Access | Times Cited: 24
GSMD-SRST: Group Sparse Mode Decomposition and Superlet-Transform-Based Technique for Multilevel Classification of Cardiac Arrhythmia
Shikha Singhal, Manjeet Kumar
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 8160-8169
Closed Access | Times Cited: 8
Automated detection of shockable ECG signals: A review
Mohamed Hammad, Kandala N. V. P. S. Rajesh, Amira Abdelatey, et al.
Information Sciences (2021) Vol. 571, pp. 580-604
Closed Access | Times Cited: 53
New Hybrid Deep Learning Approach Using BiGRU-BiLSTM and Multilayered Dilated CNN to Detect Arrhythmia
Md Shofiqul Islam, Md Nahidul Islam, Noramiza Hashim, et al.
IEEE Access (2022) Vol. 10, pp. 58081-58096
Open Access | Times Cited: 36
A Robust Framework for Data Generative and Heart Disease Prediction Based on Efficient Deep Learning Models
Raniya R. Sarra, Ahmed M. Dinar, Mazin Abed Mohammed, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 2899-2899
Open Access | Times Cited: 28
An RNN-Bi LSTM Based Multi Decision GAN Approach for the Recognition of Cardiovascular Disease (CVD) From Heart Beat Sound: A Feature Optimization Process
V. N. Manjunath Aradhya, K. Vidyasagar, S Rohith, et al.
IEEE Access (2024) Vol. 12, pp. 65482-65502
Open Access | Times Cited: 6
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
Considerations on Performance Evaluation of Atrial Fibrillation Detectors
Monika Butkuvienė, Andrius Petrėnas, Andrius Sološenko, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 11, pp. 3250-3260
Open Access | Times Cited: 34
CAB: Classifying Arrhythmias based on Imbalanced Sensor Data
Yilin Wang, Sudha Subramani
KSII Transactions on Internet and Information Systems (2021) Vol. 15, Iss. 7
Open Access | Times Cited: 33
Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection
Devender Kumar, Abdolrahman Peimankar, Kamal Sharma, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106899-106899
Open Access | Times Cited: 25
An atrial fibrillation detection algorithm based on lightweight design architecture and feature fusion strategy
Yongjian Li, Meng Chen, Xinge Jiang, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106016-106016
Closed Access | Times Cited: 5
Improving deep-learning electrocardiogram classification with an effective coloring method
Weiwen Chen, Chien‐Chao Tseng, Ching-Chun Huang, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102809-102809
Closed Access | Times Cited: 5
Fast and Resource Efficient Atrial Fibrillation Detection Framework for Long Term Health Monitoring Devices
Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori
IEEE Sensors Letters (2024) Vol. 8, Iss. 4, pp. 1-4
Closed Access | Times Cited: 5
<b>Machine Learning Enabled In-Home ECG: A Review</b>
Aqsa Bibi, Jawwad Sami Ur Rahman
Deleted Journal (2025)
Closed Access
OCADN: Improving Accuracy in Multi-class Arrhythmia Detection from ECG Signals with a Hyperparameter-Optimized CNN
Satria Mandala, Wisnu Jatmiko, Siti Nurmaini, et al.
IEEE Access (2025) Vol. 13, pp. 34687-34705
Open Access
An improved Bi-LSTM method based on heterogeneous features fusion and attention mechanism for ECG recognition
Chaoyang Song, Z. Zhou, Yue Yu, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107903-107903
Closed Access | Times Cited: 11
Performance evaluation of convolution neural network models for detection of abnormal and ventricular ectopic beat cardiac episodes
N. Sriraam, Avvaru Srinivasulu
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65149-65188
Closed Access | Times Cited: 4
An ECG Signal Classification Method Based on Dilated Causal Convolution
Hao Ma, Chao Chen, Qing Zhu, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 24
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