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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 hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification
Haotian Shi, Haoren Wang, Yixiang Huang, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 171, pp. 1-10
Closed Access | Times Cited: 135

Showing 1-25 of 135 citing articles:

Multi-Disease Prediction Based on Deep Learning: A Survey
Shuxuan Xie, Zengchen Yu, Zhihan Lv
Computer Modeling in Engineering & Sciences (2021) Vol. 128, Iss. 2, pp. 489-522
Open Access | Times Cited: 186
Healthcare 4.0: A review of frontiers in digital health
Prem Prakash Jayaraman, Abdur Rahim Mohammad Forkan, Ahsan Morshed, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2019) Vol. 10, Iss. 2
Closed Access | Times Cited: 159
A Review on the Role of Machine Learning in Enabling IoT Based Healthcare Applications
Hemantha Krishna Bharadwaj, Aayush Agarwal, Vinay Chamola, et al.
IEEE Access (2021) Vol. 9, pp. 38859-38890
Open Access | Times Cited: 149
An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification
Ehab Essa, Xianghua Xie
IEEE Access (2021) Vol. 9, pp. 103452-103464
Open Access | Times Cited: 111
An Improved Framework for Reliable Cardiovascular Disease Prediction Using Hybrid Ensemble Learning
Tanjim Mahmud, Anik Barua, Manoara Begum, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 52
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: 47
Cost-sensitive learning for imbalanced medical data: a review
Imane Araf, Ali Idri, Ikram Chairi
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 28
CAT-Net: Convolution, attention, and transformer based network for single-lead ECG arrhythmia classification
Md. Rabiul Islam, Marwa Qaraqe, Khalid Qaraqe, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106211-106211
Open Access | Times Cited: 18
A high-precision arrhythmia classification method based on dual fully connected neural network
Haoren Wang, Haotian Shi, Ke Lin, et al.
Biomedical Signal Processing and Control (2020) Vol. 58, pp. 101874-101874
Closed Access | Times Cited: 95
Automated heartbeat classification based on deep neural network with multiple input layers
Haotian Shi, Chengjin Qin, Dengyu Xiao, et al.
Knowledge-Based Systems (2019) Vol. 188, pp. 105036-105036
Closed Access | Times Cited: 85
Development of a methodological framework for a robust prediction of the main behaviours of dairy cows using a combination of machine learning algorithms on accelerometer data
Lucile Riaboff, Sylvain Poggi, Aurélien Madouasse, et al.
Computers and Electronics in Agriculture (2020) Vol. 169, pp. 105179-105179
Open Access | Times Cited: 81
Inter-patient arrhythmia classification with improved deep residual convolutional neural network
Yuanlu Li, Renfei Qian, Kun Li
Computer Methods and Programs in Biomedicine (2021) Vol. 214, pp. 106582-106582
Open Access | Times Cited: 70
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
Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm
Felipe Meneguitti Dias, Henrique Luis Moreira Monteiro, Thales Wulfert Cabral, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 202, pp. 105948-105948
Closed Access | Times Cited: 68
Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark
Manal A. Abdel-Fattah, Nermin Abdelhakim Othman, Nagwa Goher
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 46
Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques
Prasannavenkatesan Theerthagiri, J. Vidya
Expert Systems (2022) Vol. 39, Iss. 9
Open Access | Times Cited: 43
RETRACTED ARTICLE: Explainable context-aware IoT framework using human digital twin for healthcare
Tarun Vats, Sunil K. Singh, Sudhakar Kumar, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 22, pp. 62489-62490
Closed Access | Times Cited: 32
A transformer model blended with CNN and denoising autoencoder for inter-patient ECG arrhythmia classification
Yong Xia, Yueqi Xiong, Kuanquan Wang
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105271-105271
Closed Access | Times Cited: 29
A SYSTEMATIC LITERATURE REVIEW: RECURSIVE FEATURE ELIMINATION ALGORITHMS
Arif Mudi Priyatno, Triyanna Widiyaningtyas
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) (2024) Vol. 9, Iss. 2, pp. 196-207
Open Access | Times Cited: 14
A GMEE-WFED System: Optimizing Wind Turbine Distribution for Enhanced Renewable Energy Generation in the Future
Mahdi Abed Salman, Muhammed Abaid Mahdi, Samaher Al-Janabi
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 13
Multi-information fusion neural networks for arrhythmia automatic detection
Aiyun Chen, Fei Wang, Wenhan Liu, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 193, pp. 105479-105479
Closed Access | Times Cited: 64
A Novel Deep Learning based Gated Recurrent Unit with Extreme Learning Machine for Electrocardiogram (ECG) Signal Recognition
Clement Virgeniya S., E. Ramaraj
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102779-102779
Closed Access | Times Cited: 45
Predictive analysis of cardiovascular disease using gradient boosting based learning and recursive feature elimination technique
Prasannavenkatesan Theerthagiri
Intelligent Systems with Applications (2022) Vol. 16, pp. 200121-200121
Open Access | Times Cited: 29
The prediction of cardiac abnormality and enhancement in minority class accuracy from imbalanced ECG signals using modified deep neural network models
Hari Mohan, Kalyan Chatterjee, Serhii Dashkevych
Computers in Biology and Medicine (2022) Vol. 150, pp. 106142-106142
Closed Access | Times Cited: 29
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification
Ziyang He, Yufei Chen, Shuaiying Yuan, et al.
Expert Systems with Applications (2023) Vol. 221, pp. 119711-119711
Closed Access | Times Cited: 22
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