Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Review of Obstructive Sleep Apnea Detection Approaches
Fábio Mendonça, Sheikh Shanawaz Mostafa, Antonio G. Ravelo‐García, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 2, pp. 825-837
Closed Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use
Jeremy Levy, Daniel Álvarez, Aviv A. Rosenberg, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 103
A Systematic Review of Detecting Sleep Apnea Using Deep Learning
Sheikh Shanawaz Mostafa, Fábio Mendonça, Antonio G. Ravelo‐García, et al.
Sensors (2019) Vol. 19, Iss. 22, pp. 4934-4934
Open Access | Times Cited: 138
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks
Tom Van Steenkiste, Willemijn Groenendaal, Dirk Deschrijver, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 6, pp. 2354-2364
Open Access | Times Cited: 119
A Sleep Apnea Detection System Based on a One-Dimensional Deep Convolution Neural Network Model Using Single-Lead Electrocardiogram
Hung‐Yu Chang, Cheng-Yu Yeh, Chung-Te Lee, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4157-4157
Open Access | Times Cited: 93
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 6, pp. 2162-2171
Open Access | Times Cited: 84
Wearable monitoring of sleep-disordered breathing: estimation of the apnea–hypopnea index using wrist-worn reflective photoplethysmography
Gabriele B. Papini, Pedro Fonseca, Merel M. van Gilst, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 70
Diagnosis of Obstructive Sleep Apnea from ECG Signals Using Machine Learning and Deep Learning Classifiers
Alaa Sheta, Hamza Turabieh, Thaer Thaher, et al.
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6622-6622
Open Access | Times Cited: 68
A Survey on Recent Advances in Machine Learning Based Sleep Apnea Detection Systems
Anita Ramachandran, K. R. Anupama
Healthcare (2021) Vol. 9, Iss. 7, pp. 914-914
Open Access | Times Cited: 65
Detection of sleep apnea using deep neural networks and single-lead ECG signals
Asghar Zarei, Hossein Beheshti, Babak Mohammadzadeh Asl
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103125-103125
Closed Access | Times Cited: 61
Obstructive sleep apnea detection from single-lead electrocardiogram signals using one-dimensional squeeze-and-excitation residual group network
Quanan Yang, Lang Zou, Keming Wei, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105124-105124
Closed Access | Times Cited: 59
Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea
Daniele Padovano, Arturo Martínez‐Rodrigo, J.M. Pastor, et al.
Applied Sciences (2025) Vol. 15, Iss. 1, pp. 433-433
Open Access | Times Cited: 1
A review of approaches for analysing obstructive sleep apnoea‐related patterns in pulse oximetry data
Philip I. Terrill
Respirology (2019) Vol. 25, Iss. 5, pp. 475-485
Open Access | Times Cited: 61
Automatic classification of apnea and normal subjects using new features extracted from HRV and ECG-derived respiration signals
Asghar Zarei, Babak Mohammadzadeh Asl
Biomedical Signal Processing and Control (2020) Vol. 59, pp. 101927-101927
Closed Access | Times Cited: 56
AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning
Andrea Bernardini, Andrea Brunello, Gian Luigi Gigli, et al.
Artificial Intelligence in Medicine (2021) Vol. 118, pp. 102133-102133
Open Access | Times Cited: 44
A large collection of real-world pediatric sleep studies
Harlin Lee, Boyue Li, Shelly DeForte, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 35
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Closed Access | Times Cited: 30
Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram
Shuaicong Hu, Yanan Wang, Jian Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5281-5292
Closed Access | Times Cited: 19
Application of LightGBM hybrid model based on TPE algorithm optimization in sleep apnea detection
Xin Xiong, Aikun Wang, Jianfeng He, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 6
Towards automatic home-based sleep apnea estimation using deep learning
Gabriela Retamales, Marino E. Gavidia, Ben Bausch, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
Multi-Objective Hyperparameter Optimization of Convolutional Neural Network for Obstructive Sleep Apnea Detection
Sheikh Shanawaz Mostafa, Fábio Mendonça, Antonio G. Ravelo‐García, et al.
IEEE Access (2020) Vol. 8, pp. 129586-129599
Open Access | Times Cited: 40
A Comprehensive Review: Computational Models for Obstructive Sleep Apnea Detection in Biomedical Applications
E. Smily JeyaJothi, J. Anitha, Shalli Rani, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-21
Open Access | Times Cited: 24
Obstructive Sleep Apnea Detection Scheme Based on Manually Generated Features and Parallel Heterogeneous Deep Learning Model Under IoMT
Shiliang Shao, Guangjie Han, Ting Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 5841-5850
Closed Access | Times Cited: 23
Automatic detection of sleep apnea from single-lead ECG signal using enhanced-deep belief network model
Praveen K. Tyagi, Dheeraj Agrawal
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104401-104401
Closed Access | Times Cited: 23
Detection of Sleep Apnea from Electrocardiogram and Pulse Oximetry Signals Using Random Forest
Jianming Zhu, Aojie Zhou, Qiong Gong, et al.
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4218-4218
Open Access | Times Cited: 22
Sleep Apnea Prediction Using Deep Learning
Eileen Wang, Irena Koprinska, Bryn Jeffries
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5644-5654
Closed Access | Times Cited: 14
Page 1 - Next Page

Scroll to top