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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:

Oxygen Saturation and RR Intervals Feature Selection for Sleep Apnea Detection
Antonio G. Ravelo‐García, Jan F. Kraemer, Juan L. Navarro-Mesa, et al.
Entropy (2015) Vol. 17, Iss. 5, pp. 2932-2957
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

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: 185
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: 139
SpO2 based sleep apnea detection using deep learning
Sheikh Shanawaz Mostafa, Fábio Mendonça, Fernando Morgado‐Dias, et al.
(2017), pp. 000091-000096
Closed Access | Times Cited: 71
Entropy analysis of heart rate variability and its application to recognize major depressive disorder: A pilot study
Sangwon Byun, Ah Young Kim, Eun Hye Jang, et al.
Technology and Health Care (2019) Vol. 27, pp. 407-424
Open Access | Times Cited: 59
Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis
Himali Singh, Rajesh Kumar Tripathy, Ram Bilas Pachori
Digital Signal Processing (2020) Vol. 104, pp. 102796-102796
Closed Access | Times Cited: 54
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: 45
Heart rate variability feature selection in the presence of sleep apnea: An expert system for the characterization and detection of the disorder
Martín González, Juan L. Navarro-Mesa, Gabriel Juliá-Serdà, et al.
Computers in Biology and Medicine (2017) Vol. 91, pp. 47-58
Closed Access | Times Cited: 54
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: 42
Multitask Residual Shrinkage Convolutional Neural Network for Sleep Apnea Detection Based on Wearable Bracelet Photoplethysmography
Qi Shen, Xin Yang, Lang Zou, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 24, pp. 25207-25222
Closed Access | Times Cited: 26
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: 25
Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals
Manish Sharma, Divyash Kumbhani, Anuj Kumar Yadav, et al.
Applied Intelligence (2021) Vol. 52, Iss. 2, pp. 1325-1337
Closed Access | Times Cited: 31
A Review on Automated Sleep Study
Mehran Yazdi, Mahdi Samaee, Daniel Massicotte
Annals of Biomedical Engineering (2024) Vol. 52, Iss. 6, pp. 1463-1491
Closed Access | Times Cited: 4
The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea
Rafael Rodrigues Dos Santos, M Marumo, Álan Luiz Éckeli, et al.
Frontiers in Cardiovascular Medicine (2025) Vol. 12
Open Access
Optimization of sleep apnea detection using SpO2 and ANN
Sheikh Shanawaz Mostafa, João Paulo Carvalho, Fernando Morgado‐Dias, et al.
(2017), pp. 1-6
Closed Access | Times Cited: 31
Sleep apnea detection using deep learning
Hnin Thiri Chaw, Sinchai Kamolphiwong, Krongthong Wongsritrang
Tehnički glasnik (2019) Vol. 13, Iss. 4, pp. 261-266
Open Access | Times Cited: 26
An Oximetry Based Wireless Device for Sleep Apnea Detection
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado‐Dias, et al.
Sensors (2020) Vol. 20, Iss. 3, pp. 888-888
Open Access | Times Cited: 26
Improving the understanding of sleep apnea characterization using Recurrence Quantification Analysis by defining overall acceptable values for the dimensionality of the system, the delay, and the distance threshold
Martín González, Juan L. Navarro-Mesa, Gabriel Juliá-Serdà, et al.
PLoS ONE (2018) Vol. 13, Iss. 4, pp. e0194462-e0194462
Open Access | Times Cited: 27
Comparison of SFS and mRMR for oximetry feature selection in obstructive sleep apnea detection
Sheikh Shanawaz Mostafa, Fernando Morgado‐Dias, Antonio G. Ravelo‐García
Neural Computing and Applications (2018) Vol. 32, Iss. 20, pp. 15711-15731
Closed Access | Times Cited: 24
Sleep apnea detection from ECG signal using deep CNN-based structures
Ahmad Ayatollahi, Sajjad Afrakhteh, Fatemeh Soltani, et al.
Evolving Systems (2022) Vol. 14, Iss. 2, pp. 191-206
Closed Access | Times Cited: 12
Automated Recognition of Sleep Arousal Using Multimodal and Personalized Deep Ensembles of Neural Networks
Andrea Patané, Shadi Ghiasi, Enzo Pasquale Scilingo, et al.
Computing in cardiology (2018)
Open Access | Times Cited: 19
Greedy based convolutional neural network optimization for detecting apnea
Sheikh Shanawaz Mostafa, Darío Baptista, Antonio G. Ravelo‐García, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105640-105640
Closed Access | Times Cited: 18
Self-x based closed loop wearable IoT for real-time detection and resolution of sleep apnea
Yeong Jun Jeon, Sung Ho Park, Soon Ju Kang
Internet of Things (2023) Vol. 22, pp. 100767-100767
Open Access | Times Cited: 6
Novel method combining multiscale attention entropy of overnight blood oxygen level and machine learning for easy sleep apnea screening
Zilu Liang
Digital Health (2023) Vol. 9
Open Access | Times Cited: 6
Accelerometry-derived respiratory index estimating apnea-hypopnea index for sleep apnea screening
Aurélien Bricout, Julie Fontecave-Jallon, Jean‐Louis Pépin, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 207, pp. 106209-106209
Open Access | Times Cited: 13
A portable wireless device based on oximetry for sleep apnea detection
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado‐Dias, et al.
Computing (2018) Vol. 100, Iss. 11, pp. 1203-1219
Closed Access | Times Cited: 16
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