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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 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

Showing 1-25 of 139 citing articles:

Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 511
Medical deep learning—A systematic meta-review
Jan Egger, Christina Gsaxner, Antonio Pepe, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106874-106874
Open Access | Times Cited: 172
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9498-9498
Open Access | Times Cited: 111
Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture
Huan Liu, Shaowei Cui, Xiaohui Zhao, et al.
Biomedical Signal Processing and Control (2023) Vol. 82, pp. 104581-104581
Closed Access | Times Cited: 48
Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals
Hisham ElMoaqet, Mohammad Eid, Martin Glos, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5037-5037
Open Access | Times Cited: 78
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
A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea
Fernando Vaquerizo-Villar, Daniel Álvarez, David Gozal, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 8, pp. 2906-2916
Open Access | Times Cited: 56
A review of automated sleep disorder detection
Shuting Xu, Oliver Faust, Silvia Seoni, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106100-106100
Closed Access | Times Cited: 48
Portable evaluation of obstructive sleep apnea in adults: A systematic review
Yet H. Khor, Su‐Wei Khung, Warren R. Ruehland, et al.
Sleep Medicine Reviews (2023) Vol. 68, pp. 101743-101743
Closed Access | Times Cited: 24
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
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
Deep learning of sleep apnea-hypopnea events for accurate classification of obstructive sleep apnea and determination of clinical severity
Soonhyun Yook, Dongyeop Kim, Chaitanya Gupte, et al.
Sleep Medicine (2024) Vol. 114, pp. 211-219
Closed Access | Times Cited: 7
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: 42
Towards Validating the Effectiveness of Obstructive Sleep Apnea Classification from Electronic Health Records Using Machine Learning
Jayroop Ramesh, Niha Keeran, Assim Sagahyroon, et al.
Healthcare (2021) Vol. 9, Iss. 11, pp. 1450-1450
Open Access | Times Cited: 39
The Future of Sleep Measurements
Erna Sif Arnardóttir, Anna Sigríður Íslind, María Óskarsdóttir
Sleep Medicine Clinics (2021) Vol. 16, Iss. 3, pp. 447-464
Closed Access | Times Cited: 33
Design and Conceptual Proposal of an Intelligent Clinical Decision Support System for the Diagnosis of Suspicious Obstructive Sleep Apnea Patients from Health Profile
Manuel Casal-Guisande, María Torres‐Durán, Mar Mosteiro, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 4, pp. 3627-3627
Open Access | Times Cited: 13
Systematic Review of Detecting Sleep Apnea Using Artificial Intelligence: An Insight to Convolutional Neural Network Method
Behnam Samadi, Shahram Samadi, Mehrshad Samadi, et al.
Archives of Neuroscience (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
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 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors
Arlene John, Barry Cardiff, Deepu John
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2021)
Open Access | Times Cited: 29
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
Manish Sharma, Divyash Kumbhani, Jainendra Tiwari, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105364-105364
Closed Access | Times Cited: 22
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry
Jorge Jiménez-García, María García, Gonzalo C. Gutiérrez‐Tobal, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105784-105784
Open Access | Times Cited: 22
Explainable machine learning for sleep apnea prediction
A. R. Troncoso-García, M. Martínez-Ballesteros, Francisco Martínez–Álvarez, et al.
Procedia Computer Science (2022) Vol. 207, pp. 2930-2939
Open Access | Times Cited: 20
Deep Learning Forecasts the Occurrence of Sleep Apnea from Single-Lead ECG
Mahsa Bahrami, Mohamad Forouzanfar
Cardiovascular Engineering and Technology (2022) Vol. 13, Iss. 6, pp. 809-815
Closed Access | Times Cited: 19
Detection of sleep apnea from single-channel electroencephalogram (EEG) using an explainable convolutional neural network (CNN)
Lachlan D Barnes, Kevin Lee, Andreas W. Kempa-Liehr, et al.
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0272167-e0272167
Open Access | Times Cited: 19
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