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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 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

Showing 24 citing articles:

Neural interfaces: Bridging the brain to the world beyond healthcare
Shumao Xu, Yang Liu, Hyun‐Jin Lee, et al.
Exploration (2024) Vol. 4, Iss. 5
Open Access | Times Cited: 17
Artificial intelligence in respiratory care: Current scenario and future perspective
Saad Alanazi, Awad Al‐Omari, Safug Alanazi, et al.
Annals of Thoracic Medicine (2024) Vol. 19, Iss. 2, pp. 117-130
Open Access | Times Cited: 8
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
Performance of Machine Learning Models for OSA Detection Based on ECG Signal
Miguel Espinosa, Pedro Ponce, Mario Rojas, et al.
Lecture notes in computer science (2025), pp. 93-107
Closed Access
Aerial Separation and Receiver Arrangements on Identifying Lung Syndromes Using the Artificial Neural Network
Hariprasath Manoharan, Radha Krishna Rambola, Pravin R. Kshirsagar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 18
Obstructive sleep apnea event detection using explainable deep learning models for a portable monitor
Ángel Serrano Alarcón, Natividad Martínez Madrid, Ralf Seepold, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 9
Detection of DDoS Vulnerability in Cloud Computing Using the Perplexed Bayes Classifier
Narendra Mishra, R. K. Singh, Sunil Kumar Yadav
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 15
Review of Application of Machine Learning as a Screening Tool for Diagnosis of Obstructive Sleep Apnea
Ishan Aiyer, Likhita Shaik, Alaa Sheta, et al.
Medicina (2022) Vol. 58, Iss. 11, pp. 1574-1574
Open Access | Times Cited: 13
On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning
Daniele Padovano, Arturo Martínez‐Rodrigo, J.M. Pastor, et al.
IEEE Access (2022) Vol. 10, pp. 92710-92725
Open Access | Times Cited: 12
PSC-Net: Integration of Convolutional Neural Networks and transformers for Physiological Signal Classification
Qichao Liu, Yue Feng, Hong Xu, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106040-106040
Open Access | Times Cited: 1
Bare-bones based honey badger algorithm of CNN for Sleep Apnea detection
Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6145-6165
Closed Access | Times Cited: 1
GRU-TSMixers: Sleep Apnea and Hypopnea Detection Based on Multi Scale MLP-Mixers
Zufang Huang, Kejing He
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 34, pp. 1-8
Closed Access | Times Cited: 1
Systematic review of automated sleep apnea detection based on physiological signal data using deep learning algorithm: a meta-analysis approach
Praveen K. Tyagi, Dheeraj Agarwal
Biomedical Engineering Letters (2023) Vol. 13, Iss. 3, pp. 293-312
Open Access | Times Cited: 2
A Context-enhanced Neural Network Model for Biomedical Event Trigger Detection
Zilin Wang, Yafeng Ren, Qiong Peng, et al.
Information Sciences (2024) Vol. 691, pp. 121625-121625
Closed Access
In the Blink of an Eye: Insomnia Microexpression Classification Using CNN-LSTM
Pritha Singha Roy, Vinay Kukreja, Nisha Chandran S, et al.
(2024), pp. 1-6
Closed Access
Classification of the sleep-wake state through the development of a deep learning model
Ángel Serrano Alarcón, Maksym Gaiduk, Natividad Martínez Madrid, et al.
Procedia Computer Science (2024) Vol. 246, pp. 4636-4645
Open Access
Automated Brain Image Classification Using Nature-Inspired Optimization-Based Machine Learning Algorithm
Gurumukh Das, Gurdeep Singh, Divya Zindani, et al.
Lecture notes in networks and systems (2024), pp. 146-156
Closed Access
PSC-Net: Integration of Convolutional Neural Networks and Transformers for Physiological Signal Classification
Qichao Liu, Yue Feng, Hong Xu, et al.
(2023)
Open Access | Times Cited: 1
Environmental Benefits of Sleep Apnoea Detection in the Home Environment
Ragab Barika, Heather Elphick, Ningrong Lei, et al.
Processes (2022) Vol. 10, Iss. 9, pp. 1739-1739
Open Access | Times Cited: 2
Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection
Daniele Padovano, Arturo Martínez‐Rodrigo, J.M. Pastor, et al.
Computing in cardiology (2022)
Open Access | Times Cited: 2
Identification of arterial oxygen intermittency in oximetry data
Paulo Paneque Galuzio, Alhaji Cherif, Xia Tao, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Retracted: A Comprehensive Review: Computational Models for Obstructive Sleep Apnea Detection in Biomedical Applications
BioMed Research International
BioMed Research International (2023) Vol. 2023, Iss. 1
Open Access
Main requirements of end-to-end deep learning models for biomedical time series classification in healthcare environments
Ángel Serrano Alarcón, Natividad Martínez Madrid, Ralf Seepold, et al.
Procedia Computer Science (2022) Vol. 207, pp. 3038-3046
Open Access
Machine Learning Methods to Detect Obstructive Sleep Apnea under a Robust Testing Framework
Daniele Padovano, Arturo Martínez‐Rodrigo, J.M. Pastor, et al.
2022 E-Health and Bioengineering Conference (EHB) (2022), pp. 01-04
Closed Access
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