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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 REVIEW OF ECG-BASED DIAGNOSIS SUPPORT SYSTEMS FOR OBSTRUCTIVE SLEEP APNEA
Oliver Faust, U. Rajendra Acharya, E. Y. K. Ng, et al.
Journal of Mechanics in Medicine and Biology (2016) Vol. 16, Iss. 01, pp. 1640004-1640004
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Deep learning for healthcare applications based on physiological signals: A review
Oliver Faust, Yuki Hagiwara, Jen Hong Tan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 1-13
Closed Access | Times Cited: 896
Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review
Dwaipayan Biswas, Neide Simões-Capela, Chris Van Hoof, et al.
IEEE Sensors Journal (2019) Vol. 19, Iss. 16, pp. 6560-6570
Closed Access | Times Cited: 204
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
A review of automated sleep stage scoring based on physiological signals for the new millennia
Oliver Faust, Hajar Razaghi, Ragab Barika, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 176, pp. 81-91
Open Access | Times Cited: 138
RETRACTED ARTICLE: Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques
Muhammed Kürşad Uçar, Mehmet Recep Bozkurt, Cahit Bílgín, et al.
Neural Computing and Applications (2016) Vol. 29, Iss. 8, pp. 1-16
Closed Access | Times Cited: 105
Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals
Manish Sharma, Shreyansh Agarwal, U. Rajendra Acharya
Computers in Biology and Medicine (2018) Vol. 100, pp. 100-113
Closed Access | Times Cited: 94
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
Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review
Nader Salari, Amin Hosseinian‐Far, Masoud Mohammadi, et al.
Expert Systems with Applications (2021) Vol. 187, pp. 115950-115950
Open Access | Times Cited: 61
A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals
Manish Sharma, Mitesh Raval, U. Rajendra Acharya
Informatics in Medicine Unlocked (2019) Vol. 16, pp. 100170-100170
Open Access | Times Cited: 73
Application of TQWT based filter-bank for sleep apnea screening using ECG signals
Anurag Nishad, Ram Bilas Pachori, U. Rajendra Acharya
Journal of Ambient Intelligence and Humanized Computing (2018) Vol. 15, Iss. 1, pp. 893-904
Closed Access | Times Cited: 71
Application of intrinsic band function technique for automated detection of sleep apnea using HRV and EDR signals
Rajesh Kumar Tripathy
Journal of Applied Biomedicine (2017) Vol. 38, Iss. 1, pp. 136-144
Closed Access | Times Cited: 65
A RR interval based automated apnea detection approach using residual network
Lei Wang, Youfang Lin, Jing Wang
Computer Methods and Programs in Biomedicine (2019) Vol. 176, pp. 93-104
Closed Access | Times Cited: 63
Sleep Apnea Detection from Single-Lead ECG Using Features Based on ECG-Derived Respiration (EDR) Signals
Parvaneh Janbakhshi, Mohammad Bagher Shamsollahi
IRBM (2018) Vol. 39, Iss. 3, pp. 206-218
Closed Access | Times Cited: 59
Accurate detection of sleep apnea with long short-term memory network based on RR interval signals
Oliver Faust, Ragab Barika, Alex Shenfield, et al.
Knowledge-Based Systems (2020) Vol. 212, pp. 106591-106591
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: 53
OSACN-Net: Automated Classification of Sleep Apnea Using Deep Learning Model and Smoothed Gabor Spectrograms of ECG Signal
Kapil Gupta, Varun Bajaj, Irshad Ahmad Ansari
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-9
Closed Access | Times Cited: 45
A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction
Nasir Faruk, Abubakar Abdulkarim, Ifada Emmanuel, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 474-502
Closed Access | Times Cited: 44
Classification of Obstructive Sleep Apnoea from single-lead ECG signals using convolutional neural and Long Short Term Memory networks
Haifa Almutairi, Ghulam Mubashar Hassan, Amitava Datta
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102906-102906
Closed Access | Times Cited: 42
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals
ChS.S.S. Viswabhargav, Rajesh Kumar Tripathy, U. Rajendra Acharya
Computers in Biology and Medicine (2019) Vol. 108, pp. 20-30
Closed Access | Times Cited: 53
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
Revolutionizing Healthcare: How Deep Learning is poised to Change the Landscape of Medical Diagnosis and Treatment
Ahsan Ahmad, Aftab Tariq, Hafiz Khawar Hussain, et al.
Journal Of Computer Networks Architecture and High Performance Computing (2023) Vol. 5, Iss. 2, pp. 458-471
Open Access | Times Cited: 15
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time–frequency analysis
Rajesh Kumar Tripathy, Pranjali Gajbhiye, U. Rajendra Acharya
Computers in Biology and Medicine (2020) Vol. 120, pp. 103769-103769
Closed Access | Times Cited: 34
A Smart Service Platform for Cost Efficient Cardiac Health Monitoring
Oliver Faust, Ningrong Lei, Eng K. Chew, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 17, pp. 6313-6313
Open Access | Times Cited: 29
A clinical evaluation of a low-cost strain gauge respiration belt and machine learning to detect sleep apnea
Stein Kristiansen, Konstantinos Nikolaidis, Thomas Plagemann, et al.
Smart Health (2023) Vol. 27, pp. 100373-100373
Open Access | Times Cited: 9
Automatic detection of sleep apnea from a single-lead ECG signal based on spiking neural network model
Praveen K. Tyagi, Dheeraj Agrawal
Computers in Biology and Medicine (2024) Vol. 179, pp. 108877-108877
Closed Access | Times Cited: 3
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