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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:

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: 54

Showing 1-25 of 54 citing articles:

Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram
Erdenebayar Urtnasan, Yoon-Ji Kim, Jong-Uk Park, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 180, pp. 105001-105001
Closed Access | Times Cited: 140
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: 60
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals
Manish Sharma, Harsh S. Dhiman, U. Rajendra Acharya
Computers in Biology and Medicine (2021) Vol. 131, pp. 104246-104246
Closed Access | Times Cited: 57
Application of artificial intelligence in the diagnosis of sleep apnea
George Bazoukis, Sandeep Chandra Bollepalli, Cheuk To Chung, et al.
Journal of Clinical Sleep Medicine (2023) Vol. 19, Iss. 7, pp. 1337-1363
Closed Access | Times Cited: 24
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
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
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
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
Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals
Rajesh Kumar Tripathy, Samit Kumar Ghosh, Pranjali Gajbhiye, et al.
Entropy (2020) Vol. 22, Iss. 10, pp. 1141-1141
Open Access | Times Cited: 46
Weight optimized neural network for heart disease prediction using hybrid lion plus particle swarm algorithm
Renji P. Cherian, Noby Thomas, Sunder Venkitachalam
Journal of Biomedical Informatics (2020) Vol. 110, pp. 103543-103543
Open Access | Times Cited: 45
Performance evaluation of the spectral autocorrelation function and autoregressive models for automated sleep apnea detection using single-lead ECG signal
Asghar Zarei, Babak Mohammadzadeh Asl
Computer Methods and Programs in Biomedicine (2020) Vol. 195, pp. 105626-105626
Closed Access | Times Cited: 41
Classifier Precision Analysis for Sleep Apnea Detection Using ECG Signals
Nuno Pombo, Bruno M. C. Silva, André Pinho, et al.
IEEE Access (2020) Vol. 8, pp. 200477-200485
Open Access | Times Cited: 41
Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN‐LSTM Model
Jun‐Ming Zhang, Zhen Tang, Jinfeng Gao, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 39
A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network
S. M. Isuru Niroshana, Xin Zhu, Keijiro Nakamura, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250618-e0250618
Open Access | Times Cited: 35
Detection of Sleep Apnea from Single-Lead ECG: Comparison of Deep Learning Algorithms
Mahsa Bahrami, Mohamad Forouzanfar
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2021), pp. 1-5
Closed Access | Times Cited: 35
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
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: 24
A Lightweight Feature Fusion and Machine Learning Method for Effective Home Monitoring and Early Detection of Sleep Apnea
Subrata Sarkar, Debajyoti Dhar, Rajib Sarkar, et al.
Lecture notes in electrical engineering (2025), pp. 424-435
Closed Access
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: 35
Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive review
Muhammad Farhan Safdar, Robert Nowak, Piotr Pałka
Computers in Biology and Medicine (2023) Vol. 170, pp. 107908-107908
Open Access | Times Cited: 11
Sleep apnea detection from ECG using variational mode decomposition
Hemant Sharma, Kamalesh Kumar Sharma
Biomedical Physics & Engineering Express (2020) Vol. 6, Iss. 1, pp. 015026-015026
Closed Access | Times Cited: 29
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
Multi-Feature Automatic Extraction for Detecting Obstructive Sleep Apnea Based on Single-Lead Electrocardiography Signals
Yu Zhou, Kyungtae Kang
Sensors (2024) Vol. 24, Iss. 4, pp. 1159-1159
Open Access | Times Cited: 3
Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings
Samit Kumar Ghosh, R N Ponnalagu, Rajesh Kumar Tripathy, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-16
Open Access | Times Cited: 24
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