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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:

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

Showing 12 citing articles:

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
Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms
M. A. Choudhury, Md Tanvir, Mohammad Abu Yousuf, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109769-109769
Open Access
Sleep Apnea Detection Using Wavelet Scattering Transformation and Random Forest Classifier
Ahmed Sharaf
Entropy (2023) Vol. 25, Iss. 3, pp. 399-399
Open Access | Times Cited: 7
An Optimized Hardware Inference of SABiNN: Shift-Accumulate Binarized Neural Network for Sleep Apnea Detection
Omiya Hassan, Tanmoy Paul, Nazmul Amin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 5
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
Challenges of Applying Automated Polysomnography Scoring at Scale
Diego Álvarez-Estévez
Sleep Medicine Clinics (2023) Vol. 18, Iss. 3, pp. 277-292
Closed Access | Times Cited: 3
Deep and Shallow Learning Model-based Sleep Apnea Diagnosis Systems: A Comprehensive Study
Roksana Akter Raisa, Ayesha Siddika Rodela, Mohammad Abu Yousuf, et al.
IEEE Access (2024) Vol. 12, pp. 122959-122987
Open Access
Heart Diseases Recognition Model Based on HRV Feature Extraction over 12-Lead ECG Signals
Ling Wang, Tianshuo Bi, Jiayu Hao, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5296-5296
Open Access
Detection of Cardiac Arrhythmias in Patients with Obstructive Sleep Apnea using Machine Learning and Deep Learning Algorithms
K Krithik, P. V. Padmashree, Nachiketha Nayak, et al.
(2024), pp. 1-8
Closed Access
IoT-Based Sleep Apnea Monitoring for Timely Detection and Prevention
Dhanasekar Ravikumar, L. Vijayaraja, A. Divya, et al.
(2023), pp. 1363-1368
Closed Access
Cross-Domain Based Deep Neural Network for Obstructive Sleep Apnea Detection via Piezoelectric Ceramic Sensor Array
Yingying Shao, Dikun Hu, Yi Liu, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023) Vol. 17, pp. 3614-3619
Closed 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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