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:

Slow-Wave Sleep Estimation for Healthy Subjects and OSA Patients Using R–R Intervals
Heenam Yoon, Su Hwan Hwang, Jae-Won Choi, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 22, Iss. 1, pp. 119-128
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A Systematic Review of Sensing Technologies for Wearable Sleep Staging
Syed Anas Imtiaz
Sensors (2021) Vol. 21, Iss. 5, pp. 1562-1562
Open Access | Times Cited: 125

Role of Oxidative Stress and Inflammation in Insomnia Sleep Disorder and Cardiovascular Diseases: Herbal Antioxidants and Anti-inflammatory Coupled with Insomnia Detection using Machine Learning
Md Belal Bin Heyat, Dakun Lai, Kaishun Wu, et al.
Current Pharmaceutical Design (2022) Vol. 28, Iss. 45, pp. 3618-3636
Closed Access | Times Cited: 38

Smart technologies toward sleep monitoring at home
Kwang Suk Park, Sang Ho Choi
Biomedical Engineering Letters (2019) Vol. 9, Iss. 1, pp. 73-85
Open Access | Times Cited: 70

Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device
Xin Zhang, Weixuan Kou, Eric Chang, et al.
Computers in Biology and Medicine (2018) Vol. 103, pp. 71-81
Open Access | Times Cited: 70

ECG Identification For Personal Authentication Using LSTM-Based Deep Recurrent Neural Networks
Beom-Hun Kim, Jae-Young Pyun
Sensors (2020) Vol. 20, Iss. 11, pp. 3069-3069
Open Access | Times Cited: 69

A NOVEL APPROACH OSA DETECTION USING SINGLE-LEAD ECG SCALOGRAM BASED ON DEEP NEURAL NETWORK
Sinam Ajitkumar Singh, Swanirbhar Majumder
Journal of Mechanics in Medicine and Biology (2019) Vol. 19, Iss. 04, pp. 1950026-1950026
Closed Access | Times Cited: 68

RAFNet: Restricted attention fusion network for sleep apnea detection
Ying Chen, Huijun Yue, Ruifeng Zou, et al.
Neural Networks (2023) Vol. 162, pp. 571-580
Closed Access | Times Cited: 16

Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach
Nannapas Banluesombatkul, Thanawin Rakthanmanon, Theerawit Wilaiprasitporn
(2018)
Open Access | Times Cited: 56

Reproducibility of Heart Rate Variability Is Parameter and Sleep Stage Dependent
David Herzig, Prisca Eser, Ximena Omlin, et al.
Frontiers in Physiology (2018) Vol. 8
Open Access | Times Cited: 55

Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data
Zixing Zhang, Jing Han, Kun Qian, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 1, pp. 300-310
Open Access | Times Cited: 46

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

Sleep quality prediction in caregivers using physiological signals
Reza Sadeghi, Tanvi Banerjee, Jennifer Hughes, et al.
Computers in Biology and Medicine (2019) Vol. 110, pp. 276-288
Open Access | Times Cited: 39

Pressure-Sensor-Based Sleep Status and Quality Evaluation System
Lih‐Jen Kau, Mao-Yin Wang, Houcheng Zhou
IEEE Sensors Journal (2023) Vol. 23, Iss. 9, pp. 9739-9754
Closed Access | Times Cited: 9

Sleep stage estimation method using a camera for home use
Teruaki Nochino, Yuko Ohno, Takafumi Kato, et al.
Biomedical Engineering Letters (2019) Vol. 9, Iss. 2, pp. 257-265
Open Access | Times Cited: 23

Non-Contact Sleep Stage Detection Using Canonical Correlation Analysis of Respiratory Sound
Biao Xue, Boya Deng, Hong Hong, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 2, pp. 614-625
Closed Access | Times Cited: 22

A Hybrid Feature Selection and Extraction Methods for Sleep Apnea Detection Using Bio-Signals
Xilin Li, Sai Ho Ling, Steven W. Su
Sensors (2020) Vol. 20, Iss. 15, pp. 4323-4323
Open Access | Times Cited: 22

Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification Using Polyvinylidene Fluoride Film Sensor
Sang Ho Choi, Hyun Bin Kwon, Hyung Won Jin, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 12, pp. 3606-3615
Closed Access | Times Cited: 21

A Smart Flexible Sleep-Aid Eye Mask Based on Acupoint Electric Pulse Stimulation Combined Bioelectrical Signal Feedback
Chunhua He, Wei Huang, Guangxiong Zhong, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 4, pp. 7228-7240
Closed Access | Times Cited: 5

Wakefulness evaluation during sleep for healthy subjects and OSA patients using a patch-type device
Heenam Yoon, Su Hwan Hwang, Sang Ho Choi, et al.
Computer Methods and Programs in Biomedicine (2017) Vol. 155, pp. 127-138
Closed Access | Times Cited: 13

Classification of Sleep Apneas using Decision Tree Classifier
Remalli Rohan, L. V. Rajani Kumari
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2021), pp. 1310-1316
Closed Access | Times Cited: 10

Evaluation of the PSO Metaheuristic Algorithm in Different Types of Sleep Apnea Diagnosis Using RR Intervals
Zeinab Kohzadi, Reza Safdari, Khosro Sadeghniiat‐Haghighi
Journal of Biomedical Physics and Engineering (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 3

Clinical Validation of a Capacitive Electrocardiogram Cushion Utilized for Arrhythmias Monitoring
Yonglin Wu, Ke Xu, Shun Peng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 3

Development of a non-contact sleep monitoring system for children
Masamitsu Kamon, Shima Okada, Masafumi Furuta, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 4

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