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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:

Sleep-wake classification via quantifying heart rate variability by convolutional neural network
John Malik, Yu‐Lun Lo, Hau‐Tieng Wu
Physiological Measurement (2018) Vol. 39, Iss. 8, pp. 085004-085004
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Shenda Hong, Yuxi Zhou, Junyuan Shang, et al.
Computers in Biology and Medicine (2020) Vol. 122, pp. 103801-103801
Open Access | Times Cited: 354
Sleep stage classification from heart-rate variability using long short-term memory neural networks
Mustafa Radha, Pedro Fonseca, Arnaud Moreau, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 142
Using Wearable ECG/PPG Sensors for Driver Drowsiness Detection Based on Distinguishable Pattern of Recurrence Plots
Hyeonjeong Lee, Jaewon Lee, Miyoung Shin
Electronics (2019) Vol. 8, Iss. 2, pp. 192-192
Open Access | Times Cited: 102
Physiology, Sleep Stages
Aakash K. Patel, V. D. K. Reddy, John Fontenele Araújo
(2021)
Closed Access | Times Cited: 82
Sensing Physiological and Environmental Quantities to Measure Human Thermal Comfort Through Machine Learning Techniques
Nicole Morresi, Sara Casaccia, Matteo Sorcinelli, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 10, pp. 12322-12337
Open Access | Times Cited: 61
Heart rate variability for medical decision support systems: A review
Oliver Faust, Wanrong Hong, Hui Wen Loh, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105407-105407
Closed Access | Times Cited: 55
Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population
Pedro Fonseca, Merel M. van Gilst, Mustafa Radha, et al.
SLEEP (2020) Vol. 43, Iss. 9
Open Access | Times Cited: 67
Methodologies and Wearable Devices to Monitor Biophysical Parameters Related to Sleep Dysfunctions: An Overview
Roberto De Fazio, Veronica Mattei, Bassam Al‐Naami, et al.
Micromachines (2022) Vol. 13, Iss. 8, pp. 1335-1335
Open Access | Times Cited: 34
Impact of ECG Dataset Diversity on Generalization of CNN Model for Detecting QRS Complex
Ahsan Habib, Chandan Karmakar, John Yearwood
IEEE Access (2019) Vol. 7, pp. 93275-93285
Open Access | Times Cited: 46
Sleep State Classification Using Power Spectral Density and Residual Neural Network with Multichannel EEG Signals
Md Junayed Hasan, Dongkoo Shon, Kichang Im, et al.
Applied Sciences (2020) Vol. 10, Iss. 21, pp. 7639-7639
Open Access | Times Cited: 42
A Persistent Homology Approach to Heart Rate Variability Analysis With an Application to Sleep-Wake Classification
Yu-Min Chung, Chuan-Shen Hu, Yu‐Lun Lo, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 39
Sleep disorders and testosterone deficiency in men
Irina Khripun, Е. В. Беляева
Urology Herald (2025) Vol. 12, Iss. 6, pp. 52-58
Open Access
Sleep-wake stages classification based on single channel ECG signals by using a dynamic connection convolutional neural network
Jun‐Ming Zhang, Hao Dong, Yipei Li, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-16
Closed Access
Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals
Liang Zhao, Menglin Li, Zili He, et al.
Measurement (2022) Vol. 201, pp. 111648-111648
Closed Access | Times Cited: 20
Automatic sleep stage classification using deep learning: signals, data representation, and neural networks
Peng Liu, Wei Qian, Hua Zhang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 4
Portable Sleep Apnea Syndrome Screening and Event Detection Using Long Short-Term Memory Recurrent Neural Network
Hung-Chi Chang, Hau‐Tieng Wu, Po-Chiun Huang, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 6067-6067
Open Access | Times Cited: 28
Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals
Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer
Journal of Computational Science (2022) Vol. 59, pp. 101544-101544
Open Access | Times Cited: 18
A Systematic Review on Driver Drowsiness Detection Using Eye Activity Measures
Ahmet Kolus
IEEE Access (2024) Vol. 12, pp. 97969-97993
Open Access | Times Cited: 3
Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns
Kianoosh Kazemi, Arash Abiri, Yongxiao Zhou, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108679-108679
Closed Access | Times Cited: 3
Classifying sleep–wake stages through recurrent neural networks using pulse oximetry signals
Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102195-102195
Open Access | Times Cited: 27
Automated analysis of activity, sleep, and rhythmic behaviour in various animal species with the Rtivity software
Rui F. O. Silva, Brígida R. Pinho, Nuno Monteiro, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
Photoplethysmographic-based automated sleep–wake classification using a support vector machine
Mohammod Abdul Motin, Chandan Kamakar, Palaniswami Marimuthu, et al.
Physiological Measurement (2020) Vol. 41, Iss. 7, pp. 075013-075013
Closed Access | Times Cited: 17
Proof of concept: Screening for REM sleep behaviour disorder with a minimal set of sensors
Navin Cooray, Fernando Andreotti, Christine Lo, et al.
Clinical Neurophysiology (2021) Vol. 132, Iss. 4, pp. 904-913
Open Access | Times Cited: 14
Automatic sleep staging by cardiorespiratory signals: a systematic review
Farideh Ebrahimi, Iman Alizadeh
Sleep And Breathing (2021) Vol. 26, Iss. 2, pp. 965-981
Closed Access | Times Cited: 14
Multi-stage sleep classification using photoplethysmographic sensor
Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami, et al.
Royal Society Open Science (2023) Vol. 10, Iss. 4
Open Access | Times Cited: 5
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