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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:

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

Showing 1-25 of 67 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
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
Mustafa Radha, Pedro Fonseca, Arnaud Moreau, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 85
State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Georgios Petmezas, Leandros Stefanopoulos, Vassilis Kilintzis, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e38454-e38454
Open Access | Times Cited: 56
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
Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring
Jessie P. Bakker, Marco Ross, Andreas Cerny, et al.
SLEEP (2022) Vol. 46, Iss. 2
Open Access | Times Cited: 45
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
Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice
Huijun Yue, Zhuqi Chen, Wenbin Guo, et al.
Sleep Medicine Reviews (2024) Vol. 74, pp. 101897-101897
Open Access | Times Cited: 13
It is All in the Wrist: Wearable Sleep Staging in a Clinical Population versus Reference Polysomnography
Bernice M. Wulterkens, Pedro Fonseca, Lieke WA Hermans, et al.
Nature and Science of Sleep (2021) Vol. Volume 13, pp. 885-897
Open Access | Times Cited: 51
Contactless Camera-Based Sleep Staging: The HealthBed Study
Fokke van Meulen, Angela Grassi, Leonie van den Heuvel, et al.
Bioengineering (2023) Vol. 10, Iss. 1, pp. 109-109
Open Access | Times Cited: 19
Current status and prospects of automatic sleep stages scoring: Review
Maksym Gaiduk, Ángel Serrano Alarcón, Ralf Seepold, et al.
Biomedical Engineering Letters (2023) Vol. 13, Iss. 3, pp. 247-272
Open Access | Times Cited: 19
Evaluating consumer and clinical sleep technologies: an American Academy of Sleep Medicine update
Sharon Schutte-Rodin, Maryann C. Deak, Seema Khosla, et al.
Journal of Clinical Sleep Medicine (2021) Vol. 17, Iss. 11, pp. 2275-2282
Open Access | Times Cited: 34
SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography
Kevin Kotzen, Peter Charlton, Sharon Salabi, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 924-932
Open Access | Times Cited: 27
A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection
R. Huttunen, Timo Leppänen, Brett Duce, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 5, pp. 1704-1714
Open Access | Times Cited: 22
The Virtual Sleep Lab—A Novel Method for Accurate Four-Class Sleep Staging Using Heart-Rate Variability from Low-Cost Wearables
Pavlos Topalidis, Dominik Philip Johannes Heib, Sebastian Baron, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2390-2390
Open Access | Times Cited: 13
Multi-night home assessment of sleep structure in OSA with and without insomnia
Bernice M. Wulterkens, Niek Den Teuling, Lieke WA Hermans, et al.
Sleep Medicine (2024) Vol. 117, pp. 152-161
Open Access | Times Cited: 4
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
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
Wearables as Translational Physiomarkers and Clinical Endpoints in Insomnia Research: Can Sleep Research Advance Psychiatry?
Victor I. Spoormaker, Borbála Blaskovich
Journal of Sleep Research (2025)
Open Access
Hypnogram and Hypnodensity Analysis of REM Sleep Behaviour Disorder Using Both EEG and HRV‐Based Sleep Staging Models
Jaap F. van der Aar, Merel M. van Gilst, Daan van den Ende, et al.
Journal of Sleep Research (2025)
Open Access
Radar-based sleep stage classification in children undergoing polysomnography: a pilot-study
Robbin de Goederen, Suan Hui Pu, Maria Silos Viu, et al.
Sleep Medicine (2021) Vol. 82, pp. 1-8
Open Access | Times Cited: 30
Automatic sleep scoring: A deep learning architecture for multi-modality time series
Rui Yan, Fan Li, Dongdong Zhou, et al.
Journal of Neuroscience Methods (2020) Vol. 348, pp. 108971-108971
Open Access | Times Cited: 30
Estimating sleep stages using cardiorespiratory signals: validation of a novel algorithm across a wide range of sleep-disordered breathing severity
Jessie P. Bakker, Marco Ross, Ray Vasko, et al.
Journal of Clinical Sleep Medicine (2021)
Open Access | Times Cited: 23
Entropy Analysis of Heart Rate Variability in Different Sleep Stages
Chang Yan, Peng Li, Meicheng Yang, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 379-379
Open Access | Times Cited: 18
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 computationally efficient algorithm for wearable sleep staging in clinical populations
Pedro Fonseca, Marco Ross, Andreas Cerny, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
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