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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 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

Showing 1-25 of 142 citing articles:

The future of sleep health: a data-driven revolution in sleep science and medicine
Ignacio Perez-Pozuelo, Bing Zhai, João Palotti, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 223
Spectral Slope and Lempel–Ziv Complexity as Robust Markers of Brain States during Sleep and Wakefulness
Christopher Höhn, Michael A Hahn, Janna D. Lendner, et al.
eNeuro (2024) Vol. 11, Iss. 3, pp. ENEURO.0259-23.2024
Open Access | Times Cited: 20
Deep learning for automated sleep staging using instantaneous heart rate
Niranjan Sridhar, Ali Shoeb, Philip Stephens, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 101
Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)
Hui Wen Loh, Chui Ping Ooi, Jahmunah Vicnesh, et al.
Applied Sciences (2020) Vol. 10, Iss. 24, pp. 8963-8963
Open Access | Times Cited: 90
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
Sensors Capabilities, Performance, and Use of Consumer Sleep Technology
Massimiliano de Zambotti, Nicola Cellini, Luca Menghini, et al.
Sleep Medicine Clinics (2020) Vol. 15, Iss. 1, pp. 1-30
Open Access | Times Cited: 76
Wearable monitoring of sleep-disordered breathing: estimation of the apnea–hypopnea index using wrist-worn reflective photoplethysmography
Gabriele B. Papini, Pedro Fonseca, Merel M. van Gilst, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 70
Attention-Based LSTM for Non-Contact Sleep Stage Classification Using IR-UWB Radar
Hyun Bin Kwon, Sang Ho Choi, Dong‐Seok Lee, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 10, pp. 3844-3853
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
Technologies for sleep monitoring at home: wearables and nearables
Heenam Yoon, Sang Ho Choi
Biomedical Engineering Letters (2023) Vol. 13, Iss. 3, pp. 313-327
Closed Access | Times Cited: 24
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
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
EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network
Saadullah Farooq Abbasi, Jawad Ahmad, Ahsen Tahir, et al.
IEEE Access (2020) Vol. 8, pp. 183025-183034
Open Access | Times Cited: 51
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
Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data
Nico Surantha, Tri Fennia Lesmana, Sani Muhamad Isa
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 45
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
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
OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals
Shiu Kumar, Ronesh Sharma, Alok Sharma
PeerJ Computer Science (2021) Vol. 7, pp. e375-e375
Open Access | Times Cited: 35
Performance of Fitbit Charge 3 against polysomnography in measuring sleep in adolescent boys and girls
Luca Menghini, Dilara Yüksel, Aimée Goldstone, et al.
Chronobiology International (2021) Vol. 38, Iss. 7, pp. 1010-1022
Open Access | Times Cited: 35
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
Transferable Self-Supervised Instance Learning for Sleep Recognition
Aite Zhao, Yue Wang, Jianbo Li
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 4464-4477
Closed Access | Times Cited: 22
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
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