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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:

A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data
Amelia A. Casciola, Sebastiano K. Carlucci, Brianne A. Kent, et al.
Sensors (2021) Vol. 21, Iss. 10, pp. 3316-3316
Open Access | Times Cited: 25

Showing 25 citing articles:

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
CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets
Enes Efe, Seral Özşen
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104299-104299
Closed Access | Times Cited: 32
An Effective and Interpretable Sleep Stage Classification Approach Using Multi-Domain Electroencephalogram and Electrooculogram Features
Xin Xu, Bei Zhang, Tingting Xu, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 286-286
Open Access
Generalizable Deep Learning-based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings
Matias Rusanen, R. Huttunen, Henri Korkalainen, et al.
IEEE Journal of Biomedical and Health Informatics (2023), pp. 1-12
Open Access | Times Cited: 9
Multi-scale ResNet and BiGRU automatic sleep staging based on attention mechanism
Changyuan Liu, Yunfu Yin, Sun Yuhan, et al.
PLoS ONE (2022) Vol. 17, Iss. 6, pp. e0269500-e0269500
Open Access | Times Cited: 15
Discrimination of Wakefulness From Sleep Stage I Using Nonlinear Features of a Single Frontal EEG Channel
Mohammad Shahbakhti, Matin Beiramvand, Tomas Eigirdas, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 7, pp. 6975-6984
Closed Access | Times Cited: 14
Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG
Akseli Leino, Henri Korkalainen, Laura Kalevo, et al.
IEEE Access (2022) Vol. 10, pp. 26554-26566
Open Access | Times Cited: 13
LieWaves: dataset for lie detection based on EEG signals and wavelets
Musa Aslan, Muhammet Baykara, Talha Burak Alakuş
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 5, pp. 1571-1588
Closed Access | Times Cited: 2
EEG-based headset sleep wearable devices
Karmen Markov, Mohamed Elgendi, Carlo Menon
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 2
New Perspectives in Nonintrusive Sleep Monitoring for Neurodegenerative Diseases—A Narrative Review
Giulia Masi, Gianluca Amprimo, Lorenzo Priano, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1098-1098
Open Access | Times Cited: 6
A novel feature relearning method for automatic sleep staging based on single-channel EEG
Yujie Tao, Yun Yang, Po Yang, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 1, pp. 41-50
Open Access | Times Cited: 9
Home EEG sleep assessment shows reduced slow‐wave sleep in mild–moderate Alzheimer's disease
Brianne A. Kent, Amelia A. Casciola, Sebastiano K. Carlucci, et al.
Alzheimer s & Dementia Translational Research & Clinical Interventions (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 9
A Teenager Physical Fitness Evaluation Model Based on 1D-CNN with LSTM and Wearable Running PPG Recordings
Junqi Guo, Boxin Wan, Siyu Zheng, et al.
Biosensors (2022) Vol. 12, Iss. 4, pp. 202-202
Open Access | Times Cited: 8
Wearable gold–graphene dry electrode-based headband for effective brain–computer interface applications
Yuhang Zheng, Yongyue Sun, Hongji Li, et al.
Journal of Materials Chemistry C (2024) Vol. 12, Iss. 33, pp. 12862-12873
Closed Access | Times Cited: 1
Does EGFR Signaling Mediate Orexin System Activity in Sleep Initiation?
Marina Kniazkina, Vyacheslav Dyachuk
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 11, pp. 9505-9505
Open Access | Times Cited: 2
The evaluation of a novel single-lead biopotential device for home sleep testing
Frederik Massie, Steven Vits, Johan Verbraecken, et al.
SLEEP (2024)
Open Access
Psychotic relapse prediction via biomarker monitoring: a systematic review
Anastasios Smyrnis, Christos Theleritis, Panagiotis Ferentinos, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access
Sleep Monitoring of Children With Nocturnal Enuresis: A Narrative Review
Binbin Zhu, Kun Zou, Jianhua He, et al.
Frontiers in Pediatrics (2021) Vol. 9
Open Access | Times Cited: 4
Emotion Detection Research: A Systematic Review Focuses on Data Type, Classifier Algorithm, and Experimental Methods
Twin Yoshua R. Destyanto
International Journal of Industrial Engineering and Engineering Management (2023) Vol. 5, Iss. 1, pp. 31-43
Open Access | Times Cited: 1
A Virtual Reality and Online Learning Immersion Experience Evaluation Model Based on SVM and Wearable Recordings
Junqi Guo, Boxin Wan, Hao Wu, et al.
Electronics (2022) Vol. 11, Iss. 9, pp. 1429-1429
Open Access | Times Cited: 2
Deep learning enables accurate automatic sleep staging based on ambulatory forehead EEG
A. Leino, H. Korkalainen, L. Kalevo, et al.
Sleep Medicine (2022) Vol. 100, pp. S293-S294
Open Access | Times Cited: 2
Sleep staging prediction model based on XGBoost
Siyuan Liu, Liu Jingyuan, Gu Hangping, et al.
2021 International Conference on Electronic Information Engineering and Computer Science (EIECS) (2021)
Closed Access | Times Cited: 1
Research Progress of EEG Automatic Sleep Staging Based on Deep Learning
哲 许
Advances in Applied Mathematics (2023) Vol. 12, Iss. 01, pp. 21-28
Closed Access
[Automatic sleep staging model based on single channel electroencephalogram signal].
Haowei Zhang, Zhe Xu, Chengmei Yuan, et al.
PubMed (2023) Vol. 40, Iss. 3, pp. 458-464
Closed Access
Technologies to Assess Psycho-Behavioural Symptoms
Kirsten Emmert, Walter Maetzler
Practical issues in geriatrics (2023), pp. 99-116
Closed Access
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