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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:

Temporal Feature Extraction and Machine Learning for Classification of Sleep Stages Using Telemetry Polysomnography
Utkarsh Lal, M Suhas, Anitha Hoblidar
Brain Sciences (2023) Vol. 13, Iss. 8, pp. 1201-1201
Open Access | Times Cited: 13

Showing 13 citing articles:

Single-Channel EEG Data Analysis Using a Multi-Branch CNN for Neonatal Sleep Staging
Hafza Ayesha Siddiqa, Zhenning Tang, Yan Xu, et al.
IEEE Access (2024) Vol. 12, pp. 29910-29925
Open Access | Times Cited: 7
A review of automated sleep stage based on EEG signals
Xiaoli Zhang, Xizhen Zhang, Qiong Huang, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 651-673
Closed Access | Times Cited: 7
EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification
Hafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, A.A. Khurshid, et al.
Frontiers in Computational Neuroscience (2025) Vol. 19
Open Access
Machine learning classifier solving the problem of sleep stage imbalance between overnight sleep
Chanwoo Park, Jung‐Ick Byun, Sang Ho Choi, et al.
Biomedical Engineering Letters (2025)
Closed Access
Construction and validation of a predictive model for sleep disorders among pregnant women
Deguang Yang, Ye Li, Jing Jia, et al.
BMC Pregnancy and Childbirth (2025) Vol. 25, Iss. 1
Open Access
Insomnia Forecasting using Cutting-Edge Deep Learning Techniques
Pritha Singha Roy, Vinay Kukreja, Nisha Chandran S, et al.
(2024), pp. 60-64
Closed Access | Times Cited: 1
Exploring Sleep Paralysis Phenomenon Through Machine Learning: An Analytical Study
Samra Ishaq, Attique Ur Rehman, Tahir Muhammad Ali, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Self-supervised deep learning and EEG categorization
Mats Svantesson
Linköping University medical dissertations (2024)
Open Access
Sleep stages detection based on analysis and optimisation of non-linear brain signal parameters
Abdeljalil El Hadiri, Lhoussain Bahatti, Abdelmounime El Magri, et al.
Results in Engineering (2024) Vol. 23, pp. 102664-102664
Open Access
Enhanced Security in Medical Imaging: A Novel Watermarking and Compression Approach
Adiyah Mahiruna
Journal of Intelligent Computing & Health Informatics (2024) Vol. 5, Iss. 1, pp. 1-1
Open Access
Machine learning insights on activities of daily living disorders in Chinese older adults
Huanting Zhang, Wenhao Zhou, Jianan He, et al.
Experimental Gerontology (2024) Vol. 198, pp. 112641-112641
Open Access
Comparative Analysis of Single-Channel and Multi-Channel Classification of Sleep Stages Across Four Different Data Sets
Xingjian Zhang, Gewen He, Ty Shang, et al.
Brain Sciences (2024) Vol. 14, Iss. 12, pp. 1201-1201
Open Access
Comparison analysis between standard polysomnographic data and in-ear-EEG signals:A preliminary study
Gianpaolo Palo, Luigi Fiorillo, Giuliana Monachino, et al.
SLEEP Advances (2024) Vol. 5, Iss. 1
Open Access
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