Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 EEG analysis utilizing inter-channel covariance matrices
Gopika Gopan K, Sathvik S. Prabhu, Neelam Sinha
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 1, pp. 527-545
Closed Access | Times Cited: 21

Showing 21 citing articles:

Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals
Radek Martínek, Martina Ládrová, Michaela Šidiková, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5186-5186
Open Access | Times Cited: 51
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: 21
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-Based Sleep Staging Analysis with Functional Connectivity
Hui Huang, Jianhai Zhang, Li Zhu, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 1988-1988
Open Access | Times Cited: 35
Automated Sleep Stage Scoring Using Time-Frequency Spectra Convolution Neural Network
Pankaj Jadhav, Siddhartha Mukhopadhyay
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-9
Closed Access | Times Cited: 26
Automated detection of driver fatigue from electroencephalography through wavelet-based connectivity
Amirmasoud Ahmadi, Hanieh Bazregarzadeh, Kamran Kazemi
Journal of Applied Biomedicine (2020) Vol. 41, Iss. 1, pp. 316-332
Closed Access | Times Cited: 33
Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals
Radek Martínek, Martina Ládrová, Michaela Šidiková, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6343-6343
Open Access | Times Cited: 30
Reliable sleep staging of unseen subjects with fusion of multiple EEG features and RUSBoost
Ritika Jain, A. G. Ramakrishnan
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103061-103061
Closed Access | Times Cited: 29
An investigation of the multi-dimensional (1D vs. 2D vs. 3D) analyses of EEG signals using traditional methods and deep learning-based methods
Darshil Shah, Gopika Gopan K, Neelam Sinha
Frontiers in Signal Processing (2022) Vol. 2
Open Access | Times Cited: 16
Multivariate phase space reconstruction and Riemannian manifold for sleep stage classification
Xueling Zhou, Bingo Wing‐Kuen Ling, Waqar Ahmed, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105572-105572
Closed Access | Times Cited: 9
Attention deficit hyperactivity disorder recognition based on intrinsic time-scale decomposition of EEG signals
Özlem Karabiber Cura, Sibel Kocaaslan Atlı, Aydın Akan
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104512-104512
Closed Access | Times Cited: 10
Spatial Feature Integration in Multidimensional Electromyography Analysis for Hand Gesture Recognition
Wensheng Chen, Yinxi Niu, Zhenhua Gan, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13332-13332
Open Access | Times Cited: 4
Binary State Prediction of Sleep or Wakefulness Using EEG and EOG Features
A. G. Ramakrishnan, Ritika Jain
2021 IEEE 18th India Council International Conference (INDICON) (2020) Vol. 1, pp. 1-7
Closed Access | Times Cited: 11
Sleep-awake Classification using EEG Band-power-ratios and Complexity Measures
A. G. Ramakrishnan, Ritika Jain
2021 IEEE 18th India Council International Conference (INDICON) (2020), pp. 1-6
Closed Access | Times Cited: 8
Analysis of Mild Cognitive Impairment Utilizing Covariance Matrices of Brain Regions
R Ammu, Neelam Sinha
(2023), pp. 1-6
Closed Access | Times Cited: 2
Characterization of Meditation EEG based on Consistency of Covariance Matrices over Time
A. G. Ramakrishnan, Pradeep G. Kumar, Kanishka Sharma
2021 IEEE 18th India Council International Conference (INDICON) (2020) Vol. 56, pp. 1-6
Closed Access | Times Cited: 4
A Hierarchical Neural Network on Riemannian Manifold and Convolutional Neural Network for Sleep Stage Classification
Xueling Zhou, Yingchun Guo, Jiaqi Liu, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2024), pp. 1-6
Closed Access
Machine Learning Model for Automated Sleep Scoring Based on Single-Channel EEG Signal Data
Santosh Kumar Satapathy, Hari Kishan Kondaveeti
Lecture notes on data engineering and communications technologies (2022), pp. 377-386
Closed Access | Times Cited: 1
Automatic sleep stage classification using physiological signals acquired by Dreem headband
Shahla Bakian Dogaheh, Mohammad Hassan Moradi
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Detection of Attention Deficit Hyperactivity Disorder using Decision-level Fusion of Brain Connectivity Information Based on Deep Learning
Özlem Karabiber Cura, Fatma Günseli Yaşar Çıklaçandır, Aydın Akan, et al.
2020 Medical Technologies Congress (TIPTEKNO) (2023), pp. 1-4
Closed Access
Inter-channel Covariance Matrices Based Analyses of EEG Baselines
Gopika Gopan K, Neelam Sinha, Dinesh Babu J
2021 29th European Signal Processing Conference (EUSIPCO) (2022), pp. 1303-1307
Closed Access
Page 1

Scroll to top