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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:

Classifying Multi-Level Stress Responses From Brain Cortical EEG in Nurses and Non-Health Professionals Using Machine Learning Auto Encoder
Ashlesha Akella, Avinash Kumar Singh, Daniel J. Leong, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2021) Vol. 9, pp. 1-9
Open Access | Times Cited: 19

Showing 19 citing articles:

Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation
Mohammad Ashraf Ottom, Hanif Abdul Rahman, Ivo D. Dinov
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-8
Open Access | Times Cited: 90
Applications of artificial intelligence−machine learning for detection of stress: a critical overview
Alexios‐Fotios A. Mentis, Donghoon Lee, Panos Roussos
Molecular Psychiatry (2023) Vol. 29, Iss. 6, pp. 1882-1894
Closed Access | Times Cited: 35
Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review (Preprint)
Moein Razavi, Samira Ziyadidegan, Ahmadreza Mahmoudzadeh, et al.
JMIR Mental Health (2024) Vol. 11, pp. e53714-e53714
Open Access | Times Cited: 5
ECG and EEG based detection and multilevel classification of stress using machine learning for specified genders: A preliminary study
Apit Hemakom, Danita Atiwiwat, Pasin Israsena
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291070-e0291070
Open Access | Times Cited: 12
Stress Detection Based on EEG Values: A Systematic Literature Review
Yeddula Yashaswini, T. G. Sinchana, B. Nikitha, et al.
Communications in computer and information science (2025), pp. 319-331
Closed Access
Green EEG energy control robot for supporting bedfast patients
Chutiwan Boonarchatong, Mahasak Ketcham
Energy Reports (2023) Vol. 9, pp. 4493-4506
Open Access | Times Cited: 9
EEG stress classification based on Doppler spectral features for ensemble 1D-CNN with LCL activation function
J. Naren, A. Ramesh Babu
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 4, pp. 102013-102013
Open Access | Times Cited: 3
Automated attention deficit classification system from multimodal physiological signals
Nilima Salankar, Deepika Koundal, Chinmay Chakraborty, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 4, pp. 4897-4912
Closed Access | Times Cited: 15
Machine Learning Algorithms based Detection and Analysis of Stress - A Review
Ravi Raja A, Sistla Jyothirmy, Gottam Geethika, et al.
(2023), pp. 1456-1463
Closed Access | Times Cited: 5
Comparative analysis of dimensionality reduction techniques for EEG-based emotional state classification
Seyed‐Ali Sadegh‐Zadeh, Nasrin Sadeghzadeh, Ommolbanin Soleimani, et al.
American Journal of Neurodegenerative Disease (2024) Vol. 13, Iss. 4, pp. 23-33
Closed Access | Times Cited: 1
Optimal variational mode decomposition based automatic stress classification system using EEG signals
Rajveer Singh Lalawat, Varun Bajaj, Prabin Kumar Padhy
Applied Acoustics (2024) Vol. 231, pp. 110478-110478
Closed Access | Times Cited: 1
An Independent Constructive Multi-class Classification Algorithm for Predicting the Risk Level of Stress Using Multi-modal Data
P. B. Pankajavalli, G. S. Karthick
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 8, pp. 10547-10562
Closed Access | Times Cited: 5
Automated Stress Level Detection for Hospital Nurses: A Single Triaxial Wearable Accelerometer Sensor System Approach
Mohammad Sakib, Syeda Shanaz Pervez
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) (2023), pp. 1-6
Closed Access | Times Cited: 2
A Report: Machine Learning and Its Applications
Ankita, Sonam Mittal, Ishu Sharma, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
KRAFS-ANet: A novel framework for EEG-based stress classification using channel selection and optimized ensemble stacking
Shikha Shikha, Divyashikha Sethia, S. Indu
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review (Preprint)
Moein Razavi, Samira Ziyadidegan, Reza Jahromi, et al.
(2023)
Closed Access | Times Cited: 1
Quantifying Stress Levels in Night-Shift Bus Drivers: An Integrative Approach Utilizing Wearable Sensor Technology and Qualitative Evaluation
Mohammad Sakib, Syeda Shanaz Pervez, M. Mofazzal Hossain
(2023), pp. 1-10
Closed Access | Times Cited: 1
Early Depression Prediction and Estimation with EEG Signals using Machine Learning Algorithm
Uma Rani. K, K. Latha
2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) (2022), pp. 1-5
Closed Access | Times Cited: 1
Arousal valence state analysis using DWT features for monitoring stress levels in young kids
J Anupama, P Cyril, K. Elangovan
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2022), pp. 1507-1518
Closed Access
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