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:
Machine learning approach for anxiety and sleep disorders analysis during COVID-19 lockdown
L. Jani Anbarasi, Malathy Jawahar, Vinayakumar Ravi, et al.
Health and Technology (2022) Vol. 12, Iss. 4, pp. 825-838
Open Access | Times Cited: 13
L. Jani Anbarasi, Malathy Jawahar, Vinayakumar Ravi, et al.
Health and Technology (2022) Vol. 12, Iss. 4, pp. 825-838
Open Access | Times Cited: 13
Showing 13 citing articles:
Detection and classification of anxiety in university students through the application of machine learning
Shaurya Bhatnagar, Jyoti Agarwal, Ojasvi Rajeev Sharma
Procedia Computer Science (2023) Vol. 218, pp. 1542-1550
Open Access | Times Cited: 28
Shaurya Bhatnagar, Jyoti Agarwal, Ojasvi Rajeev Sharma
Procedia Computer Science (2023) Vol. 218, pp. 1542-1550
Open Access | Times Cited: 28
An Artificial Intelligence Platform to Stratify the Risk of Experiencing Sleep Disturbance in University Students After Analyzing Psychological Health, Lifestyle, and Sports: A Multicenter Externally Validated Study
Zhang Li-rong, Shaocong Zhao, Zhongbing Yang, et al.
Psychology Research and Behavior Management (2024) Vol. Volume 17, pp. 1057-1071
Open Access | Times Cited: 3
Zhang Li-rong, Shaocong Zhao, Zhongbing Yang, et al.
Psychology Research and Behavior Management (2024) Vol. Volume 17, pp. 1057-1071
Open Access | Times Cited: 3
Systematic review of machine learning techniques to predict anxiety and stress in college students
Alfredo Daza Vergaray, Nemías Saboya, Jorge Isaac Necochea-Chamorro, et al.
Informatics in Medicine Unlocked (2023) Vol. 43, pp. 101391-101391
Open Access | Times Cited: 6
Alfredo Daza Vergaray, Nemías Saboya, Jorge Isaac Necochea-Chamorro, et al.
Informatics in Medicine Unlocked (2023) Vol. 43, pp. 101391-101391
Open Access | Times Cited: 6
Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 27-27
Open Access | Times Cited: 2
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 27-27
Open Access | Times Cited: 2
Insomnia, Sleep Apnea, Serenity: Unveiling Sleep Disorders with Machine Learning
Prasun Payne, Vinayak Singh, Mahendra Kumar Gourisaria, et al.
(2024), pp. 1603-1609
Closed Access
Prasun Payne, Vinayak Singh, Mahendra Kumar Gourisaria, et al.
(2024), pp. 1603-1609
Closed Access
Predicting Sleep Disorders for Improved Health Care—A Comprehensive Study
Udayasri Kompalli, Tayyeba Kiran, Gandham Mani Saketh, et al.
Lecture notes in networks and systems (2024), pp. 269-284
Closed Access
Udayasri Kompalli, Tayyeba Kiran, Gandham Mani Saketh, et al.
Lecture notes in networks and systems (2024), pp. 269-284
Closed Access
COVID-19 Mental Health Impact Analysis using Ensemble-based Classifier
Beulah Jayakumari R, Malathy Jawahar, Maya Eapen, et al.
The Open Public Health Journal (2024) Vol. 17, Iss. 1
Open Access
Beulah Jayakumari R, Malathy Jawahar, Maya Eapen, et al.
The Open Public Health Journal (2024) Vol. 17, Iss. 1
Open Access
An artificial intelligence tool to assess the risk of severe mental distress among college students in terms of demographics, eating habits, lifestyles, and sport habits: an externally validated study using machine learning
Lirong Zhang, Shaocong Zhao, Zhongbing Yang, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access
Lirong Zhang, Shaocong Zhao, Zhongbing Yang, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access
Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi, et al.
(2023)
Open Access | Times Cited: 1
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi, et al.
(2023)
Open Access | Times Cited: 1
Evaluation of sleep stage classification using feature importance of EEG signal for big data healthcare
Mera Kartika Delimayanti, Mauldy Laya, Anggi Mardiyono, et al.
International Journal of Advances in Intelligent Informatics (2023) Vol. 9, Iss. 3, pp. 418-418
Open Access
Mera Kartika Delimayanti, Mauldy Laya, Anggi Mardiyono, et al.
International Journal of Advances in Intelligent Informatics (2023) Vol. 9, Iss. 3, pp. 418-418
Open Access
Using a Classifier Ensemble for Preventing Burnout in University Students: A Study Case in Valparaíso
Larraín Gonzalo, Nicolás Rojas-Morales, Gonzalez Nicolás, et al.
IEEE Access (2023) Vol. 11, pp. 116235-116254
Open Access
Larraín Gonzalo, Nicolás Rojas-Morales, Gonzalez Nicolás, et al.
IEEE Access (2023) Vol. 11, pp. 116235-116254
Open Access
Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi, et al.
(2023)
Open Access
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi, et al.
(2023)
Open Access
Machine Learning Approches for Prediction of Mental Health Issues in Adolescents: A Comparative Survey
K.M. Haroon, Sidra Minhas, Nosheen Sabahat, et al.
VFAST Transactions on Software Engineering (2023) Vol. 11, Iss. 1, pp. 37-50
Open Access
K.M. Haroon, Sidra Minhas, Nosheen Sabahat, et al.
VFAST Transactions on Software Engineering (2023) Vol. 11, Iss. 1, pp. 37-50
Open Access
