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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:

Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach
Ayako Baba, Kyosuke Bunji
JMIR Mental Health (2022) Vol. 10, pp. e42420-e42420
Open Access | Times Cited: 15

Showing 15 citing articles:

Stacking ensemble learning model for predict anxiety level in university students using balancing methods
Alfredo Daza Vergaray, Antonio Arroyo-Paz, Juana Bobadilla Cornelio, et al.
Informatics in Medicine Unlocked (2023) Vol. 42, pp. 101340-101340
Open Access | Times Cited: 16
Evaluating Machine Learning Stability in Predicting Depression and Anxiety Amidst Subjective Response Errors
Wai Lim Ku, Hua Min
Healthcare (2024) Vol. 12, Iss. 6, pp. 625-625
Open Access | Times Cited: 4
Evaluating NLP Models for Mental Health
Vishnu Achutha Menon, T. K. Sateesh Kumar, Lijo P. Thomas, et al.
IGI Global eBooks (2025), pp. 67-86
Closed Access
Anticipating interpersonal sensitivity: A predictive model for early intervention in psychological disorders in college students
Min Zhang, Kailei Yan, Yufeng Chen, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108134-108134
Closed Access | Times Cited: 2
Classification of Student Mental Health Analysis using Logistic Regression and other classification techniques through Machine Learning Methods
Nishant Pritam, Kanwarpartap Singh Gill, Mukesh Kumar, et al.
(2024)
Closed Access | Times Cited: 2
Student Mental Health Risk Prediction Based on Apriori Algorithm in the Context of Big Data
Jiao Chen
(2024), pp. 615-618
Closed Access | Times Cited: 2
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
Unraveling the inner world of PhD scholars with sentiment analysis for mental health prognosis
Rimsha Noreen, Amna Zafar, Talha Waheed, et al.
Behaviour and Information Technology (2023), pp. 1-13
Closed Access | Times Cited: 4
Exploring the relationship between response time sequence in scale answering process and severity of insomnia: A machine learning approach
Zhao Su, Rongxun Liu, Keyin Zhou, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33485-e33485
Open Access | Times Cited: 1
An Efficient Deep Learning Model Using Harris-Hawk Optimizer for Prognostication of Mental Health Disorders
Vandana, Shilpa Srivastava, Nidhi Arora, et al.
International Research Journal of Multidisciplinary Technovation (2024), pp. 106-123
Open Access | Times Cited: 1
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 | Times Cited: 1
Machine learning-enabled mental health risk prediction for youths with stressful life events: A modelling study
Hexiao Ding, Na Li, Lishan Li, et al.
Journal of Affective Disorders (2024)
Closed Access | Times Cited: 1
Decoding Minds: Estimation of Stress Level in Students using Machine Learning
Salma S. Shahapur, Praveen Chitti, Shahak Patil, et al.
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 19, pp. 2002-2012
Open Access
Stress Detection among Higher Education Students: A Comprehensive Systematic Review of Machine Learning Approaches
Enrique Macías Arias, Jorge Parraga-Alava, David Zambrano Montenegro
(2024), pp. 1-8
Closed Access
Examining the interplay between mental health indicators and quality of life measures among first-year law students: a cross-sectional study
Raul Ioan Muntean, Vаlentinа Ștefănică, Daniel Roșu, et al.
PeerJ (2024) Vol. 12, pp. e18245-e18245
Open Access
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