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:

A machine learning analysis of risk and protective factors of suicidal thoughts and behaviors in college students
Namik Kirlić, Elisabeth Akeman, Danielle C. DeVille, et al.
Journal of American College Health (2021) Vol. 71, Iss. 6, pp. 1863-1872
Open Access | Times Cited: 12

Showing 12 citing articles:

Influencing factors, prediction and prevention of depression in college students: A literature review
Xinqiao Liu, Yu-Xin Guo, Wenjie Zhang, et al.
World Journal of Psychiatry (2022) Vol. 12, Iss. 7, pp. 860-873
Open Access | Times Cited: 85

Suicidal behaviour prediction models using machine learning techniques: A systematic review
Noratikah Nordin, Zurinahni Zainol, Mohd Halim Mohd Noor, et al.
Artificial Intelligence in Medicine (2022) Vol. 132, pp. 102395-102395
Closed Access | Times Cited: 36

Machine Learning Techniques to Predict Mental Health Diagnoses: A Systematic Literature Review
Ujunwa Madububambachu, Augustine Ukpebor, U.H. Ihezue
Clinical Practice and Epidemiology in Mental Health (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 6

Revisión sistemática sobre los factores de riesgo y protección asociados a la ideación suicida en estudiantes universitarios
Yury Estefanía Perdomo Jurado, Diana Jiménez Giraldo, Yesenia Jaramillo Pérez
Revista Salud Bosque (2025) Vol. 14, Iss. 2, pp. 1-16
Open Access

Predicting inmate suicidal behavior with an interpretable ensemble machine learning approach in smart prisons
Khayyam Akhtar, Muhammad Usman Yaseen, Muhammad Imran, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2051-e2051
Open Access | Times Cited: 2

Automatically extracting social determinants of health for suicide: a narrative literature review
Annika Marie Schoene, Suzanne Garverich, Iman Ibrahim, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1

Sentiment Analysis Study of Human Thoughts using Machine Learning Techniques
Jitendra Singh, Geeta Sharma
(2023)
Closed Access | Times Cited: 3

Using recursive partitioning to predict presence and severity of suicidal ideation amongst college students
Matison W. McCool, Frank J. Schwebel, Matthew R. Pearson, et al.
Journal of American College Health (2024), pp. 1-11
Closed Access

Leveraging Global Suicide Statistics for Insightful Prevention Strategies: A Comprehensive Analysis
Eugenia Arrieta Rodríguez, Guillermo Carlos Hernández Hernández, Leidy Haidy Perez Coronell, et al.
Lecture notes in computer science (2024), pp. 301-318
Closed Access

Suicidal Behavior Prevalence and Sociodemographic Determinants Among Delhi College Students: Findings from a Cross-Sectional Study
Vijay Kumar Gangipogu, Vineet Chaudhary, Kallur Nava Saraswathy, et al.
Indian Journal of Social Psychiatry (2023) Vol. 40, Iss. 1, pp. 90-95
Open Access | Times Cited: 1

Suicidal Ideation Prediction Using Machine Learning
Anson Benny, V S Aarsha, A Saad Subair, et al.
(2023), pp. 772-776
Closed Access | Times Cited: 1

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