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:
Using machine learning models to identify the risk of depression in middle-aged and older adults with frequent and infrequent nicotine use: A cross-sectional study
Yuran Qiu, Xiangru Zhu, Xu Ma
Journal of Affective Disorders (2024) Vol. 367, pp. 554-561
Closed Access | Times Cited: 2
Yuran Qiu, Xiangru Zhu, Xu Ma
Journal of Affective Disorders (2024) Vol. 367, pp. 554-561
Closed Access | Times Cited: 2
Showing 2 citing articles:
Comparison of Different Machine Learning Methodologies for Predicting the Non‐Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials
Roberto Goméni, Françoise Bressolle‐Gomeni
Clinical and Translational Science (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Roberto Goméni, Françoise Bressolle‐Gomeni
Clinical and Translational Science (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Interpretable Machine Learning Model for Predicting Depression in Middle-aged and Elderly Chinese Arthritis Patients: A Nationwide Prospective Cohort Study
Xiao Xu, Haiyan Huang, Shuyun Wang, et al.
Archives of Gerontology and Geriatrics (2025) Vol. 134, pp. 105810-105810
Closed Access | Times Cited: 1
Xiao Xu, Haiyan Huang, Shuyun Wang, et al.
Archives of Gerontology and Geriatrics (2025) Vol. 134, pp. 105810-105810
Closed Access | Times Cited: 1
