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:
Risk prediction models of depression in older adults with chronic diseases
Ying Zheng, Chu Zhang, Yuwen Liu
Journal of Affective Disorders (2024) Vol. 359, pp. 182-188
Open Access | Times Cited: 9
Ying Zheng, Chu Zhang, Yuwen Liu
Journal of Affective Disorders (2024) Vol. 359, pp. 182-188
Open Access | Times Cited: 9
Showing 9 citing articles:
Relationship between social activities and cognitive impairment in Chinese older adults: the mediating effect of depressive symptoms
Qingrui Yang, Shudian Lin, Zhuyun Zhang, et al.
Frontiers in Public Health (2025) Vol. 12
Open Access | Times Cited: 1
Qingrui Yang, Shudian Lin, Zhuyun Zhang, et al.
Frontiers in Public Health (2025) Vol. 12
Open Access | Times Cited: 1
Development and Validation of a Machine Learning-Based Predictive Model for 30-Day All-Cause Mortality in Critically Ill Patients with the FT4/WBC Ratio
Nan Chen, Zhiyuan Lu, Guojian Yang, et al.
(2025)
Closed Access
Nan Chen, Zhiyuan Lu, Guojian Yang, et al.
(2025)
Closed Access
Key modifiable factors in urban-rural differences in depression among older adults in China: A comparative study between China and the United States
Juxiang Yang, Yi Wang, Xi Zheng, et al.
International Psychogeriatrics (2025), pp. 100046-100046
Open Access
Juxiang Yang, Yi Wang, Xi Zheng, et al.
International Psychogeriatrics (2025), pp. 100046-100046
Open Access
A machine-learning-derived online prediction model for depression risk in COPD patients: A retrospective cohort study from CHARLS
Xuanna Zhao, Yunan Wang, Jiahua Li, et al.
Journal of Affective Disorders (2025)
Open Access
Xuanna Zhao, Yunan Wang, Jiahua Li, et al.
Journal of Affective Disorders (2025)
Open Access
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), pp. 105810-105810
Closed Access
Xiao Xu, Haiyan Huang, Shuyun Wang, et al.
Archives of Gerontology and Geriatrics (2025), pp. 105810-105810
Closed Access
Machine learning-based prediction of hearing loss: findings of the US NHANES from 2003 to 2018
Ya-Nan Mi, Pin Sun
Hearing Research (2025), pp. 109252-109252
Closed Access
Ya-Nan Mi, Pin Sun
Hearing Research (2025), pp. 109252-109252
Closed Access
Application of an interpretable machine learning method to predict the risk of death during hospitalization in patients with acute myocardial infarction combined with diabetes mellitus
Zhijun Bu, Siyu Bai, Chan Yang, et al.
Acta Cardiologica (2025), pp. 1-18
Closed Access
Zhijun Bu, Siyu Bai, Chan Yang, et al.
Acta Cardiologica (2025), pp. 1-18
Closed Access
Mediating role of accelerated aging in the association between depression and mortality risk: findings from NHANES
Cheng Xu, Jiani Wang, Zhen Song, et al.
Aging Clinical and Experimental Research (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 1
Cheng Xu, Jiani Wang, Zhen Song, et al.
Aging Clinical and Experimental Research (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 1
Using machine learning to predict the probability of incident 2-year depression in older adults with chronic diseases: a retrospective cohort study
Ying Zheng, Taotao Zhang, Shu Yang, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Ying Zheng, Taotao Zhang, Shu Yang, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
