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:

Long-term trajectories of depressive symptoms and machine learning techniques for fall prediction in older adults: Evidence from the China Health and Retirement Longitudinal Study (CHARLS)
Xiaodong Chen, Shaowu Lin, Yixuan Zheng, et al.
Archives of Gerontology and Geriatrics (2023) Vol. 111, pp. 105012-105012
Closed Access | Times Cited: 8

Showing 8 citing articles:

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

Artificial Intelligence in Healthcare: Fall Risk Assessment in Older Adults Using Machine Learning Techniques
Gökçe Özden, Hakan Gokdas, Ebru Turan Kızıldoğan
Journal of Polytechnic (2025), pp. 1-1
Open Access | Times Cited: 1

Machine learning algorithms to predict depression in older adults in China: a cross-sectional study
Yongping Song, Chen Lin, Haoqiang Liu, et al.
Frontiers in Public Health (2025) Vol. 12
Open Access

Skip or not: Hybrid machine learning for decision support in strategic port-skipping behavior to enhance liner shipping reliability
Xingcan Fan, Jing Lyu, Lingye Zhang, et al.
Ocean Engineering (2025) Vol. 324, pp. 120730-120730
Closed Access

Association between changes in depressive symptoms and falls: The China health and retirement longitudinal study (CHARLS)
Jianing Song, Xinze Wu, Yajie Zhang, et al.
Journal of Affective Disorders (2023) Vol. 341, pp. 393-400
Closed Access | Times Cited: 8

Exploring Key Factors Influencing Depressive Symptoms Among Middle-aged and Elderly Adult Population: A Machine Learning-based Method
Thu Tran, Yi Zhen Tan, Sapphire H. Lin, et al.
Archives of Gerontology and Geriatrics (2024) Vol. 129, pp. 105647-105647
Closed Access | Times Cited: 1

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