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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:

Using Machine Learning to Predict Cognitive Impairment Among Middle-Aged and Older Chinese: A Longitudinal Study
Haihong Liu, Xiaolei Zhang, Haining Liu, et al.
International Journal of Public Health (2023) Vol. 68
Open Access | Times Cited: 15

Showing 15 citing articles:

Cognitive Disability Prediction & Analysis using Machine Learning Application
R. Kishore Kanna, V. Subha Ramya, Asraa Ahmed Khafel, et al.
(2023), pp. 1359-1364
Closed Access | Times Cited: 21
Development and validation of a cognitive dysfunction risk prediction model for the abdominal obesity population
Chun Lei, Gangjie Wu, Yan Cui, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 6
Application of machine learning in measurement of ageing and geriatric diseases: a systematic review
A. Das, Preeti Dhillon
BMC Geriatrics (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Machine learning for the early prediction of long-term cognitive outcome in autoimmune encephalitis
Yingchi Zhang, Xiaodan Shi, Zhirong Fan, et al.
Journal of Psychosomatic Research (2025) Vol. 190, pp. 112051-112051
Closed Access
Screening tools for subjective cognitive decline and mild cognitive impairment based on task-state prefrontal functional connectivity: a functional near-infrared spectroscopy study
Zhengping Pu, Hongna Huang, Man Li, et al.
NeuroImage (2025), pp. 121130-121130
Open Access
Multimodal Neuroimaging of Obesity: From Structural-Functional Mechanisms to Precision Interventions
Wenhua Liu, Na Li, Dongsheng Tang, et al.
Brain Sciences (2025) Vol. 15, Iss. 5, pp. 446-446
Open Access
Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations
Alexander A. Huang, Samuel Y. Huang
Health Science Reports (2023) Vol. 6, Iss. 10
Open Access | Times Cited: 10
Community screening for dementia among older adults in China: a machine learning-based strategy
Yan Zhang, Jian Xu, Chengqi Zhang, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Predicting mild cognitive impairment among Chinese older adults: a longitudinal study based on long short-term memory networks and machine learning
Yucheng Huang, Zishuo Huang, Qingren Yang, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 5
Early prediction of cognitive impairment in adults aged 20 years and older using Machine learning and biomarkers of heavy metal exposure
Seyed Ali Nabavi, Farima Safari, Mohammad Kashkooli, et al.
Current Research in Toxicology (2024) Vol. 7, pp. 100198-100198
Open Access | Times Cited: 1
Prediction Model for Cognitive Impairment among Disabled Older Adults: A Development and Validation Study
Xiangyu Cui, Xiaoyu Zheng, Yun Lu
Healthcare (2024) Vol. 12, Iss. 10, pp. 1028-1028
Open Access
Prediction of cognitive impairment among Medicare beneficiaries using a machine learning approach
Zongliang Yue, Sara Ismail Jaradat, Jingjing Qian
Archives of Gerontology and Geriatrics (2024) Vol. 128, pp. 105623-105623
Closed Access
Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Validation (Preprint)
Hongxin Gao, Stefan Schneider, Raymond Hernandez, et al.
JMIR Formative Research (2024) Vol. 8, pp. e54335-e54335
Open Access
Predicting progression to dementia using auditory verbal learning test in community-dwelling older adults based on machine learning
Xinyan Xie, Lin-Ya Huang, Dan Liu, et al.
American Journal of Geriatric Psychiatry (2024)
Closed Access
Application of machine learning in measurement of ageing and geriatric diseases: A systematic review
Ayushi Das, Preeti Dhillon
Research Square (Research Square) (2023)
Open Access
Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Mistakes in Questionnaire Responses: Machine Learning Study (Preprint)
Hongxin Gao, Stefan Schneider, Raymond Hernandez, et al.
(2023)
Closed Access
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