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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:

Machine learning for the prediction of cognitive impairment in older adults
Wanyue Li, Li Zeng, Shiqi Yuan, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 10

Showing 10 citing articles:

Metabolic score for insulin resistance (METS-IR) predicts all-cause and cardiovascular mortality in the general population: evidence from NHANES 2001–2018
Mingxuan Duan, Xi Zhao, Shaolin Li, et al.
Cardiovascular Diabetology (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 27
Advanced Assessment of Oxidative Stress and Inflammation in Military Personnel: Development of a Novel IIRPM Score Using Artificial Intelligence
Florina-Diana Mihai, E Traşcă, P Rădulescu, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 832-832
Open Access
Evaluation of a multimodal diagnostic algorithm for prediction of cognitive impairment in elderly patients with dizziness
K. Felfela, N. Jooshani, K. Möhwald, et al.
Journal of Neurology (2024) Vol. 271, Iss. 7, pp. 4485-4494
Open Access | Times Cited: 4
Machine learning models to predict 6-month mortality risk in home-based hospice patients with advanced cancer
Wan Cheng, Jianwei Zheng, Yuanfeng Lu, et al.
Asia-Pacific Journal of Oncology Nursing (2025) Vol. 12, pp. 100679-100679
Open Access
Explainable AI and transformer models: Unraveling the nutritional influences on Alzheimer's disease mortality
Ziming Liu, Longjian Liu, R. Eric Heidel, et al.
Smart Health (2024) Vol. 32, pp. 100478-100478
Open Access | Times Cited: 2
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
Cognitive Dysfunction Prediction Model with Lifelog Dataset based on Random Forest and SHAP
Myeongjin Lee, Jongun Lee, Hanjun Lee
The Journal of Korean Institute of Information Technology (2024) Vol. 22, Iss. 1, pp. 1-8
Closed Access
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
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
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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