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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:

Interpretable machine learning for dementia: A systematic review
Sophie Martin, Florence J. Townend, Frederik Barkhof, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 5, pp. 2135-2149
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

AI-based differential diagnosis of dementia etiologies on multimodal data
Chonghua Xue, Sahana S. Kowshik, Diala Lteif, et al.
Nature Medicine (2024) Vol. 30, Iss. 10, pp. 2977-2989
Open Access | Times Cited: 19
A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
Ikram Bazarbekov, Abdul Razaque, Madina Ipalakova, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106023-106023
Closed Access | Times Cited: 18
Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Huchang Liao, Yangpeipei He, Xueyao Wu, et al.
Information Fusion (2023) Vol. 100, pp. 101970-101970
Closed Access | Times Cited: 36
Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting
Matthew Leming, Esther E. Bron, Rose Bruffaerts, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
Healthy aging meta-analyses and scoping review of risk factors across Latin America reveal large heterogeneity and weak predictive models
Agustín Ibáñez, Marcelo Maito, Felipe Botero‐Rodríguez, et al.
Nature Aging (2024) Vol. 4, Iss. 8, pp. 1153-1165
Open Access | Times Cited: 11
Machine learning for predicting urban greenhouse gas emissions: A systematic literature review
Yukai Jin, Ayyoob Sharifi
Renewable and Sustainable Energy Reviews (2025) Vol. 215, pp. 115625-115625
Open Access | Times Cited: 1
Interpretable machine learning for predicting chronic kidney disease progression risk
Jinxin Zheng, Xin Li, Jiang Zhu, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 7
Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer’s Disease: A Comprehensive Review
Ghazala Hcini, Imen Jdey, Habib Dhahri
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access | Times Cited: 7
Interpretable machine learning framework to predict gout associated with dietary fiber and triglyceride-glucose index
Shunshun Cao, Yangyang Hu
Nutrition & Metabolism (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 7
Artificial intelligence for dementia research methods optimization
Magda Bucholc, Charlotte James, Ahmad Al Khleifat, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5934-5951
Open Access | Times Cited: 15
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
Kun Zhao, Pindong Chen, Aaron Alexander‐Bloch, et al.
EClinicalMedicine (2023) Vol. 65, pp. 102276-102276
Open Access | Times Cited: 15
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence
Esten H. Leonardsen, Karin Persson, Edvard Grødem, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5
Explainable artificial intelligence for neuroimaging-based dementia diagnosis and prognosis
Sophie Martin, An Zhao, Jiongqi Qu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction—A Study Protocol
Hanna-Maria Dragoș, Adina Stan, Livia Livinț Popa, et al.
Life (2025) Vol. 15, Iss. 1, pp. 131-131
Open Access
Estimation of machine learning-based models to predict dementia risk in patients with atherosclerotic cardiovascular diseases: a UK Biobank study (Preprint)
Z. N. Gu, Shuang Liu, Huijuan Ma, et al.
JMIR Aging (2025) Vol. 8, pp. e64148-e64148
Open Access
Boostering diagnosis of frontotemporal lobar degeneration with AI-driven neuroimaging – A systematic review and meta-analysis
Qiong Wu, Dimitra Kiakou, Karsten Mueller, et al.
NeuroImage Clinical (2025), pp. 103757-103757
Open Access
Cognitive performance classification of older patients using machine learning and electronic medical records
M. Richter, Ewelina Sobotnicka, Adam Bednorz
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Mapping Cognitive Aging Trajectories: A Partitioning Around Medoids Analysis of Neuropsychological Test Data from the Canadian Longitudinal Study of Aging
Arian Aminoleslami, David Naylor, Kuan Liu, et al.
(2025)
Closed Access
An Integrated Strategy for Interpretable Fault Diagnosis of UAV EHA DC Drive Circuits Under Early Fault and Imbalanced Data Conditions
Yang Li, Zhen Jia, Jie Liu, et al.
Drones (2025) Vol. 9, Iss. 3, pp. 189-189
Open Access
A comprehensive interpretable machine learning framework for mild cognitive impairment and Alzheimer’s disease diagnosis
Maria Eleftheria Vlontzou, Μαρία Αθανασίου, Kalliopi Dalakleidi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Use machine learning to predict treatment outcome of early childhood caries
Yafei Wu, Maoni Jia, Ya Fang, et al.
BMC Oral Health (2025) Vol. 25, Iss. 1
Open Access
Exploring Mechanisms and Biomarkers of Breast Cancer Invasion and Migration: An Explainable Gene–Pathway–Compounds Neural Network
Xia Qian, Dandan Sun, Yichen Ma, et al.
Cancer Medicine (2025) Vol. 14, Iss. 6
Open Access
Development and validation of a convenient dementia risk prediction tool for diabetic population: A large and longitudinal machine learning cohort study
Pei Yang, Xuan Xiao, Yihui Li, et al.
Journal of Affective Disorders (2025) Vol. 380, pp. 298-307
Closed Access
Enhancing Alzheimer’s Disease Detection: An Explainable Machine Learning Approach with Ensemble Techniques
Eram Mahamud, Md Assaduzzaman, Jahirul Islam, et al.
Intelligence-Based Medicine (2025), pp. 100240-100240
Open Access
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