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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 life-time risk prediction of Alzheimer’s disease: a systematic review
Thomas W Rowe, Ioanna Katzourou, Joshua Stevenson‐Hoare, et al.
Brain Communications (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 22

Showing 22 citing articles:

The Alzheimer's Disease Neuroimaging Initiative in the era of Alzheimer's disease treatment: A review of ADNI studies from 2021 to 2022
Dallas P. Veitch, Michael W. Weiner, Melanie J. Miller, et al.
Alzheimer s & Dementia (2023) Vol. 20, Iss. 1, pp. 652-694
Open Access | Times Cited: 35
Harnessing the potential of machine learning and artificial intelligence for dementia research
Janice M. Ranson, Magda Bucholc, Donald M. Lyall, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 16
Deep learning based computer aided diagnosis of Alzheimer’s disease: a snapshot of last 5 years, gaps, and future directions
Anish Bhandarkar, Pratham Naik, Kavita Vakkund, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 7
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
The role of machine learning in discovering biomarkers and predicting treatment strategies for neurodegenerative diseases: A narrative review
Abdullahi Tunde Aborode, Ogunware Adedayo Emmanuel, Isreal Ayobami Onifade, et al.
NeuroMarkers. (2025) Vol. 2, Iss. 1, pp. 100034-100034
Open Access
Transforming Neurodegenerative Disorder Care with Machine Learning: Strategies and Applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
(2025)
Closed Access
Transforming neurodegenerative disorder care with machine learning: Strategies and applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
Neuroscience (2025)
Closed Access
Development of a k-Nearest Neighbors Model for the Prediction of Late-Onset Alzheimer’s Risk by Combining Polygenic Risk Scores and Phenotypic Variables
Santiago Fernando Suárez López, Rosana Ferrero, Jorge Blom-Dahl, et al.
Genes (2025) Vol. 16, Iss. 4, pp. 377-377
Open Access
Machine Learning Approaches and Applications in Genome Wide Association Study for Alzheimer’s Disease: A Systematic Review
Abbas Saad Alatrany, Abir Hussain, Jamila Mustafina, et al.
IEEE Access (2022) Vol. 10, pp. 62831-62847
Open Access | Times Cited: 15
A Systematic Review of Genetics- and Molecular-Pathway-Based Machine Learning Models for Neurological Disorder Diagnosis
Nasser Ali Aljarallah, Ashit Kumar Dutta, Abdul Rahaman Wahab Sait
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 12, pp. 6422-6422
Open Access | Times Cited: 2
A Review of Alzheimer’s Disease Identification by Machine Learning
R. P. Harshini, R. Thangarajan
Springer series in reliability engineering (2024), pp. 203-211
Closed Access | Times Cited: 1
Alzheimer's Diagnosis
V. Harshini, S. M. Sweatha, Senthil Shunmugam K., et al.
Advances in medical technologies and clinical practice book series (2024), pp. 54-100
Closed Access | Times Cited: 1
The association between genetic variations and morphology‐based brain networks changes in Alzheimer's disease
Weixue Xiong, Jiahui Cai, Bo Sun, et al.
Journal of Neurochemistry (2023) Vol. 168, Iss. 8, pp. 1490-1502
Closed Access | Times Cited: 2
AI-powered neural implants
N. A. Sudharson, M. Joseph, N. Kurian, et al.
BDJ (2023) Vol. 234, Iss. 6, pp. 359-360
Open Access | Times Cited: 2
Systematic Reviews of Machine Learning in Healthcare: A Literature Review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Evaluating the Classification Accuracy of Expression Quantitative Trait Loci Calculated Polygenic Risk Scores in Alzheimer’s Disease
Keeley J. Brookes
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 16, pp. 12799-12799
Open Access | Times Cited: 2
Identification of Alzheimer’s Disease Hub Genes Based on Improved HITS Algorithm
Qusay Kanaan Kadhim, Rasha Mahdi Abd ul kader, Atyaf Al-Tameemi, et al.
Journal of Kufa for Mathematics and Computer (2024) Vol. 11, Iss. 1, pp. 25-31
Open Access
Assessment of Lifetime Risk for Cardiovascular Disease: Time to Move Forward
Evangelia G. Sigala, Demosthenes B. Panagiotakos
Current Cardiology Reviews (2024) Vol. 20, Iss. 6
Closed Access
Comparing the Artificial Intelligence Detection Models to Standard Diagnostic Methods and Alternative Models in Identifying Alzheimer’s Disease in At-Risk or Early Symptomatic Individuals: A Scoping Review
B. Surendra Babu, Gauri Parvathy, Fathima S Mohideen Bawa, et al.
Cureus (2024)
Open Access
Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach
Zhaoyi Chen, Yuchen Yang, Dazheng Zhang, et al.
Informatics (2023) Vol. 10, Iss. 2, pp. 46-46
Open Access | Times Cited: 1
Inter-Hospital Advanced and Mild Alzheimer’s Disease Classification Based on Electroencephalogram Measurements via Classical Machine Learning Algorithms
Alfonso Parreño Torres, Carlos Roncero-Parra, Alejandro L. Borja, et al.
Journal of Alzheimer s Disease (2023) Vol. 95, Iss. 4, pp. 1667-1683
Closed Access | Times Cited: 1
Review on Computer Aided System Approach for Predictive Diagnosis of Neurological Disease
Ku. R. S. Dhote, Prof. A. P. Thakare
International Journal of Advanced Research in Science Communication and Technology (2022), pp. 160-164
Open Access
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