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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 predicting neurodegenerative diseases in the general older population: a cohort study
Gloria Aguayo, Lu Zhang, Michel Vaillant, et al.
BMC Medical Research Methodology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13

Showing 13 citing articles:

Fundamentals of Deep Learning
P. V. Chandrika, Sandeep Madhusudhan Kelkar
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 1-24
Closed Access | Times Cited: 83
Computation of the distribution of model accuracy statistics in machine learning: Comparison between analytically derived distributions and simulation‐based methods
Alexander A. Huang, Samuel Y. Huang
Health Science Reports (2023) Vol. 6, Iss. 4
Open Access | Times Cited: 22
AD-Diff: enhancing Alzheimer's disease prediction accuracy through multimodal fusion
Lei Han
Frontiers in Computational Neuroscience (2025) Vol. 19
Open Access
A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry
Jaleh Bagheri Hamzyan Olia, Arasu Raman, Chou‐Yi Hsu, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109984-109984
Closed Access
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
Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms
P. Visvanathan, P. M. Durai Raj Vincent
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 2
Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study
Gloria Aguayo, Lu Zhang, Michel Vaillant, et al.
BMC Medical Research Methodology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 2
Innovative Elemental Packaging Design Based on Machine Vision Cognition
L Zhang
Deleted Journal (2024) Vol. 19, Iss. 4, pp. 34-48
Open Access
Algorithm of Mental Model of Art Design Based on Virtual Reality Technology
Et al. Wenwen Li
Deleted Journal (2024) Vol. 20, Iss. 1, pp. 247-261
Open Access
Ethical Considerations and Challenges in Neurodegenerative Diseases Using Machine Learning
Moushumi Das, Hitakshi Hitakshi, Vandana Mohindru, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 234-256
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
Impact of Family Function on the Quality of Life and Health Perception of Non-Institutionalized Dementia Patients
Laura Cubero-Plazas, David Sancho-Cantus, José Enrique de la Rubia Ortí, et al.
Journal of Alzheimer s Disease (2023) Vol. 94, Iss. 3, pp. 963-975
Open Access | Times Cited: 1
Relationship between eating problems and the risk of dementia: A retrospective study
Weiyi Sun, Teruyuki Matsuoka, Ayu Imai, et al.
Psychogeriatrics (2023) Vol. 23, Iss. 6, pp. 1043-1050
Closed Access | Times Cited: 1
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