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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:

Unsupervised Machine Learning to Identify Separable Clinical Alzheimer’s Disease Sub-Populations
Jayant Prakash, Velda Wang, Robert E. Quinn, et al.
Brain Sciences (2021) Vol. 11, Iss. 8, pp. 977-977
Open Access | Times Cited: 12

Showing 12 citing articles:

Deep learning-based classification of healthy aging controls, mild cognitive impairment and Alzheimer’s disease using fusion of MRI-PET imaging
V.P. Subramanyam Rallabandi, Krishnamoorthy Seetharaman
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104312-104312
Closed Access | Times Cited: 46
Drug repurposing for Alzheimer’s disease from 2012–2022—a 10-year literature review
Monika E. Grabowska, Annabelle Huang, Zhexing Wen, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 24
A comprehensive review of predictive analytics models for mental illness using machine learning algorithms
Md. Monirul Islam, Shahriar Hassan, Sharmin Akter, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100350-100350
Open Access | Times Cited: 8
Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer’s Disease
Raghav Tandon, Allan I. Levey, James J. Lah, et al.
Journal of Alzheimer s Disease (2023) Vol. 92, Iss. 2, pp. 411-424
Open Access | Times Cited: 18
An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia
Irfan Al-Hussaini, Brandon White, Armon Varmeziar, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 6, pp. 1788-1788
Open Access | Times Cited: 5
Behavioral Analytics for Predictive Modeling of Mental Health Disorders: A Review of Machine Learning Techniques and Challenges
Prashant Vats, Pravin R. Kshirsagar, Kamal Upreti, et al.
(2025), pp. 376-381
Closed Access
Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0
Anna Kirkpatrick, Chidozie Onyeze, David Kartchner, et al.
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 1, pp. 27-27
Open Access | Times Cited: 12
Regional Clustering Based on Types of Non-Communicable Diseases Using k-Means Algorithm
Tb Ai Munandar, Ajif Yunizar Yusuf Pratama
Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer (2024) Vol. 23, Iss. 2, pp. 285-296
Open Access | Times Cited: 1
Alzheimer's disease classification using cluster‐based labelling for graph neural network on heterogeneous data
Niamh McCombe, Jake Bamrah, José M. Sánchez‐Bornot, et al.
Healthcare Technology Letters (2022) Vol. 9, Iss. 6, pp. 102-109
Open Access | Times Cited: 7
What Threshold of Amyloid Reduction Is Necessary to Meaningfully Improve Cognitive Function in Transgenic Alzheimer’s Disease Mice?
Anita Singh, Matthew Maker, Jayant Prakash, et al.
Journal of Alzheimer s Disease Reports (2024) Vol. 8, Iss. 1, pp. 371-385
Open Access
s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers.
Raghav Tandon, James J. Lah, Cassie S. Mitchell
PubMed (2024) Vol. 248, pp. 461-476
Closed Access
Alzheimer’s Disease Classification Using Cluster-based Labelling for Graph Neural Network on Heterogeneous Data
Niamh McCombe, Jake Bamrah, José M. Sánchez‐Bornot, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
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