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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:

Inter-Cohort Validation of SuStaIn Model for Alzheimer’s Disease
Damiano Archetti, Alexandra L. Young, Neil P. Oxtoby, et al.
Frontiers in Big Data (2021) Vol. 4
Open Access | Times Cited: 20

Showing 20 citing articles:

Disease staging of Alzheimer’s disease using a CSF-based biomarker model
Gemma Salvadó, Kanta Horie, Nicolas R. Barthélemy, et al.
Nature Aging (2024) Vol. 4, Iss. 5, pp. 694-708
Open Access | Times Cited: 36
Data-driven modelling of neurodegenerative disease progression: thinking outside the black box
Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, et al.
Nature reviews. Neuroscience (2024) Vol. 25, Iss. 2, pp. 111-130
Closed Access | Times Cited: 27
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: 34
A generalizable data-driven model of atrophy heterogeneity and progression in memory clinic settings
Hannah Baumeister, Jacob W. Vogel, Philip S. Insel, et al.
Brain (2024) Vol. 147, Iss. 7, pp. 2400-2413
Open Access | Times Cited: 9
The temporal event-based model: Learning event timelines in progressive diseases
P. A. Wijeratne, Arman Eshaghi, William J. Scotton, et al.
Imaging Neuroscience (2023) Vol. 1, pp. 1-19
Open Access | Times Cited: 11
Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA
Silvia De Francesco, Claudio Crema, Damiano Archetti, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
A review of neuroimaging-based data-driven approach for Alzheimer’s disease heterogeneity analysis
Lingyu Liu, Shen Sun, Wenjie Kang, et al.
Reviews in the Neurosciences (2023) Vol. 35, Iss. 2, pp. 121-139
Closed Access | Times Cited: 8
Transferability of Alzheimer's disease progression subtypes to an independent population cohort
Hanyi Chen, Alexandra L. Young, Neil P. Oxtoby, et al.
NeuroImage (2023) Vol. 271, pp. 120005-120005
Open Access | Times Cited: 7
An ontology-based approach for harmonization and cross-cohort query of Alzheimer’s disease data resources
Xubing Hao, Xiaojin Li, Guo‐Qiang Zhang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. S1
Open Access | Times Cited: 6
Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review
Pindong Chen, Shirui Zhang, Kun Zhao, et al.
Brain Research (2023) Vol. 1823, pp. 148675-148675
Closed Access | Times Cited: 6
Novel CSF tau biomarkers can be used for disease staging of sporadic Alzheimer’s disease
Gemma Salvadó, Kanta Horie, Nicolas R. Barthélemy, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Uncovering distinct progression patterns of tau deposition in progressive supranuclear palsy using [18F]Florzolotau PET imaging and subtype/stage inference algorithm
Jimin Hong, Jiaying Lu, Fengtao Liu, et al.
EBioMedicine (2023) Vol. 97, pp. 104835-104835
Open Access | Times Cited: 5
Italian, European, and international neuroinformatics efforts: An overview
Alberto Redolfi, Damiano Archetti, Silvia De Francesco, et al.
European Journal of Neuroscience (2022) Vol. 57, Iss. 12, pp. 2017-2039
Open Access | Times Cited: 8
Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction
Michael C. Burkhart, Liz Yuanxi Lee, Delshad Vaghari, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Imaging Clinical Subtypes and Associated Brain Networks in Alzheimer’s Disease
Karl Herholz
Brain Sciences (2022) Vol. 12, Iss. 2, pp. 146-146
Open Access | Times Cited: 6
Multimodal subtypes identified in Alzheimer’s Disease Neuroimaging Initiative participants by missing-data-enabled subtype and stage inference
Mar Estarellas, Neil P. Oxtoby, Jonathan M. Schott, et al.
Brain Communications (2024) Vol. 6, Iss. 4
Open Access
The Consortium for Clarity in ADRD Research Through Imaging (CLARiTI)
Elizabeth C. Mormino, Sarah Biber, Annalise Rahman‐Filipiak, et al.
Alzheimer s & Dementia (2024)
Open Access
A Multiform Heterogeneity Framework for Alzheimer’s Disease Based on Multimodal Neuroimaging
Kun Zhao, Pindong Chen, Dong Wang, et al.
Biological Psychiatry (2024)
Closed Access
Preliminary validation of a structural magnetic resonance imaging metric for tracking dementia-related neurodegeneration and future decline
Gavin T. Kress, Emily S. Popa, Paul M. Thompson, et al.
NeuroImage Clinical (2023) Vol. 39, pp. 103458-103458
Open Access | Times Cited: 1
Crop Filling: a pipeline for repairing memory clinic MRI corrupted by partial brain coverage
Gonzalo Castro Leal, Tim Whitfield, Janaki Praharaju, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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