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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:

Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease
Konstantinos Poulakis, Joana B. Pereira, J‐Sebastian Muehlboeck, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

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
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: 10
Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data
Alexia Giannoula, Audrey E. De Paepe, Ferrán Sanz, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies
Anna Inguanzo, Konstantinos Poulakis, Rosaleena Mohanty, et al.
npj Parkinson s Disease (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 17
Co‐Assembled Nanoparticles toward Multi‐Target Combinational Therapy of Alzheimer's Disease by Making Full Use of Molecular Recognition and Self‐Assembly
Wen‐Bo Li, Linlin Xu, Si‐Lei Wang, et al.
Advanced Materials (2024) Vol. 36, Iss. 28
Closed Access | Times Cited: 6
Differential response to donepezil in MRI subtypes of mild cognitive impairment
Patricia Diaz‐Galvan, Giulia Lorenzon, Rosaleena Mohanty, et al.
Alzheimer s Research & Therapy (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 14
Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling
Pei Gao, Zheng Chen, Xin Liu, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108616-108616
Closed Access
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study
Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, et al.
BioData Mining (2025) Vol. 18, Iss. 1
Open Access
Identifying Alzheimer’s Disease Progression Subphenotypes via a Graph-based Framework using Electronic Health Records
Yu Huang, Jie Xu, Zhengkang Fan, et al.
Research Square (Research Square) (2025)
Closed Access
Atrophy trajectories in Alzheimer’s disease: how sex matters
Anna Inguanzo, Konstantinos Poulakis, Javier Oltra, et al.
Alzheimer s Research & Therapy (2025) Vol. 17, Iss. 1
Open Access
Identifying underlying patterns in Alzheimer's disease trajectory: a deep learning approach and Mendelian randomization analysis
Yi Fan, Yaoyun Zhang, Jing Yuan, et al.
EClinicalMedicine (2023) Vol. 64, pp. 102247-102247
Open Access | Times Cited: 12
An Alzheimer’s disease category progression sub-grouping analysis using manifold learning on ADNI
Dustin van der Haar, Ahmed A. Moustafa, Samuel L. Warren, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms
Ahmed Faraz Khan, Yasser Iturria‐Medina
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
The hippocampal sparing subtype of Alzheimer’s disease assessed in neuropathology and in vivo tau positron emission tomography: a systematic review
Daniel Ferreira, Rosaleena Mohanty, Melissa E. Murray, et al.
Acta Neuropathologica Communications (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 14
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
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations
Konstantinos Poulakis, Eric Westman
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
Identifying Progression-Specific Alzheimer’s Subtypes Using Multimodal Transformer
Diego Machado Reyes, Hanqing Chao, Juergen Hahn, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 4, pp. 421-421
Open Access | Times Cited: 2
MRI subtypes in Parkinson’s disease across diverse populations and clustering approaches
Anna Inguanzo, Rosaleena Mohanty, Konstantinos Poulakis, et al.
npj Parkinson s Disease (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 2
Subtype and Stage Inference with Timescales
Alexandra L. Young, Leon M. Aksman, Daniel C. Alexander, et al.
Lecture notes in computer science (2023), pp. 15-26
Closed 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
Cognitively defined Alzheimer's dementia subgroups have distinct atrophy patterns
Paul K. Crane, Colin Groot, Rik Ossenkoppele, et al.
Alzheimer s & Dementia (2023) Vol. 20, Iss. 3, pp. 1739-1752
Open Access | Times Cited: 5
Multi-pathological contributions toward atrophy patterns in the Alzheimer’s disease continuum
Rosaleena Mohanty, Daniel Ferreira, Eric Westman
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Machine learning on longitudinal multi-modal data enables the understanding and prognosis of Alzheimer’s disease progression
Suixia Zhang, Jing Yuan, Yu Sun, et al.
iScience (2024) Vol. 27, Iss. 7, pp. 110263-110263
Open Access | Times Cited: 1
Clustering Longitudinal Data: A Review of Methods and Software Packages
Zihang Lu
International Statistical Review (2024)
Open Access | Times Cited: 1
The Transition from Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research
Qingyu Zhao, Kate B. Nooner, Susan F. Tapert, et al.
Biological Psychiatry Global Open Science (2024) Vol. 5, Iss. 1, pp. 100397-100397
Open Access | Times Cited: 1
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