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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:

Imaging plus X: multimodal models of neurodegenerative disease
Neil P. Oxtoby, Daniel C. Alexander
Current Opinion in Neurology (2017) Vol. 30, Iss. 4, pp. 371-379
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
Shaker El–Sappagh, José M. Alonso, S. M. Riazul Islam, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 226
Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data
Shaker El–Sappagh, Tamer Abuhmed, S. M. Riazul Islam, et al.
Neurocomputing (2020) Vol. 412, pp. 197-215
Closed Access | Times Cited: 178
Causal machine learning for healthcare and precision medicine
Pedro Sanchez, Jeremy P. Voisey, Tian Xia, et al.
Royal Society Open Science (2022) Vol. 9, Iss. 8
Open Access | Times Cited: 90
Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia
Laura Winchester, Eric L. Harshfield, Shi Liu, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5860-5871
Open Access | Times Cited: 42
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: 26
Data-driven models of dominantly-inherited Alzheimer’s disease progression
Neil P. Oxtoby, Alexandra L. Young, David M. Cash, et al.
Brain (2018) Vol. 141, Iss. 5, pp. 1529-1544
Open Access | Times Cited: 119
Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, et al.
Medical Image Analysis (2019) Vol. 53, pp. 39-46
Open Access | Times Cited: 110
Forecasting the progression of Alzheimer's disease using neural networks and a novel preprocessing algorithm
Jack Albright
Alzheimer s & Dementia Translational Research & Clinical Interventions (2019) Vol. 5, Iss. 1, pp. 483-491
Open Access | Times Cited: 85
Disease Progression Modeling in Chronic Obstructive Pulmonary Disease
Alexandra L. Young, Felix Bragman, Bojidar Rangelov, et al.
American Journal of Respiratory and Critical Care Medicine (2019) Vol. 201, Iss. 3, pp. 294-302
Open Access | Times Cited: 77
Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling
Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, et al.
NeuroImage (2018) Vol. 186, pp. 518-532
Open Access | Times Cited: 73
A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer’s disease
Gerard Martí‐Juan, Gerard Sanroma‐Guell, Gemma Piella
Computer Methods and Programs in Biomedicine (2020) Vol. 189, pp. 105348-105348
Open Access | Times Cited: 66
The ENIGMA‐Epilepsy working group: Mapping disease from large data sets
Sanjay M. Sisodiya, Christopher D. Whelan, Sean N. Hatton, et al.
Human Brain Mapping (2020) Vol. 43, Iss. 1, pp. 113-128
Open Access | Times Cited: 66
Deep recurrent model for individualized prediction of Alzheimer’s disease progression
Wonsik Jung, Eunji Jun, Heung‐Il Suk
NeuroImage (2021) Vol. 237, pp. 118143-118143
Open Access | Times Cited: 49
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
Neuroimaging in amyotrophic lateral sclerosis: current and emerging uses
Federica Agosta, Edoardo Gioele Spinelli, Massimo Filippi
Expert Review of Neurotherapeutics (2018) Vol. 18, Iss. 5, pp. 395-406
Closed Access | Times Cited: 58
An image‐based model of brain volume biomarker changes in Huntington's disease
P. A. Wijeratne, Alexandra L. Young, Neil P. Oxtoby, et al.
Annals of Clinical and Translational Neurology (2018) Vol. 5, Iss. 5, pp. 570-582
Open Access | Times Cited: 53
Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer’s Disease
Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, et al.
Frontiers in Neurology (2017) Vol. 8
Open Access | Times Cited: 48
Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach
M. Belen Bachli, Lucas Sedeño, Jeremi K. Ochab, et al.
NeuroImage (2019) Vol. 208, pp. 116456-116456
Open Access | Times Cited: 48
Sequences of cognitive decline in typical Alzheimer's disease and posterior cortical atrophy estimated using a novel event‐based model of disease progression
Nicholas C. Firth, Silvia Primativo, Emilie Brotherhood, et al.
Alzheimer s & Dementia (2020) Vol. 16, Iss. 7, pp. 965-973
Open Access | Times Cited: 47
Dynamics of Cortical Degeneration Over a Decade in Huntington’s Disease
Eileanoir B. Johnson, Gabriel Ziegler, W.D. Penny, et al.
Biological Psychiatry (2020) Vol. 89, Iss. 8, pp. 807-816
Open Access | Times Cited: 47
Cyclase-associated protein 2 dimerization regulates cofilin in synaptic plasticity and Alzheimer's disease
Silvia Pelucchi, Lina Vandermeulen, Lara Pizzamiglio, et al.
Brain Communications (2020) Vol. 2, Iss. 2
Open Access | Times Cited: 44
Artificial intelligence for dementia research methods optimization
Magda Bucholc, Charlotte James, Ahmad Al Khleifat, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5934-5951
Open Access | Times Cited: 15
MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer’s disease progression modelling
Gerard Martí‐Juan, Marco Lorenzi, Gemma Piella
NeuroImage (2023) Vol. 268, pp. 119892-119892
Open Access | Times Cited: 14
Transforming brain research: Neuroimaging breakthroughs driven by AI
Tushita, Vivek Srivastava, Ravi Kant Singh
AIP conference proceedings (2025) Vol. 3262, pp. 020021-020021
Closed Access
Promoting Research on Modeling and Simulation
Akihiro Hisaka
YAKUGAKU ZASSHI (2025) Vol. 145, Iss. 3, pp. 223-246
Open Access
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