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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:

Classifying Alzheimer's disease and frontotemporal dementia using machine learning with cross‐sectional and longitudinal magnetic resonance imaging data
Agnès Pérez‐Millan, José Contador, Jordi Juncà‐Parella, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 6, pp. 2234-2244
Open Access | Times Cited: 21

Showing 21 citing articles:

A scoping review of automatic and semi-automatic MRI segmentation in human brain imaging
Minh Chau, Han X. Vu, Tanmoy Debnath, et al.
Radiography (2025) Vol. 31, Iss. 2, pp. 102878-102878
Open Access | Times Cited: 1
Frontotemporal dementia. How to deal with its diagnostic complexity?
Annibale Antonioni, Emanuela Maria Raho, Enrico Granieri, et al.
Expert Review of Neurotherapeutics (2025)
Closed Access | Times Cited: 1
The potential role of machine learning and deep learning in differential diagnosis of Alzheimer’s disease and FTD using imaging biomarkers: A review
Sara Mirabian, Fatemeh Mohammadian, Zohreh Ganji, et al.
The Neuroradiology Journal (2025)
Open Access
Predicting conversion in cognitively normal and mild cognitive impairment individuals with machine learning: Is the CSF status still relevant?
Mirella Russo, Davide Nardini, Sara Melchiorre, et al.
Alzheimer s & Dementia (2025)
Open Access
Advancing Alzheimer’s detection: integrative approaches in MRI analysis with traditional and deep learning models
T. Vanaja, S. V. Kogilavani, Malliga Subramanian, et al.
Neural Computing and Applications (2025)
Closed Access
Frontotemporal dementia: a systematic review of artificial intelligence approaches in differential diagnosis
Serena Dattola, Augusto Ielo, Giuseppe Varone, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open Access
Metal Toxicity and Dementia Including Frontotemporal Dementia: Current State of Knowledge
Francesca Gorini, Alessandro Tonacci
Antioxidants (2024) Vol. 13, Iss. 8, pp. 938-938
Open Access | Times Cited: 3
Machine and deep learning algorithms for classifying different types of dementia: A literature review
Masoud Noroozi, Mohammadreza Gholami, Hamidreza Sadeghsalehi, et al.
Applied Neuropsychology Adult (2024), pp. 1-15
Closed Access | Times Cited: 3
Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis
Wenhao Qi, Xiaohong Zhu, Danni He, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e57830-e57830
Open Access | Times Cited: 3
The pursuit for markers of disease progression in behavioral variant frontotemporal dementia: a scoping review to optimize outcome measures for clinical trials
Jay L.P. Fieldhouse, Dirk N. van Paassen, Marie‐Paule E. van Engelen, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 1
Beyond group classification: Probabilistic differential diagnosis of frontotemporal dementia and Alzheimer’s disease with MRI and CSF biomarkers
Agnès Pérez‐Millan, Bertrand Thirion, Neus Falgàs, et al.
Neurobiology of Aging (2024) Vol. 144, pp. 1-11
Open Access | Times Cited: 1
Automated brain segmentation and volumetry in dementia diagnostics: a narrative review with emphasis on FreeSurfer
Eya Khadhraoui, Thomas Nickl‐Jockschat, Hans Henkes, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 1
Cortical thickness modeling and variability in Alzheimer’s disease and frontotemporal dementia
Agnès Pérez‐Millan, Sergi Borrego‐Écija, Neus Falgàs, et al.
Journal of Neurology (2023) Vol. 271, Iss. 3, pp. 1428-1438
Open Access | Times Cited: 2
Alzheimer’s Disease and Frontotemporal Dementia: Differential Diagnosis Using Electroencephalogram Signal
Mehran Rostamikia, Yashar Sarbaz, Ali Farzamnia
Lecture notes in electrical engineering (2024), pp. 209-217
Closed Access
Combined cognitive assessment and automated MRI volumetry improves the diagnostic accuracy of detecting MCI due to Alzheimer's disease
Michaela Defrancesco, Josef Marksteiner, Lukas Lenhart, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2024) Vol. 136, pp. 111157-111157
Closed Access
Caregiver perspectives enable accurate diagnosis of neurodegenerative disease
Alexander G. Murley, Lucy Bowns, Marta Camacho, et al.
Alzheimer s & Dementia (2024)
Open Access
Temporal atrophy together with verbal encoding impairment is highly predictive for cognitive decline in typical Alzheimer’s dementia – a retrospective follow-up study
Burak Doganyigit, Michaela Defrancesco, Timo Schurr, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access
Predicting incident dementia in community-dwelling older adults using primary and secondary care data from electronic health records
Konstantin Georgiev, Yiqing Wang, Andrew Conkie, et al.
Brain Communications (2024) Vol. 7, Iss. 1
Open Access
Transdiagnostic brain module dysfunctions across sub-types of frontotemporal dementia: a connectome-based investigation
Xinglin Zeng, He Jiangshan, Zhang Kaixi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Beyond group classification: probabilistic differential diagnosis of frontotemporal dementia and Alzheimer’s disease with MRI and CSF biomarkers.
Agnès Pérez‐Millan, Bertrand Thirion, Neus Falgàs, et al.
Research Square (Research Square) (2023)
Open Access
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