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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:

Single Subject Classification of Alzheimer’s Disease and Behavioral Variant Frontotemporal Dementia Using Anatomical, Diffusion Tensor, and Resting-State Functional Magnetic Resonance Imaging
Mark J.R.J. Bouts, Christiane Möller, Anne Hafkemeijer, et al.
Journal of Alzheimer s Disease (2018) Vol. 62, Iss. 4, pp. 1827-1839
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review
Samuel L. Warren, Ahmed A. Moustafa
Journal of Neuroimaging (2022) Vol. 33, Iss. 1, pp. 5-18
Open Access | Times Cited: 91
Prediction and Classification of Alzheimer’s Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers
Yubraj Gupta, Ramesh Kumar Lama, Goo‐Rak Kwon
Frontiers in Computational Neuroscience (2019) Vol. 13
Open Access | Times Cited: 130
Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease
Jun Pyo Kim, Jeonghun Kim, Yu Hyun Park, et al.
NeuroImage Clinical (2019) Vol. 23, pp. 101811-101811
Open Access | Times Cited: 92
Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer’s Disease
Jingjing Hu, Qing Zhao, Renyuan Liu, et al.
Frontiers in Neuroscience (2021) Vol. 14
Open Access | Times Cited: 56
Detecting frontotemporal dementia syndromes using MRI biomarkers
Marie Bruun, Juha Koikkalainen, Hanneke Rhodius‐Meester, et al.
NeuroImage Clinical (2019) Vol. 22, pp. 101711-101711
Open Access | Times Cited: 62
Network‐targeted approach and postoperative resting‐state functional magnetic resonance imaging are associated with seizure outcome
Varina L. Boerwinkle, Emilio Cediel, Lucia Mirea, et al.
Annals of Neurology (2019) Vol. 86, Iss. 3, pp. 344-356
Open Access | Times Cited: 61
Machine learning for classification and prediction of brain diseases: recent advances and upcoming challenges
Ninon Burgos, Olivier Colliot
Current Opinion in Neurology (2020) Vol. 33, Iss. 4, pp. 439-450
Open Access | Times Cited: 42
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
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
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
A survey on applications and analysis methods of functional magnetic resonance imaging for Alzheimer’s disease
Parisa Forouzannezhad, Alireza Abbaspour, Chen Fang, et al.
Journal of Neuroscience Methods (2018) Vol. 317, pp. 121-140
Open Access | Times Cited: 40
FTD spectrum: Neuroimaging across the FTD spectrum
Jennifer L. Whitwell
Progress in molecular biology and translational science (2019), pp. 187-223
Open Access | Times Cited: 39
Radiological classification of dementia from anatomical MRI assisted by machine learning-derived maps
Pierre Chagué, B. Marro, Sarah Fadili, et al.
Journal of Neuroradiology (2020) Vol. 48, Iss. 6, pp. 412-418
Open Access | Times Cited: 29
VEGF-A-related genetic variants protect against Alzheimer’s disease
Alexandros M. Petrelis, Maria G. Stathopoulou, Maria Kafyra, et al.
Aging (2022) Vol. 14, Iss. 6, pp. 2524-2536
Open Access | Times Cited: 18
MRI biomarkers for Alzheimer's disease: the impact of functional connectivity in the default mode network and structural connectivity between lobes on diagnostic accuracy
Rafat Mohtasib, Jamaan Alghamdi, Aman Jobeir, et al.
Heliyon (2022) Vol. 8, Iss. 2, pp. e08901-e08901
Open Access | Times Cited: 15
Ventricular features as reliable differentiators between bvFTD and other dementias
Ana Laura Manera, Mahsa Dadar, D. Louis Collins, et al.
NeuroImage Clinical (2022) Vol. 33, pp. 102947-102947
Open Access | Times Cited: 14
Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI
Rogier A. Feis, Mark J.R.J. Bouts, Jessica Panman, et al.
NeuroImage Clinical (2018) Vol. 20, pp. 188-196
Open Access | Times Cited: 27
The changing landscape of neuroimaging in frontotemporal lobar degeneration: from group-level observations to single-subject data interpretation
Mary Clare McKenna, Aizuri Murad, William Huynh, et al.
Expert Review of Neurotherapeutics (2022) Vol. 22, Iss. 3, pp. 179-207
Closed Access | Times Cited: 13
Time-Frequency functional connectivity alterations in Alzheimer’s disease and frontotemporal dementia: An EEG analysis using machine learning
Huang Zheng, Xiao Han, Y Zhang, et al.
Clinical Neurophysiology (2024) Vol. 170, pp. 110-119
Closed Access | Times Cited: 2
Characterization of Alzheimer’s Disease Using Ultra-high b-values Apparent Diffusion Coefficient and Diffusion Kurtosis Imaging
Yingnan Xue, Zhenhua Zhang, Caiyun Wen, et al.
Aging and Disease (2018) Vol. 10, Iss. 5, pp. 1026-1026
Open Access | Times Cited: 21
A multimodal MRI-based classification signature emerges just prior to symptom onset in frontotemporal dementia mutation carriers
Rogier A. Feis, Mark J.R.J. Bouts, Frank de Vos, et al.
Journal of Neurology Neurosurgery & Psychiatry (2019) Vol. 90, Iss. 11, pp. 1207-1214
Closed Access | Times Cited: 21
Individual Prediction of Behavioral Variant Frontotemporal Dementia Development Using Multivariate Pattern Analysis of Magnetic Resonance Imaging Data
Paul Zhutovsky, Everard G.B. Vijverberg, Willem B. Bruin, et al.
Journal of Alzheimer s Disease (2019) Vol. 68, Iss. 3, pp. 1229-1241
Closed Access | Times Cited: 18
White matter microstructure alterations in frontotemporal dementia: Phenotype‐associated signatures and single‐subject interpretation
Mary Clare McKenna, Marlene Tahedl, Aizuri Murad, et al.
Brain and Behavior (2022) Vol. 12, Iss. 2
Open Access | Times Cited: 10
Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI
Rogier A. Feis, Mark J.R.J. Bouts, Jessica Panman, et al.
NeuroImage Clinical (2019) Vol. 22, pp. 101718-101718
Open Access | Times Cited: 16
Functional connectivity in behavioral variant frontotemporal dementia
Luiz Kobuti Ferreira, Olof Lindberg, Alexander Santillo, et al.
Brain and Behavior (2022) Vol. 12, Iss. 12
Open Access | Times Cited: 9
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