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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:

Individual classification of Alzheimer's disease with diffusion magnetic resonance imaging
Tijn M. Schouten, Marisa Koini, Frank de Vos, et al.
NeuroImage (2017) Vol. 152, pp. 476-481
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease
Frank de Vos, Marisa Koini, Tijn M. Schouten, et al.
NeuroImage (2017) Vol. 167, pp. 62-72
Open Access | Times Cited: 184
Radiological images and machine learning: Trends, perspectives, and prospects
Zhenwei Zhang, Ervin Sejdić
Computers in Biology and Medicine (2019) Vol. 108, pp. 354-370
Open Access | Times Cited: 173
Deep Convolution Neural Network Based System for Early Diagnosis of Alzheimer's Disease
Rekh Ram Janghel, Yogesh Kumar Rathore
IRBM (2020) Vol. 42, Iss. 4, pp. 258-267
Closed Access | Times Cited: 145
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions
Renjie Li, Xinyi Wang, Katherine Lawler, et al.
Journal of Biomedical Informatics (2022) Vol. 127, pp. 104030-104030
Open Access | Times Cited: 80
Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review
Yu Chen, Yifei Wang, Zeyu Song, et al.
Ageing Research Reviews (2023) Vol. 87, pp. 101911-101911
Closed Access | Times Cited: 51
Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model
Shivanshu Mahim, Md Shahin Ali, Md. Olid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 8390-8412
Open Access | Times Cited: 21
Alzheimer detection using Group Grey Wolf Optimization based features with convolutional classifier
K. Shankar, Lakshmanaprabu S.K., Ashish Khanna, et al.
Computers & Electrical Engineering (2019) Vol. 77, pp. 230-243
Closed Access | Times Cited: 133
Machine learning studies on major brain diseases: 5-year trends of 2014–2018
Koji Sakai, Kei Yamada
Japanese Journal of Radiology (2018) Vol. 37, Iss. 1, pp. 34-72
Closed Access | Times Cited: 114
Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis
Pilar Garcés, Sarah Baumeister, Luke Mason, et al.
Molecular Autism (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 46
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
Omer Asghar Dara, José Manuel López-Guede, Hasan Issa Raheem, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8298-8298
Open Access | Times Cited: 26
Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities
Zening Fu, Ishaan Batta, Lei Wu, et al.
NeuroImage (2024) Vol. 292, pp. 120617-120617
Open Access | Times Cited: 8
Classification of Alzheimer’s Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation
Fabrizio Vecchio, Francesca Miraglia, Francesca Alù, et al.
Journal of Alzheimer s Disease (2020) Vol. 75, Iss. 4, pp. 1253-1261
Closed Access | Times Cited: 55
Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets
Xuejiao Dou, Hongxiang Yao, Feng Feng, et al.
Cortex (2020) Vol. 129, pp. 390-405
Closed Access | Times Cited: 41
Feed-forward LPQNet based Automatic Alzheimer's Disease Detection Model
Ela Kaplan, Şengül Doğan, Türker Tuncer, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104828-104828
Closed Access | Times Cited: 40
White matter microstructural metrics are sensitively associated with clinical staging in Alzheimer's disease
Yisu Yang, Kurt G. Schilling, Niranjana Shashikumar, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2023) Vol. 15, Iss. 2
Open Access | Times Cited: 15
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
Quasi-Periodic Patterns of Neural Activity improve Classification of Alzheimer’s Disease in Mice
Michaël E. Belloy, Disha Shah, Anzar Abbas, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 44
Machine Learning and DWI Brain Communicability Networks for Alzheimer’s Disease Detection
Eufemia Lella, Angela Lombardi, Nicola Amoroso, et al.
Applied Sciences (2020) Vol. 10, Iss. 3, pp. 934-934
Open Access | Times Cited: 36
Machine Learning for the Classification of Alzheimer’s Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review
Lucia Billeci, Asia Badolato, Lorenzo Bachi, et al.
Processes (2020) Vol. 8, Iss. 9, pp. 1071-1071
Open Access | Times Cited: 34
An Ensemble Learning Approach Based on Diffusion Tensor Imaging Measures for Alzheimer’s Disease Classification
Eufemia Lella, Andrea Pazienza, Domenico Lofù, et al.
Electronics (2021) Vol. 10, Iss. 3, pp. 249-249
Open Access | Times Cited: 32
Identification of Superficial White Matter Abnormalities in Alzheimer’s Disease and Mild Cognitive Impairment Using Diffusion Tensor Imaging
Bahare Bigham, Seyed Amir Zamanpour, Fariba Zemorshidi, et al.
Journal of Alzheimer s Disease Reports (2020) Vol. 4, Iss. 1, pp. 49-59
Open Access | Times Cited: 30
The Identification of Alzheimer’s Disease Using Functional Connectivity Between Activity Voxels in Resting-State fMRI Data
Yuhu Shi, Weiming Zeng, Jin Deng, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2020) Vol. 8, pp. 1-11
Open Access | Times Cited: 28
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer’s disease progression
Juan E. Arco, Andrés Ortíz, Diego Castillo-Barnés, et al.
Applied Soft Computing (2023) Vol. 134, pp. 109991-109991
Open Access | Times Cited: 10
Communicability disruption in Alzheimer’s disease connectivity networks
Eufemia Lella, Nicola Amoroso, Angela Lombardi, et al.
Journal of Complex Networks (2018) Vol. 7, Iss. 1, pp. 83-100
Closed Access | Times Cited: 29
Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease
Junhao Wen, Jorge Samper‐Gonzàlez, Simona Bottani, et al.
Neuroinformatics (2020) Vol. 19, Iss. 1, pp. 57-78
Open Access | Times Cited: 26
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