Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 26 citing articles:

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
Junhao Wen, Elina Thibeau‐Sutre, Mauricio Diaz-Melo, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101694-101694
Open Access | Times Cited: 552
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Sergio Grueso, Raquel Viejo-Sobera
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 178
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies
Alexandre Routier, Ninon Burgos, Mauricio Díaz, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 87
Regional Glymphatic Abnormality in Behavioral Variant Frontotemporal Dementia
Deming Jiang, Li Liu, Yu Kong, et al.
Annals of Neurology (2023) Vol. 94, Iss. 3, pp. 442-456
Open Access | Times Cited: 38
A Novel Approach Utilizing Machine Learning for the Early Diagnosis of Alzheimer's Disease
Khandaker Mohammad Mohi Uddin, Mir Jafikul Alam, Jannat-E-Anawar, et al.
Deleted Journal (2023) Vol. 1, Iss. 2, pp. 882-898
Open Access | Times Cited: 32
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25
Multi-scale attention-based pseudo-3D convolution neural network for Alzheimer’s disease diagnosis using structural MRI
Zhao Pei, Zhiyang Wan, Yanning Zhang, et al.
Pattern Recognition (2022) Vol. 131, pp. 108825-108825
Closed Access | Times Cited: 31
Genomic loci influence patterns of structural covariance in the human brain
Junhao Wen, Ilya M. Nasrallah, Ahmed Abdulkadir, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 52
Open Access | Times Cited: 16
Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data
Tatsuya Jitsuishi, Atsushi Yamaguchi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
Specific White Matter Tracts and Diffusion Properties Predict Conversion From Mild Cognitive Impairment to Alzheimer’s Disease
David B. Stone, Sephira G. Ryman, Alexandra P. Hartman, et al.
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 24
Detection of gray matter microstructural changes in Alzheimer’s disease continuum using fiber orientation
Peter Lee, Hang‐Rai Kim, Yong Jeong
BMC Neurology (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 21
Data-driven multimodal fusion: approaches and applications in psychiatric research
Jing Sui, Dongmei Zhi, Vince D. Calhoun
Deleted Journal (2023) Vol. 3
Open Access | Times Cited: 7
Machine Learning Models for Diagnosis of Parkinson’s Disease Using Multiple Structural Magnetic Resonance Imaging Features
Yang Ya, Lirong Ji, Yujing Jia, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 11
Mild cognitive impairment classification using combined structural and diffusion imaging biomarkers
Jorge Pérez-González, Luis Jiménez-Ángeles, Karla Rojas Saavedra, et al.
Physics in Medicine and Biology (2021) Vol. 66, Iss. 15, pp. 155010-155010
Closed Access | Times Cited: 9
Novel genomic loci influence patterns of structural covariance in the human brain
Junhao Wen, Ilya M. Nasrallah, Ahmed Abdulkadir, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases
Junhao Wen, Erdem Varol, Ganesh B. Chand, et al.
Lecture notes in computer science (2020), pp. 678-687
Closed Access | Times Cited: 6
Early Identification Of Alzheimer's Disease Using Medical Imaging: A Review From A Machine Learning Approach Perspective
N Naveen, Nagaraj G. Cholli
(2024)
Open Access
Forecasting alzheimer's disease in its early stages with the use of machine learning algorithms
M. Shafiya Banu, Harish Prakash
Global Journal of Engineering and Technology Advances (2024) Vol. 20, Iss. 1, pp. 231-241
Open Access
Early Detection of Alzheimer’s Disease Using Medical Imaging: A Review of Intelligent Approaches
N C Naveen, Nagaraj G. Cholli
Lecture notes in electrical engineering (2024), pp. 71-94
Closed Access
MRI-based mild cognitive impairment and Alzheimer's disease classification using an algorithm of combination of variational autoencoder and other machine learning classifiers
Subhrangshu Bit, Pritam Dey, Arnab Maji, et al.
Journal of Alzheimer s Disease Reports (2024) Vol. 8, Iss. 1, pp. 1434-1452
Open Access
Neuroimaging in Machine Learning for Brain Disorders
Ninon Burgos
Neuromethods (2023), pp. 253-284
Open Access | Times Cited: 1
Multi-Modal Deep Feature Integration for Alzheimer's Disease Staging
Amritpal Singh, Wenqi Shi, May D. Wang
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 1-6
Closed Access | Times Cited: 1
Mega-analysis of brain structural covariance, genetics, and clinical phenotypes
Junhao Wen, Ilya M. Nasrallah, Ahmed Abdulkadir, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
Clinica: an open source software platform for reproducible clinical neuroscience studies
Ninon Burgos, Mauricio Díaz, Michael Bacci, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Tribute to Anne Bertrand (1978–2018): Neuroradiologist, scientist, teacher and friend
Didier Dormont, Noam Ben‐Eliezer, Ninon Burgos, et al.
Journal of Neuroradiology (2019) Vol. 46, Iss. 2, pp. 155-159
Open Access
Page 1 - Next Page

Scroll to top