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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 26-50 of 74 citing articles:

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
Non-invasive evaluation for benign and malignant subcentimeter pulmonary ground-glass nodules (≤1 cm) based on CT texture analysis
Xianghua Hu, Weichuan Ye, Zhongxue Li, et al.
British Journal of Radiology (2020) Vol. 93, Iss. 1114
Open Access | Times Cited: 23
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks
Xiaofeng Zhu, Hongming Li, Heng Tao Shen, et al.
Information Fusion (2021) Vol. 75, pp. 131-139
Closed Access | Times Cited: 19
Detection of functional and structural brain alterations in female schizophrenia using elastic net logistic regression
Ying Wu, Ping Ren, Rong Chen, et al.
Brain Imaging and Behavior (2021) Vol. 16, Iss. 1, pp. 281-290
Open Access | Times Cited: 18
Associations of conservatism and jumping to conclusions biases with aberrant salience and default mode network
Jun Miyata, Akihiko Sasamoto, Takahiro Ezaki, et al.
Psychiatry and Clinical Neurosciences (2024) Vol. 78, Iss. 5, pp. 322-331
Open Access | Times Cited: 2
Automated atrophy assessment for Alzheimer's disease diagnosis from brain MRI images
Tawseef Ayoub Shaikh, Rashid Ali
Magnetic Resonance Imaging (2019) Vol. 62, pp. 167-173
Closed Access | Times Cited: 22
Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
Derek B. Archer, Kurt G. Schilling, Niranjana Shashikumar, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2023) Vol. 15, Iss. 4
Open Access | Times Cited: 6
Localized instance fusion of MRI data of Alzheimer’s disease for classification based on instance transfer ensemble learning
Xiaoheng Tan, Yuchuan Liu, Yongming Li, et al.
BioMedical Engineering OnLine (2018) Vol. 17, Iss. 1
Open Access | Times Cited: 20
Computer-aided automated discrimination of Alzheimer's disease and its clinical progression in magnetic resonance images using hybrid clustering and game theory-based classification strategies
P. Rajesh Kumar, T. Arunprasath, M. Pallikonda Rajasekaran, et al.
Computers & Electrical Engineering (2018) Vol. 72, pp. 283-295
Closed Access | Times Cited: 19
Ensembling complex network ‘perspectives’ for mild cognitive impairment detection with artificial neural networks
Eufemia Lella, Gennaro Vessio
Pattern Recognition Letters (2020) Vol. 136, pp. 168-174
Open Access | Times Cited: 16
Early rapid diagnosis of Alzheimer’s disease based on fusion of near- and mid-infrared spectral features combined with PLS-DA
Chuanmei Yang, Peiwen Guang, Li Li, et al.
Optik (2021) Vol. 241, pp. 166485-166485
Closed Access | Times Cited: 15
Using SVM for Alzheimer’s Disease detection from 3D T1MRI
Rashmi Kumari, Shivani Goel, Subhranil Das
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022)
Closed Access | Times Cited: 10
Whole-brain dynamical modelling for classification of Parkinson’s disease
Kyesam Jung, Esther Florin, Kaustubh R. Patil, et al.
Brain Communications (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 9
Individual identification using multi-metric of DTI in Alzheimer’s disease and mild cognitive impairment
Yingteng Zhang, Shenquan Liu
Chinese Physics B (2018) Vol. 27, Iss. 8, pp. 088702-088702
Closed Access | Times Cited: 16
On the potential for mapping apparent neural soma density via a clinically viable diffusion MRI protocol
Noemi G. Gyori, Chris Clark, Daniel C. Alexander, et al.
NeuroImage (2021) Vol. 239, pp. 118303-118303
Open Access | Times Cited: 12
A Comprehensive Review Analysis of Alzheimer’s Disorder Using Machine Learning Approach
Priyom Dutta, Sushruta Mishra
Studies in computational intelligence (2022), pp. 63-76
Closed Access | Times Cited: 7
Multimodal tract-based MRI metrics outperform whole brain markers in determining cognitive impact of small vessel disease-related brain injury
Alberto De Luca, Hugo J. Kuijf, Lieza G. Exalto, et al.
Brain Structure and Function (2022) Vol. 227, Iss. 7, pp. 2553-2567
Open Access | Times Cited: 7
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
Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging
Derek B. Archer, Kurt G. Schilling, Niranjana Shashikumar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Probabilistic Principal Component Analysis and Long Short-Term Memory Classifier for Automatic Detection of Alzheimer’s Disease using MRI Brain Images
H.S. Suresha, S Parthasarathy
Journal of The Institution of Engineers (India) Series B (2021)
Closed Access | Times Cited: 8
Detection of mild cognitive impairment in a community‐dwelling population using quantitative, multiparametric MRI‐based classification
Mark J.R.J. Bouts, Jeroen van der Grond, Meike W. Vernooij, et al.
Human Brain Mapping (2019) Vol. 40, Iss. 9, pp. 2711-2722
Open Access | Times Cited: 8
Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease Classification
Wouter van Loon, Frank de Vos, Marjolein Fokkema, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5
Discriminating VCID subgroups: A diffusion MRI multi-model fusion approach
Rajikha Raja, Arvind Caprihan, Gary A. Rosenberg, et al.
Journal of Neuroscience Methods (2020) Vol. 335, pp. 108598-108598
Open Access | Times Cited: 6
Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients
Frank de Vos, Tijn M. Schouten, Marisa Koini, et al.
NeuroImage Clinical (2020) Vol. 27, pp. 102303-102303
Open Access | Times Cited: 6
Enhancing Learnability of Classification Algorithms Using Simple Data Preprocessing in fMRI Scans of Alzheimer’s Disease
Rishu Garg, Rekh Ram Janghel, Yogesh Kumar Rathore
Lecture notes in electrical engineering (2021), pp. 1055-1063
Open Access | Times Cited: 5

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