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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:

Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis
Kun Hu, Yijue Wang, Kewei Chen, et al.
Neurocomputing (2015) Vol. 175, pp. 132-145
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks
Jyoti Islam, Yanqing Zhang
Brain Informatics (2018) Vol. 5, Iss. 2
Open Access | Times Cited: 384
Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm
Iman Beheshti, Hasan Demirel, Hiroshi Matsuda
Computers in Biology and Medicine (2017) Vol. 83, pp. 109-119
Closed Access | Times Cited: 219
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data
Hongming Li, Mohamad Habes, David A. Wolk, et al.
Alzheimer s & Dementia (2019) Vol. 15, Iss. 8, pp. 1059-1070
Open Access | Times Cited: 207
Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment
Gemma Lombardi, Giada Crescioli, Enrica Cavedo, et al.
Cochrane library (2020)
Open Access | Times Cited: 165
Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review
Robin Borchert, Tiago Azevedo, AmanPreet Badhwar, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5885-5904
Open Access | Times Cited: 43
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Mohammed Alsubaie, Suhuai Luo, Kamran Shaukat
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 464-505
Open Access | Times Cited: 25
Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database
Christian Ledig, Andreas Schuh, Ricardo Guerrero, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 147
Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning
Olfa Ben Ahmed, Jenny Benois‐Pineau, Michelle Allard, et al.
Neurocomputing (2016) Vol. 220, pp. 98-110
Open Access | Times Cited: 103
Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer’s disease
Salim Lahmiri, Amir Shmuel
Biomedical Signal Processing and Control (2018) Vol. 52, pp. 414-419
Closed Access | Times Cited: 91
Application of Artificial Intelligence techniques for the detection of Alzheimer’s disease using structural MRI images
Xinxing Zhao, Candice Ke En Ang, U. Rajendra Acharya, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 456-473
Closed Access | Times Cited: 64
Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach
Tingting Zhang, Qian Liao, Danmei Zhang, et al.
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 60
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
Junhao Wen, Erdem Varol, Aristeidis Sotiras, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102304-102304
Open Access | Times Cited: 56
Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans
Yanteng Zhang, Xiaohai He, Yi Hao Chan, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107328-107328
Open Access | Times Cited: 23
Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease
Bo Cheng, Mingxia Liu, Dinggang Shen, et al.
Neuroinformatics (2016) Vol. 15, Iss. 2, pp. 115-132
Open Access | Times Cited: 76
AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction
Fei Gao, Hyunsoo Yoon, Yanzhe Xu, et al.
NeuroImage Clinical (2020) Vol. 27, pp. 102290-102290
Open Access | Times Cited: 56
Ensemble Model for Diagnostic Classification of Alzheimer’s Disease Based on Brain Anatomical Magnetic Resonance Imaging
Yusera Farooq Khan, Baijnath Kaushik, Chiranji Lal Chowdhary, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3193-3193
Open Access | Times Cited: 33
MMAN: Multi-modality aggregation network for brain segmentation from MR images
Jingcong Li, Zhu Liang Yu, Zhenghui Gu, et al.
Neurocomputing (2019) Vol. 358, pp. 10-19
Closed Access | Times Cited: 48
Predication of different stages of Alzheimer’s disease using neighborhood component analysis and ensemble decision tree
Mingwu Jin, Weishu Deng
Journal of Neuroscience Methods (2018) Vol. 302, pp. 35-41
Closed Access | Times Cited: 41
A Nonparametric Approach for Mild Cognitive Impairment to AD Conversion Prediction: Results on Longitudinal Data
Sidra Minhas, Aasia Khanum, Farhan Riaz, et al.
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 21, Iss. 5, pp. 1403-1410
Open Access | Times Cited: 39
Machine Learning-Based Framework for Differential Diagnosis Between Vascular Dementia and Alzheimer's Disease Using Structural MRI Features
Yineng Zheng, Haoming Guo, Lijuan Zhang, et al.
Frontiers in Neurology (2019) Vol. 10
Open Access | Times Cited: 39
A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging
Riyaj Uddin Khan, M. Tanveer, Ram Bilas Pachori
Expert Systems (2020) Vol. 38, Iss. 1
Closed Access | Times Cited: 34
Regression and Classification of Alzheimer’s Disease Diagnosis Using NMF-TDNet Features From 3D Brain MR Image
Huan Lao, Xuejun Zhang
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 3, pp. 1103-1115
Closed Access | Times Cited: 29
Voting Ensemble Approach for Enhancing Alzheimer’s Disease Classification
Subhajit Chatterjee, Yung-Cheol Byun
Sensors (2022) Vol. 22, Iss. 19, pp. 7661-7661
Open Access | Times Cited: 19
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI
Shicheng Wei, Wencheng Yang, Eugene Wang, et al.
Health Information Science and Systems (2025) Vol. 13, Iss. 1
Closed Access
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities
Liangliang Liu, Shaowu Chen, Xiaofeng Zhu, et al.
Neurocomputing (2019) Vol. 384, pp. 231-242
Closed Access | Times Cited: 33
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