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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:

Voxel-Based Morphometry: Improving the Diagnosis of Alzheimer’s Disease Based on an Extreme Learning Machine Method from the ADNI cohort
Feng Zhang, Sijia Tian, Sipeng Chen, et al.
Neuroscience (2019) Vol. 414, pp. 273-279
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Artificial intelligence in brain MRI analysis of Alzheimer’s disease over the past 12 years: A systematic review
Tory O. Frizzell, Margit Glashutter, Careesa C. Liu, et al.
Ageing Research Reviews (2022) Vol. 77, pp. 101614-101614
Closed Access | Times Cited: 84
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
A comprehensive review on early detection of Alzheimer's disease using various deep learning techniques
I. Nagarajan, G. G. Lakshmi Priya
Frontiers in Computer Science (2025) Vol. 6
Open Access | Times Cited: 2
A review of the application of deep learning in the detection of Alzheimer's disease
Shuangshuang Gao, Dimas Lima
International Journal of Cognitive Computing in Engineering (2021) Vol. 3, pp. 1-8
Open Access | Times Cited: 65
A transfer learning approach for multiclass classification of Alzheimer's disease using MRI images
Rizwan Khan, Saeed Akbar, Atif Mehmood, et al.
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 27
A3C-TL-GTO: Alzheimer Automatic Accurate Classification Using Transfer Learning and Artificial Gorilla Troops Optimizer
Nadiah A. Baghdadi, Amer Malki, Hossam Magdy Balaha, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4250-4250
Open Access | Times Cited: 37
An Attention-Based 3D CNN With Multi-Scale Integration Block for Alzheimer's Disease Classification
Yuanchen Wu, Yuan Zhou, Weiming Zeng, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5665-5673
Closed Access | Times Cited: 35
Deep learning for Alzheimer prediction using brain biomarkers
Nitika Goenka, Shamik Tiwari
Artificial Intelligence Review (2021) Vol. 54, Iss. 7, pp. 4827-4871
Closed Access | Times Cited: 36
Texture feature-based machine learning classifier could assist in the diagnosis of COVID-19
Zhiyuan Wu, Li Li, Ronghua Jin, et al.
European Journal of Radiology (2021) Vol. 137, pp. 109602-109602
Open Access | Times Cited: 28
Unified multi-protocol MRI for Alzheimer’s disease diagnosis: Dual-decoder adversarial autoencoder and ensemble residual shrinkage attention network
Shiyao Li, Shukuan Lin, Yue Tu, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107660-107660
Closed Access
Gaussian discriminative component analysis for early detection of Alzheimer’s disease: A supervised dimensionality reduction algorithm
Chen Fang, Chunfei Li, Parisa Forouzannezhad, et al.
Journal of Neuroscience Methods (2020) Vol. 344, pp. 108856-108856
Open Access | Times Cited: 31
A CAD system design for Alzheimer's disease diagnosis using temporally consistent clustering and hybrid deep learning models
Pemmu. Raghavaiah, S. Varadarajan
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103571-103571
Closed Access | Times Cited: 16
Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier
Jinwang Feng, Shao‐Wu Zhang, Luonan Chen
Artificial Intelligence in Medicine (2020) Vol. 108, pp. 101940-101940
Open Access | Times Cited: 20
Multi-View Based Multi-Model Learning for MCI Diagnosis
Ping Cao, Jie Gao, Zuping Zhang
Brain Sciences (2020) Vol. 10, Iss. 3, pp. 181-181
Open Access | Times Cited: 13
Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction
Alireza Jomeiri, Ahmad Habibizad Navin, Mahboubeh Shamsi
Behavioural Brain Research (2024) Vol. 463, pp. 114900-114900
Closed Access | Times Cited: 1
CCADD: An Online Webserver for Alzheimer's Disease Detection from Brain MRI
Priyanka Panigrahi, Subhrangshu Das, Saikat Chakrabarti
Computers in Biology and Medicine (2024) Vol. 177, pp. 108622-108622
Closed Access | Times Cited: 1
Optimization Strategy of Classification Model Based on Weighted Implicit Optimal Extreme Learning Machine
Na Zhang, Xiaofeng Wang
IEEE Access (2024) Vol. 12, pp. 74169-74184
Open Access | Times Cited: 1
Detection of Alzheimer’s disease using Otsu thresholding with tunicate swarm algorithm and deep belief network
Praveena Ganesan, G. P. Ramesh, Przemysław Falkowski‐Gilski, et al.
Frontiers in Physiology (2024) Vol. 15
Open Access | Times Cited: 1
A Review on Machine Learning Approaches for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Based on Brain MRI
Helia Givian, Jean-Paul Calbimonte
IEEE Access (2024) Vol. 12, pp. 109912-109929
Open Access | Times Cited: 1
Editorial for “Preliminary Assessment of Intravoxel Incoherent Motion Diffusion‐Weighted MRI (IVIM‐DWI) Metrics in Alzheimer's Disease”
Ahmed Abdel Khalek Abdel Razek
Journal of Magnetic Resonance Imaging (2020) Vol. 52, Iss. 6, pp. 1827-1828
Closed Access | Times Cited: 10
Machine learning‐based tri‐stage classification of Alzheimer's progressive neurodegenerative disease usingPCAandmRMRadministered textural, orientational, and spatial features
Md. Razaul Karim, Ashef Shahrior, Mohammad Motiur Rahman
International Journal of Imaging Systems and Technology (2021) Vol. 31, Iss. 4, pp. 2060-2074
Closed Access | Times Cited: 8
Alzheimer Teşhisi için Derin Öğrenme Tabanlı Morfometrik Analiz
Selahattin Barış ÇELEBİ, Bülent Gürsel Emiroğlu
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2023) Vol. 13, Iss. 3, pp. 1454-1467
Open Access | Times Cited: 3
Leveraging Deep Learning for Enhanced Detection of Alzheimer’s Disease Through Morphometric Analysis of Brain Images
Selahattin Barış ÇELEBİ, Bülent Gürsel Emiroğlu
Traitement du signal (2023) Vol. 40, Iss. 4, pp. 1355-1365
Open Access | Times Cited: 3
A Machine Learning Based Early Diagnosis System for Mesothelioma Disease
Zehra Karapιnar Şentürk, Nagihan ÇEKİÇ
Düzce Üniversitesi Bilim ve Teknoloji Dergisi (2020) Vol. 8, Iss. 2, pp. 1604-1611
Open Access | Times Cited: 8
sefOri: selecting the best-engineered sequence features to predict DNA replication origins
Chenwei Lou, Jian Zhao, Ruoyao Shi, et al.
Bioinformatics (2019) Vol. 36, Iss. 1, pp. 49-55
Open Access | Times Cited: 7
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