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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:

A hybrid multimodal machine learning model for Detecting Alzheimer's disease
Jinhua Sheng, Qian Zhang, Qiao Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108035-108035
Closed Access | Times Cited: 14

Showing 14 citing articles:

Advancing multiple sclerosis diagnosis through an innovative hybrid AI framework incorporating Multi-view ResNet and quantum RIME-inspired metaheuristics
Mohamed G. Khattap, Mohammed Sallah, Abdelghani Dahou, et al.
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 2, pp. 103241-103241
Closed Access | Times Cited: 1
Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 7
Diagnosis of Alzheimer’s disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data
Luyun Wang, Jinhua Sheng, Qiao Zhang, et al.
Cerebral Cortex (2025)
Closed Access
Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages
Haozhe Xu, Jian Wang, Qianjin Feng, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103448-103448
Closed Access
A novel sand cat swarm optimization algorithm-based SVM for diagnosis imaging genomics in Alzheimer’s disease
Luyun Wang, Jinhua Sheng, Qiao Zhang, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 8
Closed Access | Times Cited: 2
Bridging the Gap
R. Ravi, T. P. Sridevi, N. Nirmala Devi, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 1-26
Closed Access | Times Cited: 1
A Predictive Sequence Filling Method using Protein Structures for Early Detection of Alzheimer Disease
Balamurugan A.G., N. Gomathi
Research Square (Research Square) (2024)
Open Access
Alzheimer's Disease Prediction Using Machine Learning
Kiran Preet Bedi, Archana Singh
(2024), pp. 549-552
Closed Access
A Review of Datasets, Optimization Strategies, and Learning Algorithms for Analyzing Alzheimer’s Dementia Detection
Vanaja Thulasimani, Kogilavani Shanmugavadivel, Jaehyuk Cho, et al.
Neuropsychiatric Disease and Treatment (2024) Vol. Volume 20, pp. 2203-2225
Open Access
Neuroimaging techniques, gene therapy, and gut microbiota: frontier advances and integrated applications in Alzheimer’s Disease research
Haitao Wang, Shi Chen, Ling Jiang, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access
Revolutionizing Brain Disease Diagnosis: The Convergence of AI, Genetic Screening, and Neuroimaging
Lichao Wang, Shanshan Li, Xin Jin
(2024), pp. 10-17
Closed Access
ViTBayesianNet: An adaptive deep bayesian network-aided alzheimer disease detection framework with vision transformer-based residual densenet for feature extraction using MRI images
Rajasekar Mohan, Rajesh Arunachalam, Neha Verma, et al.
Network Computation in Neural Systems (2024), pp. 1-41
Closed Access
MCBERT: A Multi-Modal Framework for the Diagnosis of Autism Spectrum Disorder
Kainat Khan, Rahul Katarya
Biological Psychology (2024), pp. 108976-108976
Closed Access
Intelligent Diagnosis and Progression Analysis of Alzheimer's Disease Using Machine Learning
Kexin Yu, Xin Luo
(2024), pp. 66-72
Closed Access
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