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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 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

Showing 1-25 of 27 citing articles:

RESNET-53 for Extraction of Alzheimer’s Features Using Enhanced Learning Models
Rama Lakshmi Boyapati, Radhika YALAVAR
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 23
Deep learning-based approach for multi-stage diagnosis of Alzheimer’s disease
L. Srividhya, V. Sowmya, Vinayakumar Ravi, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 16799-16822
Closed Access | Times Cited: 11
Detection of Alzheimer’s disease using pre-trained deep learning models through transfer learning: a review
Maleika Heenaye-Mamode Khan, Pushtika Reesaul, Muhammad Muzzammil Auzine, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 4
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection
Sofia Biju Francis, J. P. Verma
Frontiers in Neuroinformatics (2025) Vol. 18
Open Access
Shedding Light on Diagnostic Precision: GANs for Low Light Endoscopy Image Enhancements
Muhammad Asif, Hong Song, Muhammad Azam Zia, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated drug usage and AT(N) protein biomarkers
Afreen Khan, Swaleha Zubair, Mohammed Shuaib, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Improving Alzheimer’s Disease Classification in Brain MRI Images Using a Neural Network Model Enhanced with PCA and SWLDA
Irshad Ahmad, Muhammad Hameed Siddiqi, S. Alhujaili, et al.
Healthcare (2023) Vol. 11, Iss. 18, pp. 2551-2551
Open Access | Times Cited: 6
Enhancing Early Dementia Detection: A Machine Learning Approach Leveraging Cognitive and Neuroimaging Features for Optimal Predictive Performance
Muhammad Irfan, Seyed Shahrestani, Mahmoud Elkhodr
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10470-10470
Open Access | Times Cited: 4
Transfer Learning for Alzheimer's Disease Diagnosis from MRI Slices: A Comparative Study of Deep Learning Models
Georgiana Ingrid Stoleru, Adrian Iftene
Procedia Computer Science (2023) Vol. 225, pp. 2614-2623
Open Access | Times Cited: 4
Enhancing Alzheimer’s Disease Detection through Ensemble Learning of Fine-Tuned Pre-Trained Neural Networks
Oğuzhan Topsakal, Swetha Lenkala
Electronics (2024) Vol. 13, Iss. 17, pp. 3452-3452
Open Access | Times Cited: 1
Unveiling Alzheimer’s Disease Early: A Comprehensive Review of Machine Learning and Imaging Techniques
Wided Hechkel, Abdelhamid Helali
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 1
Toward an intelligent computing system for the early diagnosis of Alzheimer’s disease based on the modular hybrid growing neural gas
Ylermi Cabrera-León, Pablo Fernández-López, Patricio García Báez, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks
Houmem Slimi, Ala Balti, Sabeur Abid, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Deep and hand-crafted features based on Weierstrass elliptic function for MRI brain tumor classification
Ibtisam Aldawish, Hamid A. Jalab
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access
Implications of Convolutional Neural Network for Brain MRI Image Classification to Identify Alzheimer’s Disease
Ananya Yakkundi, R. Gupta, Kokila Ramesh, et al.
Parkinson s Disease (2024) Vol. 2024, Iss. 1
Open Access
Innovative Solutions for Cervical Cancer: Deep Learning Models for Accurate Stage Prediction
Roshan Kumar Yadav, Divyam Kumar, Kalyani Kadam, et al.
(2024) Vol. 35, pp. 1-10
Closed Access
Data Complexity-Based Evaluation Using Brain Magnetic Resonance Images to Determine Alzheimer’s Disease
Pankaj Kumar
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 1, pp. 26-37
Open Access
MSFNet‐2SE: A multi‐scale fusion convolutional network for Alzheimer's disease classification on magnetic resonance images
Liwen Zhang, Rongwei Xia, Baiyang Yang, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Closed Access
Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis
Atif Mehmood, Zhonglong Zheng, Rizwan Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 2, pp. 2081-2098
Open Access
A HybridOpt approach for early Alzheimer’s Disease diagnostics with Ant Lion Optimizer (ALO)
A. Sasithradevi, Chanthini Baskar, S. Shoba
Alexandria Engineering Journal (2024) Vol. 109, pp. 112-125
Open Access
Alzheimer's Disease Prediction Using InceptionResNet Integrating Deep Learning Models
M. Jenath, Y. Sri Lalitha, A. M. Vidhyalakshmi, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 415-432
Closed Access
DenseIncepS115: a novel network-level fusion framework for Alzheimer's disease prediction using MRI images
Fatima Rauf, Muhammad Attique Khan, Ghassen Ben Brahim, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Performance Comparison Between Different Per-trained Models with Resnet-53 Using MRI and PET Scan Alzheimer’s Disease Image Dataset
Rama Lakshmi Boyapati, Radhika Yalavarthi
International Journal of experimental research and review (2024) Vol. 46, pp. 85-99
Closed Access
Utilizing 3D magnetic source imaging with landmark-based features and multi-classification for Alzheimer’s Disease diagnosis
Amer Al‐Rahayfeh, Saleh Atiewi, Muder Almiani, et al.
Cluster Computing (2023) Vol. 27, Iss. 3, pp. 2635-2651
Closed Access | Times Cited: 1
A Review on Alzheimer’s Disease Detection using Machine Learning
Deepthi K Moorthy, P. Nagaraj, S. Subhashini
(2023), pp. 573-581
Closed Access | Times Cited: 1
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