Open Access Helper

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 Survey of Deep Learning for Alzheimer’s Disease
Qinghua Zhou, Jiaji Wang, Xiang Yu, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 611-668
Open Access | Times Cited: 22

Showing 22 citing articles:

A review of deep learning in dentistry
Chenxi Huang, Jiaji Wang, Shuihua Wang‎, et al.
Neurocomputing (2023) Vol. 554, pp. 126629-126629
Open Access | Times Cited: 42
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education
Danial Hooshyar, Roger Azevedo, Yeongwook Yang
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 593-618
Open Access | Times Cited: 7
Advancing the Frontier: Neuroimaging Techniques in the Early Detection and Management of Neurodegenerative Diseases
Ahmed S Akram, Han Grezenko, Prem Singh, et al.
Cureus (2024)
Open Access | Times Cited: 5
AlzONet: a deep learning optimized framework for multiclass Alzheimer’s disease diagnosis using MRI brain imaging
Hiba A. Alahmed, Ghaida A. Al–Suhail
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Comparative Performance Analysis of ML Models for AD Diagnosis: Using Clinical and Cognitive Assessment Data
Manasi Maridevarmath, Shreya Dugani, Uddhav Mense, et al.
Transactions of Indian National Academy of Engineering (2025)
Closed Access
Automated classification of Alzheimer's disease based on deep belief neural networks
K. Nanthini, A. Tamilarasi, D. Sivabalaselvamani, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 13, pp. 7405-7419
Closed Access | Times Cited: 2
Applications of deep learning in Alzheimer’s disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions
Shiva Toumaj, Arash Heidari, Reza Shahhosseini, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access | Times Cited: 2
Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram
J. C. Sekhar, C. Rajyalakshmi, S. Nagaraj, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101848-101848
Open Access | Times Cited: 2
Alzheimer's detection by Artificial Bee Colony and Convolutional Neural Network at Mobile Environment
Dan Shan, Fanfeng Shi, Tianzhi Le
Mobile Networks and Applications (2024)
Closed Access
A Comparative Survey of Machine Learning Approaches for Alzheimer’s Disease Prediction and Detection
M. V. Shilka, R. Subhashini
(2024), pp. 1-6
Closed Access
Comparative Study of Machine Learning Algorithms
Mohammed Abdulhakim Al-Absi, Hind R’bigui, Mangal Sain, et al.
Lecture notes in networks and systems (2024), pp. 121-133
Closed Access
Next-Gen Language Mastery: Exploring Advances in Natural Language Processing Post-transformers
Mily Lal, Manisha Bhende, Swati Sharma, et al.
Lecture notes in networks and systems (2024), pp. 453-469
Closed Access
Artificial Intelligence: Current and Future Role in Veterinary and Public Medicine
Mohamed Amer, Aziza M. Amer, khaked Mohamed El-bayoumi
Egyptian Journal of Veterinary Science (2024), pp. 1-12
Open Access
Deep Learning Approaches for Early Prediction of Conversion from MCI to AD using MRI and Clinical Data: A Systematic Review
Gelareh Valizadeh, Reza Elahi, Zahra Hasankhani, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access
Machine learning applications in Alzheimer’s disease research: a comprehensive analysis of data sources, methodologies, and insights
Zahra Rezaie, Yaser M. Banadaki
International Journal of Data Science and Analytics (2024)
Closed Access
Alzheimer’s Disease Classification Using Vision Transformer
Maria Achary, Siby Abraham
Algorithms for intelligent systems (2024), pp. 561-583
Closed Access
Artificial Intelligence for Alzheimer’s Disease Detection: Enhancing Biomarker Analysis and Diagnostic Precision
Richa Gupta, Zoya Iftekhar
(2024), pp. 25-25
Open Access
Graph Learning and Deep Neural Network Ensemble for Supporting Cognitive Decline Assessment
Gabriel Antonesi, Alexandru Rancea, Tudor Cioara, et al.
Technologies (2023) Vol. 12, Iss. 1, pp. 3-3
Open Access | Times Cited: 1
E-learning for Alzheimer's Disease
Mengyao Zhao
ICST Transactions on e-Education and e-Learning (2023) Vol. 9
Open Access
Classification of Alzheimer’s Disease from Cranial MRI Images Using Transfer Learning
Christian Immanuel C. Ella, Ma. Sheila A. Magboo, Vincent Peter C. Magboo
(2023), pp. 1-6
Closed Access
Graph Convolutional Networks For Disease Mapping and Classification in Healthcare
Rakesh Kumar, Devvret Verma, J. Relin Francis Raj, et al.
(2023), pp. 1-7
Closed Access
Multi-Modal Medical Image Fusion for Enhanced Diagnosis using Deep Learning in the Cloud
B Chaitanya, P Naga Lakshmi Devi, Sorabh Lakhanpal, et al.
(2023), pp. 1-7
Closed Access
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