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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:

Deep Learning-Based Diagnosis of Alzheimer’s Disease
Tausifa Jan Saleem, Syed Rameem Zahra, Fan Wu, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 815-815
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Classification of Alzheimer’s disease using MRI data based on Deep Learning Techniques
Shaymaa E. Sorour, Amr A. Abd El-Mageed, Khalied M. Albarrak, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101940-101940
Open Access | Times Cited: 36
AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 14
Automatic Analysis of MRI Images for Early Prediction of Alzheimer’s Disease Stages Based on Hybrid Features of CNN and Handcrafted Features
Khalid Ahmed, Ebrahim Mohammed Senan, Khalil AL-Wagih, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1654-1654
Open Access | Times Cited: 24
Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges
M. Tanveer, M. Sajid, Mushir Akhtar, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5477-5492
Closed Access | Times Cited: 10
A deep learning model for Alzheimer’s disease diagnosis based on patient clinical records
José Luis Ávila-Jiménez, Vanesa Cantón-Habas, María Pilar Carrera-González, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107814-107814
Open Access | Times Cited: 19
Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review
Ylermi Cabrera-León, Patricio García Báez, Pablo Fernández-López, et al.
Journal of Alzheimer s Disease (2024) Vol. 98, Iss. 3, pp. 793-823
Open Access | Times Cited: 5
Dual Attention Convolutional AutoEncoder for Diagnosis of Alzheimer’s Disorder in Patients Using Neuroimaging and MRI Features
Shaha Al‐Otaibi, Muhammad Mujahid, Amjad Rehman, et al.
IEEE Access (2024) Vol. 12, pp. 58722-58739
Open Access | Times Cited: 5
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern
M. Sajid, Rahul Sharma, Iman Beheshti, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 5
Closed Access | Times Cited: 5
Deep Learning for Alzheimer’s Disease Prediction: A Comprehensive Review
Isra Malik, Ahmed Iqbal, Yeong Hyeon Gu, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1281-1281
Open Access | Times Cited: 5
Exploring the Potential of Convolutional Neural Networks in Classifying Alzheimer’s Stages with Multi-biomarker Approach
Mohammed Al‐Zharani, Syed Immamul Ansarullah, Gowhar Mohi ud din dar, et al.
Deleted Journal (2025) Vol. 4, Iss. 1
Open Access
Deep Learning Based Model for Alzheimer's Disease Detection Using Brain MRI Images
Muntasir Mamun, Siam Bin Shawkat, Md Salim Ahammed, et al.
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2022), pp. 0510-0516
Closed Access | Times Cited: 26
Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA)
Adi Wijaya, Noor Akhmad Setiawan, Asma Hayati Ahmad, et al.
AIMS neuroscience (2023) Vol. 10, Iss. 2, pp. 154-171
Open Access | Times Cited: 15
Deep CNN-based Classification of Brain MRI Images for Alzheimer’s Disease Diagnosis
D. Dakshayani Himabindu, B. Pranalini, Mirtipati Satish Kumar, et al.
International Journal of experimental research and review (2024) Vol. 41, Iss. Spl Vol, pp. 43-54
Open Access | Times Cited: 5
Convolution Neural Networks for Disease Prediction: Applications and Challenges
Snowber Mushtaq, Omkar Singh
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 1, pp. 615-636
Open Access | Times Cited: 4
Alzheimer's disease classification for MRI images using Convolutional Neural Networks
Sara Esam, Ammar Mohammed
(2024) Vol. 12, pp. 01-05
Closed Access | Times Cited: 4
A Multi-Label Deep Learning Model for Detailed Classification of Alzheimer's Disease
Mei Yang, Yuanzhi Zhao, Haihang Yu, et al.
Actas Españolas de Psiquiatría (2025) Vol. 53, Iss. 1, pp. 89-99
Open Access
Classifying Mild Cognitive Impairment from Normal Cognition: fMRI Complexity Matches Tau PET Performance
Kay Jann, Gilsoon Park, Hosung Kim
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
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
Alzheimer’s Disease Classification using Hybrid Loss Psi-Net Segmentation and A New Hybrid Network Model
G Indhumathi, M. Palanivelan
Computational Biology and Chemistry (2025) Vol. 116, pp. 108375-108375
Closed Access
Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers
Kesheng Wang, Donald Adjeroh, Wei Fang, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 6, pp. 2428-2428
Open Access
AD-Diff: enhancing Alzheimer's disease prediction accuracy through multimodal fusion
Lei Han
Frontiers in Computational Neuroscience (2025) Vol. 19
Open Access
On Disharmony in Batch Normalization and Dropout Methods for Early Categorization of Alzheimer’s Disease
Ahsan Bin Tufail, Inam Ullah, Ateeq Ur Rehman, et al.
Sustainability (2022) Vol. 14, Iss. 22, pp. 14695-14695
Open Access | Times Cited: 20
Bacopa monnieri: A promising herbal approach for neurodegenerative disease treatment supported by in silico and in vitro research
Shehla Shoukat, Muhammad Amir Zia, Muhammad Uzair, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21161-e21161
Open Access | Times Cited: 11
The smart detection of neuro-pathological effects of alzheimer patients using neural networks
Bharatwaja Namatherdhala, Ashween Ganesh, Noori Memon, et al.
(2023), pp. 858-863
Closed Access | Times Cited: 11
Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease
Dan Pan, An Zeng, Baoyao Yang, et al.
Advanced Science (2022) Vol. 10, Iss. 6
Open Access | Times Cited: 16
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