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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:

An evolutionary explainable deep learning approach for Alzheimer's MRI classification
Shakila Shojaei, Mohammad Saniee Abadeh, Zahra Momeni
Expert Systems with Applications (2023) Vol. 220, pp. 119709-119709
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot
Loredana Caruccio, Stefano Cirillo, Giuseppe Polese, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121186-121186
Open Access | Times Cited: 82
Revolutionizing the Early Detection of Alzheimer’s Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning
Aristidis G. Vrahatis, Konstantina Skolariki, Marios G. Krokidis, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4184-4184
Open Access | Times Cited: 63
Accurate Detection of Alzheimer’s Disease Using Lightweight Deep Learning Model on MRI Data
Ahmed A. Abd El‐Latif, Samia Allaoua Chelloug, Maali Alabdulhafith, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1216-1216
Open Access | Times Cited: 47
Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 46
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: 37
Multimodal classification of Alzheimer's disease and mild cognitive impairment using custom MKSCDDL kernel over CNN with transparent decision-making for explainable diagnosis
V. Adarsh, G. R. Gangadharan, Ugo Fiore, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 23
Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning
Renfei He, Limao Zhang, Alvin Wei Ze Chew
Expert Systems with Applications (2023) Vol. 235, pp. 121160-121160
Closed Access | Times Cited: 38
Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It
Yasir Hafeez, Khuhed Memon, Maged S. Al-Quraishi, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 168-168
Open Access | Times Cited: 1
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 6
Alzheimer Disease Classification Using Deep Neural Network
Rezaul Haque, Md Babul Islam, Gunjan Chhabra, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 653-659
Closed Access | Times Cited: 15
Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning
Amol Dattatray Dhaygude, Gaurav Ameta, Ihtiram Raza Khan, et al.
CAAI Transactions on Intelligence Technology (2024) Vol. 9, Iss. 4, pp. 805-820
Open Access | Times Cited: 5
An Automated Multimodal Medical Image Fusion Framework for Alzheimer Detection using Deep Learning
S. Beatrice, Janaki Meena M, I. Dhivviyanandnam
Research Square (Research Square) (2025)
Closed Access
Early Detection of Alzheimer's Disease from MR Images Using Fine-Tuning Neighborhood Component Analysis and Convolutional Neural Networks
Öznur Özaltın
Arabian Journal for Science and Engineering (2025)
Open Access
An innovative approach to classify meniscus tears by reducing vision transformers features with elasticnet approach
Hakkı Murat Genç, Canan Koç, Esra Yüzgeç Özdemir, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Open Access
Deep learning frameworks for MRI-based diagnosis of neurological disorders: a systematic review and meta-analysis
Syed Saad Azhar Ali, Khuhed Memon, Norashikin Yahya, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Advanced convolutional neural network with attention mechanism for Alzheimer's disease classification using MRI
Shakhnoza Muksimova, Sabina Umirzakova, Nargiza Iskhakova, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110095-110095
Open Access
Rheumatoid arthritis classification and prediction by consistency-based deep learning using extremity MRI scans
Yanli Li, Tahereh Hassanzadeh, Denis P. Shamonin, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105990-105990
Open Access | Times Cited: 3
A comprehensive review of explainable AI for disease diagnosis
Al Amin Biswas
Array (2024) Vol. 22, pp. 100345-100345
Open Access | Times Cited: 3
A Modified Bio-Inspired Optimizer with Capsule Network for Diagnosis of Alzheimer Disease
Praveena Ganesan, G. P. Ramesh, C. Puttamdappa, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6798-6798
Open Access | Times Cited: 3
Alzheimer’s disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106721-106721
Closed Access | Times Cited: 2
ALSA-3: Customized CNN model through ablation study for Alzheimer's disease classification Type of article: Full length article.
Md Assaduzzaman, Monoronjon Dutta, Arpa Saha, et al.
Informatics in Medicine Unlocked (2024), pp. 101584-101584
Open Access | Times Cited: 2
UNVEILING THE DECISION MAKING PROCESS IN ALZHEIMER’S DISEASE DIAGNOSIS: A CASE-BASED COUNTERFACTUAL METHODOLOGY FOR EXPLAINABLE DEEP LEARNING
V. Adarsh, G. R. Gangadharan
Journal of Neuroscience Methods (2024) Vol. 413, pp. 110318-110318
Closed Access | Times Cited: 2
Early Alzheimer’s Disease Detection Using Deep Learning
Kokkula Lokesh, Nagendra Panini Challa, Abbaraju Sai Satwik, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2023) Vol. 9
Open Access | Times Cited: 5
Counterfactual condition diffusion with continuous prior adaptive correction for anomaly detection in multimodal brain MRI
Xue Chen, Yanjun Peng
Expert Systems with Applications (2024) Vol. 254, pp. 124295-124295
Closed Access | Times Cited: 1
Improving Alzheimer’s disease classification using novel rewards in deep reinforcement learning
Mahla Hatami, Farzin Yaghmaee, Reza Ebrahimpour
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106920-106920
Closed Access | Times Cited: 1
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