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:

Improved Alzheimer’s Disease Detection by MRI Using Multimodal Machine Learning Algorithms
Gopi Battineni, Mohammad Amran Hossain, Nalini Chintalapudi, et al.
Diagnostics (2021) Vol. 11, Iss. 11, pp. 2103-2103
Open Access | Times Cited: 51

Showing 1-25 of 51 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: 37

Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 4

Facial Features Detection System To Identify Children With Autism Spectrum Disorder: Deep Learning Models
Zeyad A. T. Ahmed, Theyazn H. H. Aldhyani, Mukti E. Jadhav, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 64

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

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: 11

Artificial Intelligence Models in the Diagnosis of Adult-Onset Dementia Disorders: A Review
Gopi Battineni, Nalini Chintalapudi, Mohammad Amran Hossain, et al.
Bioengineering (2022) Vol. 9, Iss. 8, pp. 370-370
Open Access | Times Cited: 29

Multi-feature computational framework for combined signatures of dementia in underrepresented settings
Sebastián Moguilner, Agustina Birba, Sol Fittipaldi, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 4, pp. 046048-046048
Open Access | Times Cited: 29

Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 512-538
Open Access | Times Cited: 17

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

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

Advancing Alzheimer’s detection: integrative approaches in MRI analysis with traditional and deep learning models
T. Vanaja, S. V. Kogilavani, Malliga Subramanian, et al.
Neural Computing and Applications (2025)
Closed Access

A review on multimodal machine learning in medical diagnostics
Keyue Yan, Tengyue Li, João Alexandre Lôbo Marques, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 8708-8726
Open Access | Times Cited: 12

Role of Artificial Intelligence in Multinomial Decisions and Preventative Nutrition in Alzheimer's Disease
Ariana Soares Dias Portela, Vrinda Saxena, Eric H. Rosenn, et al.
Molecular Nutrition & Food Research (2024) Vol. 68, Iss. 13
Open Access | Times Cited: 3

A LeViT–EfficientNet-Based Feature Fusion Technique for Alzheimer’s Disease Diagnosis
Abdul Rahaman Wahab Sait
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3879-3879
Open Access | Times Cited: 2

Dementia detection using parameter optimization for multimodal datasets
Swati Gupta, Jolly Parikh, Rachna Jain, et al.
Intelligent Decision Technologies (2024) Vol. 18, Iss. 1, pp. 343-369
Closed Access | Times Cited: 1

An Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer’s Disease Using UK Biobank
Weimin Meng, Rohit Inampudi, Xiang Zhang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review
Mahdieh Poodineh Moghadam, Zabih Allah Moghadam, Mohammad Reza Chalak Qazani, et al.
IEEE Access (2024) Vol. 12, pp. 122557-122587
Open Access | Times Cited: 1

Reinforcement-Learning-Based Localization of Hippocampus for Alzheimer’s Disease Detection
Aditya Raj, Golrokh Mirzaei
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3292-3292
Open Access | Times Cited: 4

A systematic literature review of machine learning approaches for class-wise recognition of Alzheimer’s disease using neuroimaging-based brain disorder analysis
Sarah Almatrafi, Qaisar Abbas, Mostafa E. A. Ibrahim
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

Alzheimer’ disease prediction and classification using CT images through machine learning
R. Akhilesh Reddy, Rama KRISHNA
Bratislavské lekárske listy/Bratislava medical journal (2023) Vol. 124, Iss. 05, pp. 337-344
Open Access | Times Cited: 2

An efficient GS-RBFN framework for early prediction and classification of ad
K. Haulath, K. P. Mohamed Basheer
Multimedia Tools and Applications (2024)
Closed Access

Classification of Dementia Detection Using Hybrid Neuro Multi-kernel SVM (NMKSVM)
A. V. Ambili, A. V. Senthil Kumar, Omar S. Saleh
Lecture notes in networks and systems (2024), pp. 289-298
Closed Access

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