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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 26-50 of 78 citing articles:

Novel Deep-Learning Approach for Automatic Diagnosis of Alzheimer’s Disease from MRI
Omar Altwijri, Reem Alanazi, Adham Aleid, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13051-13051
Open Access | Times Cited: 9
Deep learning analysis of UPLC-MS/MS-based metabolomics data to predict Alzheimer's disease
Kesheng Wang, Laurie A. Theeke, Christopher Liao, et al.
Journal of the Neurological Sciences (2023) Vol. 453, pp. 120812-120812
Open Access | Times Cited: 8
Deep-Learning-Based System for Assisting People with Alzheimer’s Disease
Dan Munteanu, Catalina Bejan, Nicoleta Munteanu, et al.
Electronics (2022) Vol. 11, Iss. 19, pp. 3229-3229
Open Access | Times Cited: 13
Alzheimer’s disease diagnosis using deep learning techniques: datasets, challenges, research gaps and future directions
Asifa Nazir, Assif Assad, Ahsan Hussain, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access | Times Cited: 2
Artificial Intelligence, the Digital Surgeon: Unravelling Its Emerging Footprint in Healthcare – The Narrative Review
Zifang Shang, Varun Chauhan, Kirti Devi, et al.
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 4011-4022
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
DeepAD: A deep learning application for predicting amyloid standardized uptake value ratio through PET for Alzheimer's prognosis
Sucheer Maddury, Krish Desai
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 6
Dual Semi-Supervised Learning for Classification of Alzheimer’s Disease and Mild Cognitive Impairment Based on Neuropsychological Data
Yan Wang, Xuming Gu, Wenju Hou, et al.
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 306-306
Open Access | Times Cited: 6
Zoom-In Neural Network Deep-Learning Model for Alzheimer’s Disease Assessments
Bohyun Wang, Joon S. Lim
Sensors (2022) Vol. 22, Iss. 22, pp. 8887-8887
Open Access | Times Cited: 8
Proteomics As A Valid Tool In Biomarker Discovery For Alzheimer's Disease
Valeria Magnelli
(2024)
Open Access | Times Cited: 1
Comparative Analysis of CNN and Different R-CNN based Model for Prediction of Alzheimer’s Disease
S. Roobini, M.S. Kavitha, S. Karthik
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 1
Genetic algorithm-based hybrid deep learning model for explainable Alzheimer’s disease prediction using temporal multimodal cognitive data
Hager Saleh, Nora El-Rashidy, Mohamed Abd Elaziz, et al.
International Journal of Data Science and Analytics (2024)
Open Access | Times Cited: 1
Alzheimer’s Disease Detection using Deep Learning Algorithm
F. Hussain, R. Kingsly Stephen, N.P. Aditya, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1531-1536
Closed Access | Times Cited: 1
Classification and removal of hazy images based on a transmission fusion strategy using the Alexnet network
Roa’a M. Al airaji, Haider TH. Salim ALRikabi, Rula Kamil
Karbala International Journal of Modern Science (2024) Vol. 10, Iss. 2
Open Access | Times Cited: 1
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
A review of artificial intelligence-based brain age estimation and its applications for related diseases
Mohamed Azzam, Ziyang Xu, Ruobing Liu, et al.
Briefings in Functional Genomics (2024)
Open Access | Times Cited: 1
Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis
M Oliveira, Pedro Ribeiro, Pedro Rodrigues
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1153-1153
Open Access | Times Cited: 1
A Study on Machine Learning Models in Detecting Cognitive Impairments in Alzheimer’s Patients Using Cerebrospinal Fluid Biomarkers
V. Tiwari, Premananda Indic, Shawana Tabassum
American Journal of Alzheimer s Disease & Other Dementias® (2024) Vol. 39
Open Access | Times Cited: 1
MCI Conversion Prediction Using 3D Zernike Moments and the Improved Dynamic Particle Swarm Optimization Algorithm
Pouya Bolourchi, Mohammadreza Gholami, Masoud Moradi, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4489-4489
Open Access | Times Cited: 4
A Novel Method for Diagnosing Alzheimer’s Disease from MRI Scans using the ResNet50 Feature Extractor and the SVM Classifier
Farhana Islam, Md. Habibur Rahman, Nurjahan, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
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
A systematic review on recent methods on deep learning for automatic detection of alzheimer’s disease
Radhakrishna Chamakuri, Hyma Janapana
Medicine in Novel Technology and Devices (2024), pp. 100343-100343
Open Access | Times Cited: 1
Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer’s Disease Diagnosis from MRI Scans
M.J. Khatun, Md. Manowarul Islam, Habibur Rahman Rifat, et al.
(2023), pp. 1-6
Open Access | Times Cited: 3
Early Detection of Alzheimer's disease by using the Latest Techniques
Shmmon Ahmad, Moh Aijaz, Mumtaz Ahmad, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 2
Early Stage Detection of Alzheimer's using Hybrid Artificial Intelligence Model: A Review
Mrutyunjaya S. Hiremath, Rajashekhar C. Biradar
(2023), pp. 1-6
Closed Access | Times Cited: 2

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