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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 Techniques for the Effective Prediction of Alzheimer’s Disease: A Comprehensive Review
K. Aditya Shastry, V. Vijayakumar, Manoj Kumar M V, et al.
Healthcare (2022) Vol. 10, Iss. 10, pp. 1842-1842
Open Access | Times Cited: 17

Showing 17 citing articles:

Machine learning for human emotion recognition: a comprehensive review
Eman M. G. Younis, Someya Mohsen, Essam H. Houssein, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 8901-8947
Open Access | Times Cited: 8
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
Deep learning for personalized health monitoring and prediction: A review
Robertas Damaševičius, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.
Computational Intelligence (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 5
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
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
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
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
Deep Learning for Personalized Health Monitoring and Prediction: A Review
Kandala N. V. P. S. Rajesh, Robertas Damaševicˇius, Senthil Kumar Jagatheesaperumal, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 2
Deep Learning and AI for Alzheimer’s Disease Prediction
Shivangi Gagneja, Bhavneet Kaur, Ruchika Gupta, et al.
(2024), pp. 1-6
Closed Access
Multimodal Neuroimaging Fusion for Alzheimer's Disease: An Image Colorization Approach With Mobile Vision Transformer
Modupe Odusami, Robertas Damaševičius, Egle Milieškaitė-Belousovienė, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Closed Access
Prevention, Intervention and Care of Neurodegenerative Diseases
Christos Bakirtzis, Marina Boziki, Nikolaos Grigoriadis
Healthcare (2023) Vol. 11, Iss. 16, pp. 2349-2349
Open Access | Times Cited: 1
A Review of Alzheimer’s Disease and Inflammation: Pathogenesis, Inflammatory Processes, and Novel Insights from the Artificial Intelligence Perspective
Bipin Patel, Robert Walker, Marco Capó, et al.
Medical Research Archives (2023) Vol. 11, Iss. 7.2
Open Access
Analysis and Application of Regression Models to ICU Patient Monitoring
Sergio Celada-Bernal, Carlos M. Travieso, Guillermo Pérez-Acosta, et al.
Studies in computational intelligence (2023), pp. 301-318
Closed Access
Alzheimers disease course prediction methods based on deep learning methods
Bingyi Zhang
Theoretical and Natural Science (2023) Vol. 22, Iss. 1, pp. 157-163
Open Access
Enhancing Alzheimer's Disease Prediction with Bayesian Optimization and Ensemble Methods
Disha Sushant Wankhede, Nuvita Kalra, Ritika Dhabliya, et al.
(2023), pp. 1-6
Closed Access
Health Prediction With Big Data and Convolutional Neural Networks
Lì Jiāng, Carrie Y. Peterson
(2022)
Open Access
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