Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Mohammed Alsubaie, Suhuai Luo, Kamran Shaukat
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 464-505
Open Access | Times Cited: 20

Showing 20 citing articles:

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
Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
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 detection and classification using optimized neural network
Nair Bini Balakrishnan, Anitha S. Pillai, Jisha Jose Panackal, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109810-109810
Closed Access
Progress and trends in neurological disorders research based on deep learning
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102400-102400
Closed Access | Times Cited: 5
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: 4
Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development
Amisha S. Raikar, J.H. Andrew, Pranjali Prabhu Dessai, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 4
ConvADD: Exploring a Novel CNN Architecture for Alzheimer's Disease Detection
Mohammed Alsubaie, Suhuai Luo, Kamran Shaukat
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 3
Segmentation and detection of skin cancer using deep learning-enabled artificial Namib beetle optimization
N. Raghava Rao, D. Vasumathi
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106605-106605
Closed Access | Times Cited: 2
Multistage transfer learning for medical images
Gelan Ayana, Kokeb Dese, Ahmed Mohammed Abagaro, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 2
Multi-classifier approach to detect Alzheimer's Disease based on Handwriting Analysis
Jatan K. Dadhania, Abhilasha Chaudhuri
(2024), pp. 612-617
Closed Access
Case Studies and Real-World Application of Deep Generative Models in Alzheimer's Research
Manoj Kumar Pandey, Triveni Lal Pal, Priyanka Gupta
Advances in bioinformatics and biomedical engineering book series (2024), pp. 341-360
Closed Access
DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection
Hatice Çatal Reis, Veysel Turk
Pattern Recognition (2024) Vol. 159, pp. 111182-111182
Closed Access
Exploring EEG-Based Biomarkers for Improved Early Alzheimer's Disease Detection: A Feature-Based Approach Utilizing Machine Learning
Hemlata Ohal, Shamla Mantri
Measurement Sensors (2024) Vol. 36, pp. 101403-101403
Open Access
Deep Learning-Based Diagnosis Algorithm for Alzheimer’s Disease
Zhenyu Jin, Junhua Gong, Minghui Deng, et al.
Journal of Imaging (2024) Vol. 10, Iss. 12, pp. 333-333
Open Access
Leveraging Multimodal Models for Enhanced Neuroimaging Diagnostics in Alzheimer’s Disease
Francesco Chiumento, Mingming Liu
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3898-3907
Closed Access
Machine Learning driven by MRI for the classification of Alzheimer's disease progression: systematic review and meta-analysis (Preprint)
Gopi Battineni, Nalini Chintalapudi, Francesco Amenta
(2024)
Closed Access
DCA-Enhanced Alzheimer’s detection with shearlet and deep learning integration
Sadiq Alinsaif
Computers in Biology and Medicine (2024) Vol. 185, pp. 109538-109538
Closed Access
Accurate and Efficient Algorithm for Detection of Alzheimer Disability Based on Deep Learning
Fayez Alfayez, S. Rozov, Mohamed S. El Tokhy
Cellular Physiology and Biochemistry (2024) Vol. 58, Iss. 6, pp. 739-755
Open Access
Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis
Gopi Battineni, Nalini Chintalapudi, Francesco Amenta
JMIR Aging (2024) Vol. 7, pp. e59370-e59370
Open Access
Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis
Kumar Padmapriya, Ezhumalai Periyathambi
PeerJ Computer Science (2024) Vol. 10, pp. e2538-e2538
Open Access
Page 1

Scroll to top