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:

Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Sheng Liu, Arjun V. Masurkar, Henry Rusinek, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Review on Alzheimer Disease Detection Methods: Automatic Pipelines and Machine Learning Techniques
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Sci (2023) Vol. 5, Iss. 1, pp. 13-13
Open Access | Times Cited: 45
An explainable machine learning approach for Alzheimer’s disease classification
Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 34
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: 34
Emerging Trends in Deep Learning for Early Alzheimer's Disease Diagnosis and Classification: A Comprehensive Review
S. Gokul Amuthan, Naveen Kumar
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Prediction and Classification of Alzheimer’s Disease using Machine Learning Techniques in 3D MR Images
Kongala Nageswara Rao, Bakka Rajeev Gandhi, M Venkateswara Rao, et al.
(2023)
Closed Access | Times Cited: 41
Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine
Vivek Bhakta Mathema, Partho Sen, Santosh Lamichhane, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 1372-1382
Open Access | Times Cited: 39
Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI
Pierluigi Carcagnì, Marco Leo, Marco Del Coco, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1694-1694
Open Access | Times Cited: 38
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: 15
AI‐Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches
Pegah Khosravi, Saber Mohammadi, Fatemeh Zahiri, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 9
Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection
Louise Bloch, Christoph M. Friedrich
Computers in Biology and Medicine (2024) Vol. 170, pp. 108029-108029
Open Access | Times Cited: 9
New Convolutional Neural Network and Graph Convolutional Network-Based Architecture for AI Applications in Alzheimer’s Disease and Dementia-Stage Classification
Easin Hasan, Amy Wagler
AI (2024) Vol. 5, Iss. 1, pp. 342-363
Open Access | Times Cited: 9
A deep learning model for Alzheimer’s disease diagnosis based on patient clinical records
José Luis Ávila-Jiménez, Vanesa Cantón-Habas, María Pilar Carrera-González, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107814-107814
Open Access | Times Cited: 19
Research of spatial context convolutional neural networks for early diagnosis of Alzheimer’s disease
Yinsheng Tong, Zuoyong Li, Hui Huang, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 4, pp. 5279-5297
Closed Access | Times Cited: 17
Deep learning based computer aided diagnosis of Alzheimer’s disease: a snapshot of last 5 years, gaps, and future directions
Anish Bhandarkar, Pratham Naik, Kavita Vakkund, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 7
Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer’s Disease: A Comprehensive Review
Ghazala Hcini, Imen Jdey, Habib Dhahri
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access | Times Cited: 7
A deep learning-based early alzheimer’s disease detection using magnetic resonance images
S. Suchitra, K. Lalitha, R. J. Poovaraghan
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Learning‐Based Progression Detection of Alzheimer’s Disease Using 3D MRI Images
Jacky Chung‐Hao Wu, Tsai-Ju Chien, Chiung-Chih Chang, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
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
Joint ensemble learning-based risk prediction of Alzheimer's disease among mild cognitive impairment patients
Tianyuan Guan, Lei Shang, Peng Yang, et al.
The Journal of Prevention of Alzheimer s Disease (2025), pp. 100083-100083
Open Access
The Diagnostic Classification of the Pathological Image Using Computer Vision
Yasunari Matsuzaka, Ryu Yashiro
Algorithms (2025) Vol. 18, Iss. 2, pp. 96-96
Open Access
A Multidimensional Journey Through Neuroimaging and Advanced Machine Learning for Alzheimer’s Disease Diagnosis
Hardeep Kaur, Anil Kumar, Varinder Kaur Attri
Lecture notes in electrical engineering (2025), pp. 447-464
Closed Access
The impact of artificial intelligence in early disease detection: A review
Saniya Saratkar, Trupti Thute, A. Choudhari, et al.
AIP conference proceedings (2025) Vol. 3227, pp. 050006-050006
Closed Access
Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction
Xiang Liu, James Liang, Jianwei Zhang, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 265, pp. 108705-108705
Closed Access
Using Deep Learning Techniques for Predictive Analysis of Alzheimer's Disease Early Diagnosis
Arif Ali, Ritika Mehra
Lecture notes in networks and systems (2025), pp. 377-394
Closed Access
An Integrated Machine Learning Based Adaptive Error Minimization Framework for Alzheimer’s Stage Identification
Fahima Hossain, Rajib Kumar Halder, Mohammed Nasir Uddin
Intelligence-Based Medicine (2025), pp. 100243-100243
Open Access
Page 1 - Next Page

Scroll to top