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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:

Transfer Learning for Alzheimer’s Disease through Neuroimaging Biomarkers: A Systematic Review
Deevyankar Agarwal, Gonçalo Marques, Isabel de la Torre Díez, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7259-7259
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Transfer learning for medical image classification: a literature review
Kim Eun Hee, Alejandro Cosa‐Linan, Nandhini Santhanam, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 499
A deep learning based convolutional neural network model with VGG16 feature extractor for the detection of Alzheimer Disease using MRI scans
Shagun Sharma, Kalpna Guleria, Sunita Tiwari, et al.
Measurement Sensors (2022) Vol. 24, pp. 100506-100506
Open Access | Times Cited: 109
The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics?
Sagar S. Arya, Sofia B. Dias, Herbert F. Jelinek, et al.
Biosensors and Bioelectronics (2023) Vol. 235, pp. 115387-115387
Open Access | Times Cited: 47
Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer’s Disease
Tanjim Mahmud, Koushick Barua, Anik Barua, et al.
Lecture notes in computer science (2023), pp. 109-120
Closed Access | Times Cited: 45
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: 25
Investigating the Impact of Train / Test Split Ratio on the Performance of Pre-Trained Models with Custom Datasets
Houda Bichri, Adil Chergui, Mustapha Hain
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access | Times Cited: 18
Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review
Zaniar Ardalan, Vignesh Subbian
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 38
A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease
Arshdeep Kaur, Meenakshi Mittal, Jasvinder Singh Bhatti, et al.
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102928-102928
Closed Access | Times Cited: 13
Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer’s Disease
Noushath Shaffi, S. Karthikeyan, Vimbi Viswan, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 07
Closed Access | Times Cited: 11
Deep learning methods for early detection of Alzheimer’s disease using structural MR images: a survey
Sonia Ben Hassen, Mohamed Néji, Zain Hussain, et al.
Neurocomputing (2024) Vol. 576, pp. 127325-127325
Closed Access | Times Cited: 10
From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care
Masaru Tanaka
Biomedicines (2025) Vol. 13, Iss. 1, pp. 167-167
Open Access | Times Cited: 1
A review on Alzheimer’s disease classification from normal controls and mild cognitive impairment using structural MR images
Neha Garg, Mahipal Singh Choudhry, Rajesh M. Bodade
Journal of Neuroscience Methods (2022) Vol. 384, pp. 109745-109745
Closed Access | Times Cited: 34
Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model
Xiaoling Ma, Liming Xia, Jun Chen, et al.
European Radiology (2022) Vol. 33, Iss. 3, pp. 1949-1962
Closed Access | Times Cited: 32
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
A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer’s disease using neuroimaging
Xinze Xu, Lan Lin, Shen Sun, et al.
Reviews in the Neurosciences (2023) Vol. 34, Iss. 6, pp. 649-670
Closed Access | Times Cited: 20
Optimising brain age estimation through transfer learning: A suite of pre‐trained foundation models for improved performance and generalisability in a clinical setting
David Wood, Matthew Townend, Emily Guilhem, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 4
Open Access | Times Cited: 7
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: 6
Medical image identification methods: A review
Juan Li, Pan Jiang, Qing An, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107777-107777
Closed Access | Times Cited: 14
Transfer Learning and Neural Network-Based Approach on Structural MRI Data for Prediction and Classification of Alzheimer’s Disease
Farideh Momeni, Daryoush Shahbazi‐Gahrouei, Tahereh Mahmoudi, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 360-360
Open Access
Towards Clinical Diagnoses: Classifying Alzheimer's Disease Using Single fMRI, Small Datasets, and Transfer Learning
Samuel L. Warren, Ahmed A. Moustafa
Brain and Behavior (2025) Vol. 15, Iss. 3
Open Access
Repurposing drugs against Alzheimer’s disease: can the anti-multiple sclerosis drug fingolimod (FTY720) effectively tackle inflammation processes in AD?
Volkmar Leßmann, Georgia-Ioanna Kartalou, Thomas Endres, et al.
Journal of Neural Transmission (2023) Vol. 130, Iss. 8, pp. 1003-1012
Open Access | Times Cited: 12
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: 4
Navigating Early Alzheimer's Diagnosis: A Comprehensive Review of Diagnostic Innovations
Anup Juganavar, Abhishek Joshi, Tejas Shegekar
Cureus (2023)
Open Access | Times Cited: 10
Innovative Strategies for Early Autism Diagnosis: Active Learning and Domain Adaptation Optimization
Mohammad Shafiul Alam, Elfatih A. A. Elsheikh, F. M. Suliman, et al.
Diagnostics (2024) Vol. 14, Iss. 6, pp. 629-629
Open Access | Times Cited: 3
Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
Ovidijus Grigas, Rytis Maskeliūnas, Robertas Damaševičius
Health and Technology (2024) Vol. 14, Iss. 2, pp. 201-237
Closed Access | Times Cited: 3
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