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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 Approaches for Neuroimaging Analysis: A Scoping Review
Zaniar Ardalan, Vignesh Subbian
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review
Zhen Zhao, Joon Huang Chuah, Khin Wee Lai, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 65
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
Benchmarking the influence of pre-training on explanation performance in MR image classification
Marta Oliveira, Rick Wilming, Benedict Clark, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 6
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: 6
Optimized models and deep learning methods for drug response prediction in cancer treatments: a review
Wesam Ibrahim Hajim, Suhaila Zainudin, Kauthar Mohd Daud, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1903-e1903
Open Access | Times Cited: 5
Neuroimage analysis using artificial intelligence approaches: a systematic review
Eric Jacob Bacon, Dianning He, N'bognon Angèle D'avilla Achi, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2599-2627
Closed Access | Times Cited: 5
Detection of Leaf Diseases in Banana Crops Using Deep Learning Techniques
N. Jiménez, Stefany Orellana, Bertha Mazón-Olivo, et al.
AI (2025) Vol. 6, Iss. 3, pp. 61-61
Open Access
Large-scale foundation models and generative AI for BigData neuroscience
Ran Wang, Zhe Chen
Neuroscience Research (2024)
Open Access | Times Cited: 4
Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study
Hikaru Ooba, Jota Maki, Hisashi Masuyama
Discover Mental Health (2025) Vol. 5, Iss. 1
Open Access
Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models
Chia‐Yen Yang, Pin-Chen Chen, Wen-Chen Huang
Sensors (2023) Vol. 23, Iss. 5, pp. 2458-2458
Open Access | Times Cited: 10
Domain and Histopathology Adaptations–Based Classification for Malignancy Grading System
Vicky Mudeng, Mifta Nur Farid, Gelan Ayana, et al.
American Journal Of Pathology (2023) Vol. 193, Iss. 12, pp. 2080-2098
Closed Access | Times Cited: 7
Adaptive learning for soil classification in laser-induced breakdown spectroscopy streaming
Yingchao Huang, Shubho Mohajan, N. F. Beier, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 7, pp. 3714-3727
Closed Access | Times Cited: 2
Applications of artificial intelligence in magnetic resonance imaging of primary pediatric cancers: a scoping review and CLAIM score assessment
Brian Tsang, Aaryan Gupta, Marcelo Straus Takahashi, et al.
Japanese Journal of Radiology (2023) Vol. 41, Iss. 10, pp. 1127-1147
Closed Access | Times Cited: 6
Deep learning and deep phenotyping of HD iPSCs: Applications to study biology and test therapeutics
Steven Finkbeiner
Elsevier eBooks (2024), pp. 473-498
Closed Access | Times Cited: 1
Integrated End-to-End Automatic Speech Recognition for Languages for Agglutinative Languages
A. Bekarystankyzy, Оrken Mamyrbayev, Tolganay Anarbekova
ACM Transactions on Asian and Low-Resource Language Information Processing (2024) Vol. 23, Iss. 6, pp. 1-17
Open Access | Times Cited: 1
Negligible effect of brain MRI data preprocessing for tumor segmentation
Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106599-106599
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
Novel Framework for Alzheimer Early Diagnosis using Inductive Transfer Learning Techniques
Himanshu Kumar Sahu, Santosh Kumar, Saeed Hamood Alsamhi, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 7
A real-time automated bone age assessment system based on the RUS-CHN method
Yang Chen, Wei Dai, Bin Qin, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 3
Intelligent Online Sensing of Defects Evolution in Metallic Materials during Plastic Deformation
Xuefeng Tang, Chuanyue He, Wentian Guo, et al.
Advanced Intelligent Systems (2023) Vol. 6, Iss. 3
Open Access | Times Cited: 3
Research on Spider Recognition Technology Based on Transfer Learning and Attention Mechanism
Jianming Wang, Qiyu Chen, Chenyang Shi
Symmetry (2023) Vol. 15, Iss. 9, pp. 1727-1727
Open Access | Times Cited: 3
A robust class decomposition-based approach for detecting Alzheimer’s progression
Maha M. Alwuthaynani, Zahraa S. Abdallah, Raúl Santos‐Rodríguez
Experimental Biology and Medicine (2023)
Open Access | Times Cited: 3
Predicting Brain Age Using Transferable Covariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 2
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer’s Disease
Maha M. Alwuthaynani, Zahraa S. Abdallah, Raúl Santos‐Rodríguez
Studies in computational intelligence (2023), pp. 163-174
Closed Access | Times Cited: 2
Strengthening deep-learning models for intracranial hemorrhage detection: strongly annotated computed tomography images and model ensembles
Dong‐Wan Kang, Gi-Hun Park, Wi‐Sun Ryu, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 2
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