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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 Relation Learning for Regression and Its Application to Brain Age Estimation
Sheng He, Yanfang Feng, P. Ellen Grant, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2304-2317
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Deep learning for brain age estimation: A systematic review
M. Tanveer, M. A. Ganaie, Iman Beheshti, et al.
Information Fusion (2023) Vol. 96, pp. 130-143
Open Access | Times Cited: 80
BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (BONBID-HIE): I. MRI and Lesion Labeling
Rina Bao, Yanan Song, Sara V. Bates, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Is Attention all You Need in Medical Image Analysis? A Review
Giorgos Papanastasiou, Νικόλαος Δικαίος, Jiahao Huang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1398-1411
Open Access | Times Cited: 17
Predicting the age of field Anopheles mosquitoes using mass spectrometry and deep learning
Noshine Mohammad, Pauline Naudion, Abdoulaye Kane Dia, et al.
Science Advances (2024) Vol. 10, Iss. 19
Open Access | Times Cited: 7
An ensemble deep learning approach for air quality estimation in Delhi, India
Anju S. Mohan, Lizy Abraham
Earth Science Informatics (2024) Vol. 17, Iss. 3, pp. 1923-1948
Open Access | Times Cited: 5
BASE: Brain Age Standardized Evaluation
Lara Dular, Žiga Špiclin
NeuroImage (2023) Vol. 285, pp. 120469-120469
Open Access | Times Cited: 11
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data
Robert Graf, Florian Hunecke, Stefan Pohl, et al.
Lecture notes in computer science (2025), pp. 79-88
Closed Access
Enhancing Brain Age Estimation Under Uncertainty: A Spectral-normalized Neural Gaussian Process Approach Utilizing 2.5D Slicing
Zeqiang Linli, Xingcheng Liang, Zhenhua Zhang, et al.
NeuroImage (2025), pp. 121184-121184
Open Access
OTFPF: Optimal transport based feature pyramid fusion network for brain age estimation
Yu Fu, Yanyan Huang, Zhe Zhang, et al.
Information Fusion (2023) Vol. 100, pp. 101931-101931
Closed Access | Times Cited: 9
A ResNet mini architecture for brain age prediction
Xuan Zhang, Siyuan Duan, Siqi Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Brain age estimation with a greedy dual-stream model for limited datasets
Iman Kianian, Hedieh Sajedi
Neurocomputing (2024) Vol. 596, pp. 127974-127974
Open Access | Times Cited: 2
Brain age gap estimation using attention-based ResNet method for Alzheimer’s disease detection
Atefe Aghaei, Mohsen Ebrahimi Moghaddam
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Brain age prediction via cross-stratified ensemble learning
Xinlin Li, Zezhou Hao, Di Li, et al.
NeuroImage (2024) Vol. 299, pp. 120825-120825
Open Access | Times Cited: 2
Transformer-based approaches for neuroimaging: an in-depth review of their role in classification and regression tasks
Xinyu Zhu, Shen Sun, Lan Lin, et al.
Reviews in the Neurosciences (2024)
Closed Access | Times Cited: 2
A review of artificial intelligence-based brain age estimation and its applications for related diseases
Mohamed Azzam, Ziyang Xu, Ruobing Liu, et al.
Briefings in Functional Genomics (2024)
Open Access | Times Cited: 2
Pseudo labelling workflow, margin losses, hard triplet mining, and PENViT backbone for explainable age and biological gender estimation using dental panoramic radiographs
Md Sahadul Hasan Arian, Md. Tahmid Ahmed Rakib, Samira Ali, et al.
SN Applied Sciences (2023) Vol. 5, Iss. 11
Open Access | Times Cited: 4
Regional choroidal thickness estimation from color fundus images based on convolutional neural networks
Yibiao Rong, Qifeng Chen, Zehua Jiang, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26872-e26872
Open Access | Times Cited: 1
Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning
Ning Jiang, Gongshu Wang, Chuyang Ye, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5528-5539
Closed Access | Times Cited: 1
Brain age prediction using interpretable multi-feature-based convolutional neural network in mild traumatic brain injury
Xiang Zhang, Yizhen Pan, Tingting Wu, et al.
NeuroImage (2024) Vol. 297, pp. 120751-120751
Open Access | Times Cited: 1
Maximizing the carbon sink function of paddy systems in China with machine learning
Jin Wang, Qingguan Wu, Yong He, et al.
The Science of The Total Environment (2023) Vol. 909, pp. 168542-168542
Closed Access | Times Cited: 3
Can deep learning predict human intelligence from structural brain MRI?
Mohammad Arafat Hussain, Danielle LaMay, P. Ellen Grant, et al.
Research Square (Research Square) (2024)
Open Access
Mapping brain development against neurological disorder using contrastive sharing
Muhammad Hassan, Jieqong Lin, Ahmed Ameen Fateh, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124893-124893
Closed Access
Analysis of Brain Age Gap across Subject Cohorts and Prediction Model Architectures
Lara Dular, Žiga Špiclin
Biomedicines (2024) Vol. 12, Iss. 9, pp. 2139-2139
Open Access
RCT: Relational Connectivity Transformer for Enhanced Prediction of Absolute and Residual Intelligence
Mohammad Arafat Hussain, P. Ellen Grant, Yangming Ou
Lecture notes in computer science (2024), pp. 35-47
Closed Access
Deep learning of structural MRI predicts fluid, crystallized, and general intelligence
Mohammad Arafat Hussain, Danielle LaMay, P. Ellen Grant, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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