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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:

Fetal brain age estimation and anomaly detection using attention-based deep ensembles with uncertainty
Wen Shi, Guohui Yan, Yamin Li, et al.
NeuroImage (2020) Vol. 223, pp. 117316-117316
Open Access | Times Cited: 58

Showing 1-25 of 58 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
Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan
Sheng He, Diana Pereira, Juan David Perez, et al.
Medical Image Analysis (2021) Vol. 72, pp. 102091-102091
Open Access | Times Cited: 57
Genetically supported targets and drug repurposing for brain aging: A systematic study in the UK Biobank
Yi Fan, Jing Yuan, Judith Somekh, et al.
Science Advances (2025) Vol. 11, Iss. 11
Closed Access | Times Cited: 1
Imaging fetal anatomy
Yousif Dawood, Marieke F.J. Buijtendijk, H. Shah, et al.
Seminars in Cell and Developmental Biology (2022) Vol. 131, pp. 78-92
Open Access | Times Cited: 32
Attention-guided deep learning for gestational age prediction using fetal brain MRI
Liyue Shen, Jimmy Zheng, Edward H. Lee, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29
Prediction of Fetal Brain and Heart Abnormalties using Artificial Intelligence Algorithms: A Review
Ashish Shiwlani
American Journal of Biomedical Science & Research (2024) Vol. 22, Iss. 3, pp. 456-466
Open Access | Times Cited: 7
An Attention-Based Hemispheric Relation Inference Network for Perinatal Brain Age Prediction
Leilei Zhao, Dalin Zhu, Xiaomin Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4483-4493
Closed Access | Times Cited: 6
Total Sleep Deprivation Increases Brain Age Prediction Reversibly in Multisite Samples of Young Healthy Adults
Congying Chu, Sebastian C. Holst, Eva‐Maria Elmenhorst, et al.
Journal of Neuroscience (2023) Vol. 43, Iss. 12, pp. 2168-2177
Open Access | Times Cited: 16
Analysis of maturation features in fetal brain ultrasound via artificial intelligence for the estimation of gestational age
Xavier P. Burgos-Artizzu, David Coronado-Gutiérrez, Brenda Valenzuela‐Alcaráz, et al.
American Journal of Obstetrics & Gynecology MFM (2021) Vol. 3, Iss. 6, pp. 100462-100462
Open Access | Times Cited: 30
AFFIRM: Affinity Fusion-Based Framework for Iteratively Random Motion Correction of Multi-Slice Fetal Brain MRI
Wen Shi, Haoan Xu, Cong Sun, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 1, pp. 209-219
Open Access | Times Cited: 19
JoCoRank: Joint correlation learning with ranking similarity regularization for imbalanced fetal brain age regression
Ran Zhou, Y Liu, Wei Xia, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108111-108111
Closed Access | Times Cited: 4
BabyPy: a brain-age model for infancy, childhood and adolescence
Francesca Biondo, Jonathan O’Muircheartaigh, Richard A. I. Bethlehem, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Deep Learning-based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly
Hyuk Jin Yun, H.-J. Lee, Sungmin You, et al.
Radiology Artificial Intelligence (2025) Vol. 7, Iss. 2
Closed Access
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study
Tobias Hepp, Dominik Blum, Karim Armanious, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 92, pp. 101967-101967
Open Access | Times Cited: 26
Hybrid HCNN-KNN Model Enhances Age Estimation Accuracy in Orthopantomography
Fatemeh Sharifonnasabi, N. Z. Jhanjhi, Jacob John, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 18
Classifying congenital brain anomalies using deep learning enabled Hunter-Squirrel Search Optimization
Manisha P. Navale, Brijendra Gupta
Australian Journal of Electrical & Electronics Engineering (2025), pp. 1-13
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
Deep Learning based Anomaly Detection in Images: Insights, Challenges and Recommendations
Ahad Alloqmani, B. Yoosef, Asif Irshad, et al.
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 4
Open Access | Times Cited: 20
The role of artificial intelligence in paediatric neuroradiology
Catherine Pringle, John‐Paul Kilday, Ian Kamaly-Asl, et al.
Pediatric Radiology (2022) Vol. 52, Iss. 11, pp. 2159-2172
Open Access | Times Cited: 13
Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study
Tom Finck, Hongwei Li, Sarah Schlaeger, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 13
Optimal Method for Fetal Brain Age Prediction Using Multiplanar Slices From Structural Magnetic Resonance Imaging
Jinwoo Hong, Hyuk Jin Yun, Gilsoon Park, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 17
The current and future roles of artificial intelligence in pediatric radiology
Jeffrey P. Otjen, Michael M. Moore, Erin K. Romberg, et al.
Pediatric Radiology (2021) Vol. 52, Iss. 11, pp. 2065-2073
Closed Access | Times Cited: 16
Machine learning in prenatal MRI predicts postnatal ventricular abnormalities in fetuses with isolated ventriculomegaly
Xue Chen, Daqiang Xu, Xiaowen Gu, et al.
European Radiology (2024) Vol. 34, Iss. 11, pp. 7115-7124
Closed Access | Times Cited: 2
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
The role of cortical structural variance in deep learning-based prediction of fetal brain age
Hyeokjin Kwon, Sungmin You, Hyuk Jin Yun, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
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