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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:

Comparison of Machine Learning Models for Brain Age Prediction Using Six Imaging Modalities on Middle-Aged and Older Adults
Min Xiong, Lan Lin, Yue Jin, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3622-3622
Open Access | Times Cited: 19

Showing 19 citing articles:

Quantifying Brain and Cognitive Maintenance as Key Indicators for Sustainable Cognitive Aging: Insights from the UK Biobank
Lan Lin, Min Xiong, Yue Jin, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9620-9620
Open Access | Times Cited: 11
BASE: Brain Age Standardized Evaluation
Lara Dular, Žiga Špiclin
NeuroImage (2023) Vol. 285, pp. 120469-120469
Open Access | Times Cited: 11
Disparities in accelerated brain aging in recent-onset and chronic schizophrenia
Sung Woo Joo, Junhyeok Lee, Juhyuk Han, et al.
Psychological Medicine (2025) Vol. 55
Closed Access
Conformal Prediction for Uncertainty Quantification in Brain Age Estimation Using Random Forests Quantile Regression on MRI Features of the HCP Young Adult
Alessia Sarica, Chiara Camastra, Assunta Pelagi, et al.
Lecture notes in computer science (2025), pp. 132-146
Closed Access
Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review
Yutong Wu, Hongjian Gao, Chen Zhang, et al.
Tomography (2024) Vol. 10, Iss. 8, pp. 1238-1262
Open Access | Times Cited: 3
Artificial intelligence for the study of human ageing: a systematic literature review
Mary Carlota Bernal, Edgar Batista, Antoni Martínez-Ballesté, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11949-11977
Open Access | Times Cited: 3
Exploring Successful Cognitive Aging: Insights Regarding Brain Structure, Function, and Demographics
Xinze Xu, Lan Lin, Shuicai Wu, et al.
Brain Sciences (2023) Vol. 13, Iss. 12, pp. 1651-1651
Open Access | Times Cited: 7
Elucidating Multimodal Imaging Patterns in Accelerated Brain Aging: Heterogeneity through a Discriminant Analysis Approach Using the UK Biobank Dataset
Lingyu Liu, Lan Lin, Shen Sun, et al.
Bioengineering (2024) Vol. 11, Iss. 2, pp. 124-124
Open Access | Times Cited: 2
Comparative Analysis of Brain Age Prediction Using Structural and Diffusion MRIs in Neonates
Zhicong Fang, Ningning Pan, Shujuan Liu, et al.
NeuroImage (2024) Vol. 299, pp. 120815-120815
Open Access | Times Cited: 2
Prediction of brain age in individuals with and at risk for alcohol use disorder using brain morphological features
Chella Kamarajan, Babak A. Ardekani, Ashwini K. Pandey, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Power of Ensemble Techniques for Brain Age Prediction Using Machine Learning Models
V. Ravi, Himanshu Singh Baghel, Nainika Chinamsetty, et al.
Research Square (Research Square) (2024)
Open Access
Understanding the Temporal Dynamics of Accelerated Brain Aging and Resilient Brain Aging: Insights from Discriminative Event-Based Analysis of UK Biobank Data
Lan Lin, Yutong Wu, Lingyu Liu, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 647-647
Open Access
Do transformers and CNNs learn different concepts of brain age?
Nys Tjade Siegel, Dagmar Kainmueller, Fatma Deniz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion
Weiping Ding, Jing Wang, Jiashuang Huang, et al.
Information Sciences (2024) Vol. 687, pp. 121376-121376
Closed Access
Structural and Molecular Imaging of Aging Brain
Mohamed Ghonim, Mohanad Ghonim, Hyae Won Kim Redden, et al.
PET Clinics (2024) Vol. 20, Iss. 1, pp. 67-88
Closed Access
Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes
Andrei-Claudiu Roibu, Stanisław Adaszewski, Torsten Schindler, et al.
(2023), pp. 17-25
Closed Access | Times Cited: 1
Evaluate student achievement by classifying brain structure and its functionality with novel hybrid method
Pınar Karadayı Ataş
Neural Computing and Applications (2023) Vol. 36, Iss. 7, pp. 3357-3368
Closed Access
Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields
K. H. Aqil, Tanvi Kulkarni, Jaikishan Jayakumar, et al.
Lecture notes in computer science (2023), pp. 58-69
Closed Access
Exploring heterogeneity in structural imaging patterns of aging brains using machine learning
Lan Lin, Lingyu Liu, Shuicai Wu
(2023), pp. 182-182
Closed Access
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