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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:

Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction
Yu Li, Xin Zhang, Jingxin Nie, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 10, pp. 2764-2776
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations
Sebastián Moguilner, Sandra Báez, Hernán Hernandez, et al.
Nature Medicine (2024) Vol. 30, Iss. 12, pp. 3646-3657
Open Access | Times Cited: 18
Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification
Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 82-82
Open Access | Times Cited: 2
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review
Elif Keleş, Ulaş Bağcı
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
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
BGCSL: An unsupervised framework reveals the underlying structure of large-scale whole-brain functional connectivity networks
Hua Zhang, Weiming Zeng, Ying Li, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 260, pp. 108573-108573
Closed Access
Multi-center brain age prediction via dual-modality fusion convolutional network
Xuebin Chang, Xiaoyan Jia, Simon B. Eickhoff, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103455-103455
Closed Access
LSTGINet: Local Attention Spatio-Temporal Graph Inference Network for Age Prediction
Yi Lei, Xin Wen, Yanrong Hao, et al.
Algorithms (2025) Vol. 18, Iss. 3, pp. 138-138
Open Access
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
Author Correction: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations
Sebastián Moguilner, Sandra Báez, Hernán Hernandez, et al.
Nature Medicine (2024)
Open Access | Times Cited: 2
Predicting cortical-thalamic functional connectivity using functional near-infrared spectroscopy and graph convolutional networks
Lingkai Tang, Lilian Kebaya, Homa Vahidi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Community Graph Convolution Neural Network for Alzheimer’s Disease Classification and Pathogenetic Factors Identification
Xia-an Bi, Ke Chen, Siyu Jiang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 36, Iss. 2, pp. 1959-1973
Closed Access | Times Cited: 6
Multi-Scale FC-Based Multi-Order GCN: A Novel Model for Predicting Individual Behavior From fMRI
Xuyun Wen, Qumei Cao, Bin Jing, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 548-558
Open Access | Times Cited: 1
Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer’s disease on routinely acquired T1-weighted imaging-based brain network
Chuanzhen Zhu, Honglun Li, Zhiwei Song, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
SSR-GPCsT: Deep Learning Models Based on Functional Connectivity Maps in Autism Research
Jiacheng Hao, Junhai Xu, Mengting Liu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1596-1600
Closed Access | Times Cited: 1
Current Applications of Artificial Intelligence in the Neonatal Intensive Care Unit
Dimitrios Rallis, Maria Baltogianni, Konstantina Kapetaniou, et al.
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1225-1248
Open Access | Times Cited: 1
Brain clocks capture diversity and disparity in aging and dementia
Agustín Ibáñez, Sebastián Moguilner, Sandra Baez, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development
Longyun Chen, Chen Qiao, Kai Ren, et al.
NeuroImage (2024) Vol. 298, pp. 120771-120771
Open Access | Times Cited: 1
An explainable spatio-temporal graph convolutional network for the biomarkers identification of ADHD
Longyun Chen, Yuhui Yang, Aiju Yu, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106913-106913
Closed Access | Times Cited: 1
Brain age prediction and deviations from normative trajectories in the neonatal connectome
Huili Sun, Saloni Mehta, Milana Khaitova, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Adversarially Trained Persistent Homology Based Graph Convolutional Network for Disease Identification Using Brain Connectivity
Chenyuan Bian, Nan Xia, Anmu Xie, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 503-516
Closed Access | Times Cited: 3
Predicting cortical-thalamic connectivity using functional near-infrared spectroscopy and graph convolutional networks
Lingkai Tang, Lilian Kebaya, Homa Vahidi, et al.
(2024)
Open Access
Predicting cortical-thalamic connectivity using functional near-infrared spectroscopy and graph convolutional networks
Lingkai Tang, Lilian Kebaya, Homa Vahidi, et al.
(2024)
Open Access
Natural Image Reconstruction from fMRI Based on Node–Edge Interaction and Multi–Scale Constraint
Mei Kuang, Zongyi Zhan, Shaobing Gao
Brain Sciences (2024) Vol. 14, Iss. 3, pp. 234-234
Open Access
Brain age prediction and deviations from normative trajectories in the neonatal connectome
Huili Sun, Saloni Mehta, Milana Khaitova, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Enhancing Graph-Based Representation Learning with Adversarial Policy Gradient: A Hyperparameter Analysis
Subhrasankar Chatterjee, Debasis Samanta
Lecture notes in networks and systems (2024), pp. 307-320
Closed Access
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