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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:

Development and Emergence of Individual Variability in the Functional Connectivity Architecture of the Preterm Human Brain
Yuehua Xu, Miao Cao, Xuhong Liao, et al.
Cerebral Cortex (2018) Vol. 29, Iss. 10, pp. 4208-4222
Open Access | Times Cited: 49

Showing 26-50 of 49 citing articles:

Development of neonatal connectome dynamics and its prediction for cognitive and language outcomes at age 2
Yuehua Xu, Xuhong Liao, Tianyuan Lei, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 5
Open Access | Times Cited: 1
Constructing fine‐grained spatiotemporal neonatal functional atlases with spectral functional network learning
Xuyun Wen, Yunxi Zhao, Geng Chen, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 8
Open Access | Times Cited: 1
Machine-learning based prediction of future outcome using multimodal MRI during early childhood
Minhui Ouyang, Matthew T. Whitehead, Sovesh Mohapatra, et al.
Seminars in Fetal and Neonatal Medicine (2024), pp. 101561-101561
Closed Access | Times Cited: 1
Differential age-dependent development of inter-area brain connectivity in term and preterm neonates
Takeshi Arimitsu, N. Shinohara, Yasuyo Minagawa, et al.
Pediatric Research (2022) Vol. 92, Iss. 4, pp. 1017-1025
Open Access | Times Cited: 7
3D‐MASNet: 3D mixed‐scale asymmetric convolutional segmentation network for 6‐month‐old infant brain MR images
Zilong Zeng, Tengda Zhao, Lianglong Sun, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 4, pp. 1779-1792
Open Access | Times Cited: 6
Differentiate preterm and term infant brains and characterize the corresponding biomarkers via DICCCOL-based multi-modality graph neural networks
Shu Zhang, Ruoyang Wang, Junxin Wang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5
Enhanced intersubject similarity in functional connectivity by long-term abacus training
Yi Zhang, Tianyong Xu, Xiao Han, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 13, pp. 8633-8644
Closed Access | Times Cited: 2
Individual differences in the language task-evoked and resting-state functional networks
Xin Liu, Yang Liu
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
Modulatory effects of fMRI acquisition time of day, week and year on adolescent functional connectomes across spatial scales: Implications for inference
Linfeng Hu, Eliot S. Katz, Catherine Stamoulis
NeuroImage (2023) Vol. 284, pp. 120459-120459
Open Access | Times Cited: 2
Diffusion-MRI-based regional cortical microstructure at birth for predicting neurodevelopmental outcomes of 2-year-olds
Minhui Ouyang, Qinmu Peng, Tina Jeon, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5
Local Gradients of Functional Connectivity Enable Precise Fingerprinting of Infant Brains During Dynamic Development
Xinrui Yuan, Jiale Cheng, Dan Hu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Functional fingerprinting for the developing brain using deep metric learning: an ABCD study
Rui Xu, S. J. Zhao, Qianhui Jin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The developmental connectome
Minhui Ouyang, Carroll Rutherford Fields, Tianjia Zhu, et al.
Elsevier eBooks (2023), pp. 345-367
Closed Access | Times Cited: 1
3D-MASNet: 3D Mixed-scale Asymmetric Convolutional Segmentation Network for 6-month-old Infant Brain MR Images
Zilong Zeng, Tengda Zhao, Lianglong Sun, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
Frequency-Resolved Connectome Hubs and Their Test-Retest Reliability in the Resting Human Brain
Lei Wang, Xiaodan Chen, Yuehua Xu, et al.
Neuroscience Bulletin (2022) Vol. 38, Iss. 5, pp. 519-532
Open Access | Times Cited: 2
Functional individual variability development of the neonatal brain
Wenjian Gao, Ziyi Huang, Wenfei Ou, et al.
Brain Structure and Function (2022) Vol. 227, Iss. 6, pp. 2181-2190
Closed Access | Times Cited: 2
Neurophysiological basis of hemodynamic responses in the developing human brain before the time of normal birth
Tanya Poppe, Jucha Willers Moore, Mohammed Rupawala, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
The role of visual experience in brain inter-individual variability
Sriparna Sen, Ningcong Tong, Xiaoying Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Connectome and graph analysis of the developing brain
Miao Cao, Yong He
Advances in magnetic resonance technology and applications (2021), pp. 309-326
Closed Access | Times Cited: 1
Development of neonatal connectome dynamics and its prediction for cognitive and language outcomes at age 2
Yuehua Xu, Xuhong Liao, Tianyuan Lei, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Development of Sensorimotor-Visual Connectome Gradient at Birth Predicts Cognitive Outcomes at 2 Years of Age
Yunman Xia, Yuehua Xu, Dingna Duan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Towards A More Informative Representation of the Fetal-Neonatal Brain Connectome using Variational Autoencoder
Jung‐Hoon Kim, Josepheen De Asis‐Cruz, Dhineshvikram Krishnamurthy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Imaging early brain structural and functional development
Minhui Ouyang, Christopher D. Smyser, Jeffrey J. Neil, et al.
Advances in magnetic resonance technology and applications (2021), pp. 395-428
Closed Access
Special considerations for acquisition of pediatric MRI of high spatial and temporal resolution
Timothy P. L. Roberts, Tianjia Zhu, Hao Huang
Advances in magnetic resonance technology and applications (2021), pp. 3-18
Closed Access
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