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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:

Resting-state functional connectivity identifies individuals and predicts age in 8-to-26-month-olds
Omid Kardan, Sydney Kaplan, Muriah D. Wheelock, et al.
Developmental Cognitive Neuroscience (2022) Vol. 56, pp. 101123-101123
Open Access | Times Cited: 24

Showing 24 citing articles:

Data leakage inflates prediction performance in connectome-based machine learning models
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 33
Functional networks in the infant brain during sleep and wake states
Tristan S. Yates, Cameron T. Ellis, Nicholas B. Turk‐Browne
Cerebral Cortex (2023) Vol. 33, Iss. 21, pp. 10820-10835
Open Access | Times Cited: 11
Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes
Omid Kardan, Natasha N. Jones, Muriah D. Wheelock, et al.
Developmental Cognitive Neuroscience (2025) Vol. 73, pp. 101543-101543
Open Access
A Subset of Cortical Areas Exhibit Adult-like Functional Network Patterns in Early Childhood
Jiaxin Cindy Tu, Yu Wang, Xintian Wang, et al.
Developmental Cognitive Neuroscience (2025), pp. 101551-101551
Open Access
Baby Brains at Work: How Task-Based Functional Magnetic Resonance Imaging Can Illuminate the Early Emergence of Psychiatric Risk
Ashley N. Nielsen, Alice M. Graham, Chad M. Sylvester
Biological Psychiatry (2023) Vol. 93, Iss. 10, pp. 880-892
Open Access | Times Cited: 9
Separating Group- and Individual-level Brain Signatures in the Newborn Functional Connectome: A Deep Learning Approach
Jung‐Hoon Kim, Josepheen De Asis‐Cruz, Catherine Limperopoulos
NeuroImage (2024) Vol. 299, pp. 120806-120806
Open Access | Times Cited: 3
Functional brain connectivity predictors of prospective substance use initiation and their environmental correlates
Omid Kardan, Alexander Weigard, Lora M. Cope, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2024) Vol. 10, Iss. 2, pp. 203-212
Open Access | Times Cited: 2
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: 2
Network-level enrichment provides a framework for biological interpretation of machine learning results
J. Jenny Li, Ari Segel, Xinyang Feng, et al.
Network Neuroscience (2024) Vol. 8, Iss. 3, pp. 762-790
Open Access | Times Cited: 1
Predictability of intelligence and age from structural connectomes
Sebastian J. Kopetzky, Yong Li, Marcus Kaiser, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301599-e0301599
Open Access | Times Cited: 1
Flexible parametrization of graph‐theoretical features from individual‐specific networks for prediction
Mariella Gregorich, Sean L. Simpson, Georg Heinze
Statistics in Medicine (2024) Vol. 43, Iss. 13, pp. 2592-2606
Open Access | Times Cited: 1
A subset of brain regions within adult functional connectivity networks demonstrate high reliability across early development
Jiaxin Cindy Tu, Yu Wang, Xintian Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
BIBSNet: A Deep Learning Baby Image Brain Segmentation Network for MRI Scans
Timothy Hendrickson, Paul Reiners, Lucille A. Moore, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Down and up! Does the mu rhythm index a gating mechanism in the developing motor system?
Moritz Köster, Marlene Meyer
Developmental Cognitive Neuroscience (2023) Vol. 60, pp. 101239-101239
Open Access | Times Cited: 3
The effects of data leakage on connectome-based machine learning models
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Functional brain connectivity predictors of prospective substance use initiation and their environmental correlates
Omid Kardan, Alexander Weigard, Lora M. Cope, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Network level enrichment provides a framework for biological interpretation of machine learning results
J. Jenny Li, Ari Segel, Xinyang Feng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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
Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes
Omid Kardan, Natasha N. Jones, Muriah D. Wheelock, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
White matter functional networks in the developing brain
Yali Huang, Charles M. Glasier, Xiaoxu Na, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations
Eric Dragendorf, Eva Bültmann, Dominik Wolff
Frontiers in Neuroinformatics (2024) Vol. 18
Open Access
Modeling functional connectivity changes during an auditory language task using line graph neural networks
Stein F. Acker, Junwu Liang, Ninet Sinaii, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
The Lifespan Evolution of Individualized Neurophysiological Traits
Jason da Silva Castanheira, Alex I. Wiesman, Margot J. Taylor, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age
Ilkka Suuronen, Silja Luotonen, Henry Railo, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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