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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:

Machine learning prediction of cognition from functional connectivity: Are feature weights reliable?
Ye Tian, Andrew Zalesky
NeuroImage (2021) Vol. 245, pp. 118648-118648
Open Access | Times Cited: 89

Showing 26-50 of 89 citing articles:

Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health
Golia Shafiei, Nathália Bianchini Esper, Max Hoffmann, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Exploring the Relationships Among Little‐C, Big‐C, and Divergent Thinking: A Resting‐State fMRI Study
Xiaojin Liu, Zhenni Gao, Xinuo Qiao, et al.
The Journal of Creative Behavior (2025) Vol. 59, Iss. 2
Closed Access
Somatomotor disconnection links sleep duration with socioeconomic context, screen time, cognition, and psychopathology
Cleanthis Michael, Aman Taxali, Mike Angstadt, et al.
Biological Psychiatry Global Open Science (2025), pp. 100522-100522
Open Access
Tangent functional connectomes uncover more unique phenotypic traits
Kausar Abbas, Mintao Liu, Michael Wang, et al.
iScience (2023) Vol. 26, Iss. 9, pp. 107624-107624
Open Access | Times Cited: 10
Multilayer meta-matching: translating phenotypic prediction models from multiple datasets to small data
Pansheng Chen, Lijun An, Naren Wulan, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-22
Open Access | Times Cited: 3
How measurement noise limits the accuracy of brain-behaviour predictions
Martin Gell, Simon B. Eickhoff, Amir Omidvarnia, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Cross-cohort replicability and generalizability of connectivity-based psychometric prediction patterns
Jianxiao Wu, Jingwei Li, Simon B. Eickhoff, et al.
NeuroImage (2022) Vol. 262, pp. 119569-119569
Open Access | Times Cited: 15
Using graph theory as a common language to combine neural structure and function in models of healthy cognitive performance
Marta Czime Litwińczuk, Nils Muhlert, Nelson J. Trujillo‐Barreto, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 8, pp. 3007-3022
Open Access | Times Cited: 8
Accounting for temporal variability in functional magnetic resonance imaging improves prediction of intelligence
Yang Li, Xin Ma, Rajshekhar Sunderraman, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 13, pp. 4772-4791
Open Access | Times Cited: 7
Replicable multivariate BWAS with moderate sample sizes
Tamás Spisák, Ulrike Bingel, Tor D. Wager
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 12
Stable multivariate lesion symptom mapping
Alex Teghipco, Roger Newman‐Norlund, Makayla Gibson, et al.
Aperture Neuro (2024) Vol. 4
Open Access | Times Cited: 2
Data-driven biomarkers better associate with stroke motor outcomes than theory-based biomarkers
Emily Olafson, Christoph Sperber, Keith Jamison, et al.
Brain Communications (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 2
A mega-analysis of functional connectivity and network abnormalities in youth depression
Nga Yan Tse, Aswin Ratheesh, Ye Tian, et al.
Nature Mental Health (2024)
Closed Access | Times Cited: 2
Multivariate resting-state functional connectomes predict and characterize obesity phenotypes
Jijun Wang, Debo Dong, Yong Liu, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 13, pp. 8368-8381
Open Access | Times Cited: 6
ConnSearch: A framework for functional connectivity analysis designed for interpretability and effectiveness at limited sample sizes
Paul C. Bogdan, Alexandru D. Iordan, Jonathan Shobrook, et al.
NeuroImage (2023) Vol. 278, pp. 120274-120274
Open Access | Times Cited: 6
Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups
Ceren Tozlu, Keith Jamison, Zijin Gu, et al.
NeuroImage Clinical (2021) Vol. 32, pp. 102827-102827
Open Access | Times Cited: 14
Dynamic Functional Connectivity Better Predicts Disability Than Structural and Static Functional Connectivity in People With Multiple Sclerosis
Ceren Tozlu, Keith Jamison, Susan A. Gauthier, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 12
Putting behaviour back into brain-behaviour correlation analyses
Jeggan Tiego, Alex Fornito
(2022)
Open Access | Times Cited: 8
RCPL preprint: An externally validated resting-state brain connectivity signature of pain-related learning
Bálint Kincses, Katarina Forkmann, Frederik Schlitt, et al.
(2023)
Open Access | Times Cited: 4
Individual-level functional connectivity predicts cognitive control efficiency
Benjamin L. Deck, Apoorva Kelkar, Brian Erickson, et al.
NeuroImage (2023) Vol. 283, pp. 120386-120386
Open Access | Times Cited: 4
State-dependent auditory-reward brain network connectivity predicts degree of pleasure to music
Kazuma Mori, Robert J. Zatorre
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Intra-V1 functional networks and classification of observed stimuli
Marlis Ontivero-Ortega, Jorge Iglesias-Fuster, Jhoanna Perez-Hidalgo, et al.
Frontiers in Neuroinformatics (2024) Vol. 18
Open Access | Times Cited: 1
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
Identifying developmental changes in functional brain connectivity associated with cognitive functioning in children and adolescents with ADHD
Brian Pho, Ryan Andrew Stevenson, Sara Saljoughi, et al.
Developmental Cognitive Neuroscience (2024) Vol. 69, pp. 101439-101439
Open Access | Times Cited: 1
Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations
Brendan Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, et al.
Developmental Cognitive Neuroscience (2024) Vol. 70, pp. 101464-101464
Open Access | Times Cited: 1

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