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:

A distributed brain network predicts general intelligence from resting-state human neuroimaging data
Julien Dubois, Paola Galdi, Lynn K. Paul, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2018) Vol. 373, Iss. 1756, pp. 20170284-20170284
Open Access | Times Cited: 305

Showing 1-25 of 305 citing articles:

Establishment of Best Practices for Evidence for Prediction
Russell A. Poldrack, Grace Huckins, Gaël Varoquaux
JAMA Psychiatry (2019) Vol. 77, Iss. 5, pp. 534-534
Open Access | Times Cited: 614

Ten simple rules for predictive modeling of individual differences in neuroimaging
Dustin Scheinost, Stephanie Noble, Corey Horien, et al.
NeuroImage (2019) Vol. 193, pp. 35-45
Open Access | Times Cited: 353

Benchmarking functional connectome-based predictive models for resting-state fMRI
Kamalaker Dadi, Mehdi Rahim, Alexandre Abraham, et al.
NeuroImage (2019) Vol. 192, pp. 115-134
Open Access | Times Cited: 311

Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises
Jing Sui, Rongtao Jiang, Juan Bustillo, et al.
Biological Psychiatry (2020) Vol. 88, Iss. 11, pp. 818-828
Open Access | Times Cited: 268

Measuring and understanding individual differences in cognition
Neeltje J. Boogert, Joah R. Madden, Julie Morand‐Ferron, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2018) Vol. 373, Iss. 1756, pp. 20170280-20170280
Open Access | Times Cited: 213

Revisiting the Functional Anatomy of the Human Brain: Toward a Meta-Networking Theory of Cerebral Functions
Guillaume Herbet, Hugues Duffau
Physiological Reviews (2020) Vol. 100, Iss. 3, pp. 1181-1228
Closed Access | Times Cited: 190

Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities
Rong Wang, Mianxin Liu, Xinhong Cheng, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 23
Open Access | Times Cited: 183

Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior
Ru Kong, Qing Yang, Evan M. Gordon, et al.
Cerebral Cortex (2021) Vol. 31, Iss. 10, pp. 4477-4500
Open Access | Times Cited: 179

Resting-State Functional Brain Connectivity Best Predicts the Personality Dimension of Openness to Experience
Julien Dubois, Paola Galdi, Yanting Han, et al.
Personality Neuroscience (2018) Vol. 1
Open Access | Times Cited: 171

Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study
Jianzhong Chen, Angela Tam, Valeria Kebets, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 159

Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies
James V. Haxby, J. Swaroop Guntupalli, Samuel A. Nastase, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 157

Brain–phenotype models fail for individuals who defy sample stereotypes
Abigail S. Greene, Xilin Shen, Stephanie Noble, et al.
Nature (2022) Vol. 609, Iss. 7925, pp. 109-118
Open Access | Times Cited: 122

Genetic variation, brain, and intelligence differences
Ian J. Deary, Simon R. Cox, W. David Hill
Molecular Psychiatry (2021) Vol. 27, Iss. 1, pp. 335-353
Open Access | Times Cited: 104

Structural-functional brain network coupling predicts human cognitive ability
Johanna L. Popp, Jonas A. Thiele, Joshua Faskowitz, et al.
NeuroImage (2024) Vol. 290, pp. 120563-120563
Open Access | Times Cited: 17

Combining multiple connectomes improves predictive modeling of phenotypic measures
Siyuan Gao, Abigail S. Greene, R. Todd Constable, et al.
NeuroImage (2019) Vol. 201, pp. 116038-116038
Open Access | Times Cited: 137

Prediction of neurocognition in youth from resting state fMRI
Chandra Sripada, Saige Rutherford, Mike Angstadt, et al.
Molecular Psychiatry (2019) Vol. 25, Iss. 12, pp. 3413-3421
Open Access | Times Cited: 127

Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores
Rongtao Jiang, Vince D. Calhoun, Lingzhong Fan, et al.
Cerebral Cortex (2019) Vol. 30, Iss. 3, pp. 888-900
Open Access | Times Cited: 126

Pain-free resting-state functional brain connectivity predicts individual pain sensitivity
Tamás Spisák, Bálint Kincses, Frederik Schlitt, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 109

Toward a “treadmill test” for cognition: Improved prediction of general cognitive ability from the task activated brain
Chandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Human Brain Mapping (2020) Vol. 41, Iss. 12, pp. 3186-3197
Open Access | Times Cited: 108

Basic Units of Inter-Individual Variation in Resting State Connectomes
Chandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 87

How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships
Abigail S. Greene, Siyuan Gao, Stephanie Noble, et al.
Cell Reports (2020) Vol. 32, Iss. 8, pp. 108066-108066
Open Access | Times Cited: 80

Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes
Emily S. Finn, Monica D. Rosenberg
NeuroImage (2021) Vol. 239, pp. 118254-118254
Open Access | Times Cited: 79

The Role of Resting-State Network Functional Connectivity in Cognitive Aging
Hanna K. Hausman, Andrew O’Shea, Jessica N. Kraft, et al.
Frontiers in Aging Neuroscience (2020) Vol. 12
Open Access | Times Cited: 75

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