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:

Task-induced brain state manipulation improves prediction of individual traits
Abigail S. Greene, Siyuan Gao, Dustin Scheinost, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 493

Showing 1-25 of 493 citing articles:

Reproducible brain-wide association studies require thousands of individuals
Scott Marek, Brenden Tervo‐Clemmens, Finnegan J. Calabro, et al.
Nature (2022) Vol. 603, Iss. 7902, pp. 654-660
Open Access | Times Cited: 1448

Topographic organization of the human subcortex unveiled with functional connectivity gradients
Ye Tian, Daniel S. Margulies, Michael Breakspear, et al.
Nature Neuroscience (2020) Vol. 23, Iss. 11, pp. 1421-1432
Open Access | Times Cited: 531

A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis
Stephanie Noble, Dustin Scheinost, R. Todd Constable
NeuroImage (2019) Vol. 203, pp. 116157-116157
Open Access | Times Cited: 507

Development of structure–function coupling in human brain networks during youth
Graham L. Baum, Zaixu Cui, David R. Roalf, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 117, Iss. 1, pp. 771-778
Open Access | Times Cited: 429

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, et al.
Medical Image Analysis (2021) Vol. 74, pp. 102233-102233
Open Access | Times Cited: 390

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: 349

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: 267

Movie-watching outperforms rest for functional connectivity-based prediction of behavior
Emily S. Finn, Peter A. Bandettini
NeuroImage (2021) Vol. 235, pp. 117963-117963
Open Access | Times Cited: 208

There is no single functional atlas even for a single individual: Functional parcel definitions change with task
Mehraveh Salehi, Abigail S. Greene, Amin Karbasi, et al.
NeuroImage (2019) Vol. 208, pp. 116366-116366
Open Access | Times Cited: 207

The Human Connectome Project: A retrospective
Jennifer Stine Elam, Matthew F. Glasser, Michael P. Harms, et al.
NeuroImage (2021) Vol. 244, pp. 118543-118543
Open Access | Times Cited: 198

The individual functional connectome is unique and stable over months to years
Corey Horien, Xilin Shen, Dustin Scheinost, et al.
NeuroImage (2019) Vol. 189, pp. 676-687
Open Access | Times Cited: 189

Is it time to put rest to rest?
Emily S. Finn
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 12, pp. 1021-1032
Open Access | Times Cited: 183

Connectome-Based Prediction of Cocaine Abstinence
Sarah W. Yip, Dustin Scheinost, Marc N. Potenza, et al.
American Journal of Psychiatry (2019) Vol. 176, Iss. 2, pp. 156-164
Open Access | Times Cited: 182

Functional connectivity predicts changes in attention observed across minutes, days, and months
Monica D. Rosenberg, Dustin Scheinost, Abigail S. Greene, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 7, pp. 3797-3807
Open Access | Times Cited: 163

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

How to establish robust brain–behavior relationships without thousands of individuals
Monica D. Rosenberg, Emily S. Finn
Nature Neuroscience (2022) Vol. 25, Iss. 7, pp. 835-837
Closed Access | Times Cited: 146

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

Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity
Jingwei Li, Danilo Bzdok, Jianzhong Chen, et al.
Science Advances (2022) Vol. 8, Iss. 11
Open Access | Times Cited: 110

How to Interpret Resting-State fMRI: Ask Your Participants
Javier González-Castillo, Julia W. Y. Kam, Colin W. Hoy, et al.
Journal of Neuroscience (2021) Vol. 41, Iss. 6, pp. 1130-1141
Open Access | Times Cited: 108

The Functional Relevance of Task-State Functional Connectivity
Michael W. Cole, Takuya Ito, Carrisa Cocuzza, et al.
Journal of Neuroscience (2021) Vol. 41, Iss. 12, pp. 2684-2702
Open Access | Times Cited: 107

Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI
Leon Qi Rong Ooi, Jianzhong Chen, Shaoshi Zhang, et al.
NeuroImage (2022) Vol. 263, pp. 119636-119636
Open Access | Times Cited: 83

Why is everyone talking about brain state?
Abigail S. Greene, Corey Horien, Daniel Barson, et al.
Trends in Neurosciences (2023) Vol. 46, Iss. 7, pp. 508-524
Open Access | Times Cited: 78

Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity
Weiqi Zhao, Carolina Makowski, Donald J. Hagler, et al.
NeuroImage (2023) Vol. 270, pp. 119946-119946
Open Access | Times Cited: 76

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