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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:

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

Showing 1-25 of 208 citing articles:

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
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
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
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
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
Toward naturalistic neuroscience: Mechanisms underlying the flattening of brain hierarchy in movie-watching compared to rest and task
Morten L. Kringelbach, Yonatan Sanz Perl, Enzo Tagliazucchi, et al.
Science Advances (2023) Vol. 9, Iss. 2
Open Access | Times Cited: 59
Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions
Aristotle N. Voineskos, Colin Hawco, Nicholas H. Neufeld, et al.
World Psychiatry (2024) Vol. 23, Iss. 1, pp. 26-51
Open Access | Times Cited: 24
Mapping patterns of thought onto brain activity during movie-watching
Raven Star Wallace, Brontë Mckeown, Ian Goodall-Halliwell, et al.
eLife (2025) Vol. 13
Open Access | Times Cited: 2
The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program
Michael P. Harms, Kang Ik K. Cho, Alan Anticevic, et al.
Schizophrenia (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Connectome-based predictive modeling of early and chronic psychosis symptoms
Maya L. Foster, Jean Ye, Albert R. Powers, et al.
Neuropsychopharmacology (2025)
Open Access | Times Cited: 1
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: 88
Striving toward translation: strategies for reliable fMRI measurement
Maxwell L. Elliott, Annchen R. Knodt, Ahmad R. Hariri
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 9, pp. 776-787
Open Access | Times Cited: 73
Canalization and plasticity in psychopathology
Robin Carhart‐Harris, Shamil Chandaria, David Erritzøe, et al.
Neuropharmacology (2022) Vol. 226, pp. 109398-109398
Open Access | Times Cited: 66
Leveraging the power of media to drive cognition: a media-informed approach to naturalistic neuroscience
Clare Grall, Emily S. Finn
Social Cognitive and Affective Neuroscience (2022) Vol. 17, Iss. 6, pp. 598-608
Open Access | Times Cited: 43
It’s about time: Linking dynamical systems with human neuroimaging to understand the brain
Yohan J. John, Kayle S. Sawyer, Karthik Srinivasan, et al.
Network Neuroscience (2022) Vol. 6, Iss. 4, pp. 960-979
Open Access | Times Cited: 41
Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics
Hayoung Song, Won Mok Shim, Monica D. Rosenberg
eLife (2023) Vol. 12
Open Access | Times Cited: 31
The default network dominates neural responses to evolving movie stories
Enning Yang, Filip Milisav, Jakub Kopál, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 22
Leveraging the adolescent brain cognitive development study to improve behavioral prediction from neuroimaging in smaller replication samples
Carolina Makowski, Timothy T. Brown, Weiqi Zhao, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 6
Closed Access | Times Cited: 11
Quality over quantity: powering neuroimaging samples in psychiatry
Carolina Makowski, Thomas E. Nichols, Anders M. Dale
Neuropsychopharmacology (2024) Vol. 50, Iss. 1, pp. 58-66
Closed Access | Times Cited: 9
What is the best brain state to predict autistic traits?
Corey Horien, Francesca Mandino, Abigail S. Greene, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
Functional connectivity of the scene processing network at rest does not reliably predict human behaviour on scene processing tasks
David Watson, Timothy J. Andrews
eNeuro (2025) Vol. 12, Iss. 2, pp. ENEURO.0375-24.2024
Open Access | Times Cited: 1
Clinical connectome fingerprints of cognitive decline
Pierpaolo Sorrentino, Rosaria Rucco, Anna Lardone, et al.
NeuroImage (2021) Vol. 238, pp. 118253-118253
Open Access | Times Cited: 43
Act natural: Functional connectivity from naturalistic stimuli fMRI outperforms resting-state in predicting brain activity
Shachar Gal, Yael Coldham, Niv Tik, et al.
NeuroImage (2022) Vol. 258, pp. 119359-119359
Open Access | Times Cited: 29
Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder?
Mary Beth Nebel, Daniel E. Lidstone, Liwei Wang, et al.
NeuroImage (2022) Vol. 257, pp. 119296-119296
Open Access | Times Cited: 28
Increased low-frequency brain responses to music after psilocybin therapy for depression
Matthew B. Wall, Cynthia Lam, Natalie Ertl, et al.
Journal of Affective Disorders (2023) Vol. 333, pp. 321-330
Open Access | Times Cited: 21
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