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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:

Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping
Ana Lúısa Pinho, Alexis Amadon, Baptiste Gauthier, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

The OpenNeuro resource for sharing of neuroscience data
Christopher J. Markiewicz, Krzysztof J. Gorgolewski, Franklin Feingold, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 192
A hierarchical atlas of the human cerebellum for functional precision mapping
Caroline Nettekoven, Da Zhi, Ladan Shahshahani, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use
Angela R. Laird
NeuroImage (2021) Vol. 244, pp. 118579-118579
Open Access | Times Cited: 56
A hierarchical atlas of the human cerebellum for functional precision mapping
Caroline Nettekoven, Da Zhi, Ladan Shahshahani, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 23
Person-specific and precision neuroimaging: Current methods and future directions
Katherine J. Michon, Dalia Khammash, Molly Simmonite, et al.
NeuroImage (2022) Vol. 263, pp. 119589-119589
Open Access | Times Cited: 37
Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain
Christopher R. Madan
Neuroinformatics (2021) Vol. 20, Iss. 1, pp. 109-137
Open Access | Times Cited: 38
Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, et al.
NeuroImage (2021) Vol. 248, pp. 118849-118849
Open Access | Times Cited: 31
The inferior frontal sulcus: Cortical segregation, molecular architecture and function
Sabine Ruland, Nicola Palomero‐Gallagher, Felix Hoffstaedter, et al.
Cortex (2022) Vol. 153, pp. 235-256
Open Access | Times Cited: 20
A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity
Victoria Shevchenko, R. Austin Benn, Robert Scholz, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
OpenNeuro: An open resource for sharing of neuroimaging data
Christopher J. Markiewicz, Krzysztof J. Gorgolewski, Franklin Feingold, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 26
A hierarchical Bayesian brain parcellation framework for fusion of functional imaging datasets
Da Zhi, Ladan Shahshahani, Caroline Nettekoven, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 10
Precision neuroimaging
Laura Pritschet, Emily G. Jacobs
Elsevier eBooks (2024), pp. 211-218
Closed Access | Times Cited: 3
Functional gradients in the human lateral prefrontal cortex revealed by a comprehensive coordinate-based meta-analysis
Majd Abdallah, Gaston Zanitti, Valentin Iovene, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 13
Brain decoding of the Human Connectome Project tasks in a dense individual fMRI dataset
Shima Rastegarnia, Marie St‐Laurent, Elizabeth DuPré, et al.
NeuroImage (2023) Vol. 283, pp. 120395-120395
Open Access | Times Cited: 7
A hierarchical atlas of the human cerebellum for functional precision mapping
Caroline Nettekoven, Da Zhi, Ladan Shahshahani, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, et al.
Medical Image Analysis (2022) Vol. 81, pp. 102540-102540
Open Access | Times Cited: 10
Should one go for individual- or group-level brain parcellations? A deep-phenotyping benchmark
Bertrand Thirion, Himanshu Aggarwal, Ana Fernanda Ponce, et al.
Brain Structure and Function (2023) Vol. 229, Iss. 1, pp. 161-181
Closed Access | Times Cited: 4
A Comparative Machine Learning Study of Connectivity-Based Biomarkers of Schizophrenia
Victoria Shevchenko, R. Austin Benn, Robert Scholz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Introducing HiBoP: a Unity‐based visualization software for large iEEG datasets
Maria Del Vecchio, Benjamin Bontemps, Florian Lance, et al.
Journal of Neuroscience Methods (2024) Vol. 409, pp. 110179-110179
Closed Access | Times Cited: 1
From deep brain phenotyping to functional atlasing
Bertrand Thirion, Alexis Thual, Ana Lúısa Pinho
Current Opinion in Behavioral Sciences (2021) Vol. 40, pp. 201-212
Open Access | Times Cited: 8
A Novel Method to Use Coordinate Based Meta-Analysis to Determine a Prior Distribution for Voxelwise Bayesian Second-Level fMRI Analysis
Hyemin Han
Mathematics (2022) Vol. 10, Iss. 3, pp. 356-356
Open Access | Times Cited: 6
Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, et al.
Lecture notes in computer science (2021), pp. 605-614
Closed Access | Times Cited: 5
Individual Brain Charting dataset extension, third release for movie watching and retinotopy data
Ana Lúısa Pinho, Richard Hugo, Ana Fernanda Ponce, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access
Across-Subject Ensemble-Learning Alleviates the Need for Large Samples for fMRI Decoding
Himanshu Aggarwal, Liza Al-Shikhley, Bertrand Thirion
Lecture notes in computer science (2024), pp. 35-45
Open Access
Predicting Individual Task Contrasts From Resting-state Functional Connectivity using a Surface-based Convolutional Network
Gia H. Ngo, Meenakshi Khosla, K. A. Jamison, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
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