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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:

Considering factors affecting the connectome-based identification process: Comment on Waller et al.
Corey Horien, Stephanie Noble, Emily S. Finn, et al.
NeuroImage (2017) Vol. 169, pp. 172-175
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

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: 511
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
Functional brain networks reflect spatial and temporal autocorrelation
Maxwell Shinn, Amber Hu, Laurel Turner, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 5, pp. 867-878
Open Access | Times Cited: 48
Distinctions among real and apparent respiratory motions in human fMRI data
Jonathan D. Power, Charles J. Lynch, Benjamin M. Silver, et al.
NeuroImage (2019) Vol. 201, pp. 116041-116041
Open Access | Times Cited: 121
Towards precise resting-state fMRI biomarkers in psychiatry: synthesizing developments in transdiagnostic research, dimensional models of psychopathology, and normative neurodevelopment
Linden Parkes, Theodore D. Satterthwaite, Danielle S. Bassett
Current Opinion in Neurobiology (2020) Vol. 65, pp. 120-128
Open Access | Times Cited: 95
A Comparison of Static and Dynamic Functional Connectivities for Identifying Subjects and Biological Sex Using Intrinsic Individual Brain Connectivity
Sreevalsan S. Menon, K. Krishnamurthy
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 82
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
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
Connectome-Based Predictive Modeling of Creativity Anxiety
Zhiting Ren, Richard J. Daker, Liang Shi, et al.
NeuroImage (2020) Vol. 225, pp. 117469-117469
Open Access | Times Cited: 68
Connectome-based models can predict early symptom improvement in major depressive disorder
Yumeng Ju, Corey Horien, Wentao Chen, et al.
Journal of Affective Disorders (2020) Vol. 273, pp. 442-452
Closed Access | Times Cited: 50
High-accuracy individual identification using a “thin slice” of the functional connectome
Lisa Byrge, Daniel P. Kennedy
Network Neuroscience (2018) Vol. 3, Iss. 2, pp. 363-383
Open Access | Times Cited: 56
Functional connectome fingerprinting accuracy in youths and adults is similar when examined on the same day and 1.5‐years apart
Maria Jalbrzikowski, Fuchen Liu, William Foran, et al.
Human Brain Mapping (2020) Vol. 41, Iss. 15, pp. 4187-4199
Open Access | Times Cited: 47
Optimizing differential identifiability improves connectome predictive modeling of cognitive deficits from functional connectivity in Alzheimer's disease
Diana Otero Svaldi, Joaquín Goñi, Kausar Abbas, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 11, pp. 3500-3516
Open Access | Times Cited: 35
Sex differences in default mode network connectivity in healthy aging adults
Bronte Ficek, Corey Horien, Suyeon Ju, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 10, pp. 6139-6151
Open Access | Times Cited: 25
Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations
Zhen Yang, Qawi K. Telesford, Alexandre R. Franco, et al.
NeuroImage (2020) Vol. 225, pp. 117489-117489
Open Access | Times Cited: 33
Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility
Damian Eke, Ida E. J. Aasebø, Simisola Akintoye, et al.
Neuroimage Reports (2021) Vol. 1, Iss. 4, pp. 100053-100053
Open Access | Times Cited: 29
Behavioral and brain signatures of substance use vulnerability in childhood
Kristina M. Rapuano, Monica D. Rosenberg, Maria T. Maza, et al.
Developmental Cognitive Neuroscience (2020) Vol. 46, pp. 100878-100878
Open Access | Times Cited: 30
Individual Uniqueness in the Neonatal Functional Connectome
Qiushi Wang, Yuehua Xu, Tengda Zhao, et al.
Cerebral Cortex (2021) Vol. 31, Iss. 8, pp. 3701-3712
Closed Access | Times Cited: 24
Spatial and temporal autocorrelation weave complexity in brain networks
Maxwell Shinn, Amber Hu, Laurel Turner, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 24
Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol
Corey Horien, Scuddy Fontenelle, Kohrissa Joseph, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 26
Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints
Kausar Abbas, Mintao Liu, Manasij Venkatesh, et al.
Brain Connectivity (2021) Vol. 11, Iss. 5, pp. 333-348
Open Access | Times Cited: 21
Identifying individuals using fNIRS-based cortical connectomes
Júlia de Souza Rodrigues, Fernanda L. Ribeiro, João Ricardo Sato, et al.
Biomedical Optics Express (2019) Vol. 10, Iss. 6, pp. 2889-2889
Open Access | Times Cited: 24
Smooth graph learning for functional connectivity estimation
Siyuan Gao, Xinyue Xia, Dustin Scheinost, et al.
NeuroImage (2021) Vol. 239, pp. 118289-118289
Open Access | Times Cited: 18
Connectome-based predictive modeling shows sex differences in brain-based predictors of memory performance
Suyeon Ju, Corey Horien, Xilin Shen, et al.
Frontiers in Dementia (2023) Vol. 2
Open Access | Times Cited: 7
Accurate prediction of individual subject identity and task, but not autism diagnosis, from functional connectomes
Lisa Byrge, Daniel P. Kennedy
Human Brain Mapping (2020) Vol. 41, Iss. 9, pp. 2249-2262
Open Access | Times Cited: 19
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