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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:

Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low‐dimensional space of brain dynamics
Siyuan Gao, Gal Mishne, Dustin Scheinost
Human Brain Mapping (2021) Vol. 42, Iss. 14, pp. 4510-4524
Open Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

Investigating brain dynamics and their association with cognitive control in opioid use disorder using naturalistic and drug cue paradigms
Jean Ye, Saloni Mehta, Hannah Peterson, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Brain-body states embody complex temporal dynamics
Daniel S. Kluger, Micah Allen, joachim gross
(2024)
Open Access | Times Cited: 1
Common Threads: Altered Interoceptive Processes as Transdiagnostic Mechanisms Across Affective and Anxiety disorders
Martina Saltafossi, Detlef Heck, Daniel S. Kluger, et al.
(2024)
Open Access | Times Cited: 1
Symmetry breaking organizes the brain's resting state manifold
J. Fousek, Giovanni Rabuffo, Kashyap Gudibanda, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 7
Uncovering shape signatures of resting‐state functional connectivity by geometric deep learning on Riemannian manifold
Tingting Dan, Zhuobin Huang, Hongmin Cai, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 13, pp. 3970-3986
Open Access | Times Cited: 7
OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network
Hongmin Cai, Tingting Dan, Zhuobin Huang, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023)
Closed Access | Times Cited: 3
Learning brain dynamics for decoding and predicting individual differences
Joyneel Misra, Srinivas Govinda Surampudi, Manasij Venkatesh, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 9, pp. e1008943-e1008943
Open Access | Times Cited: 8
Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics
Hayoung Song, Won Mok Shim, Monica D. Rosenberg
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
Is resting state fMRI better than individual characteristics at predicting cognition?
Amir Omidvarnia, Leonard Sasse, Daouia I. Larabi, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Probing latent brain dynamics in Alzheimer’s disease via recurrent neural network
Tong Li, Jiang Wang, Shanshan Li, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 1183-1195
Closed Access | Times Cited: 2
Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness
Chloé Gomez, Lynn Uhrig, Vincent Frouin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Manifold Regularizer for High-Resolution fMRI Joint Reconstruction and Dynamic Quantification
Shouchang Guo, Jeffrey A. Fessler, Douglas C. Noll
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 8, pp. 2937-2948
Closed Access
An Adaptively Weighted Averaging Method for Regional Time Series Extraction of fMRI-Based Brain Decoding
Jianfei Zhu, Baichun Wei, Jiaru Tian, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 5984-5995
Open Access
Common threads: Altered interoceptive processes as transdiagnostic mechanisms across affective and anxiety disorders
Martina Saltafossi, Detlef Heck, Daniel S. Kluger, et al.
Journal of Affective Disorders (2024)
Open Access
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold
Yanhong Fei, Yingjie Liu, Chentao Jia, et al.
ACM Computing Surveys (2024)
Open Access
Manifold Learning for fMRI time-varying FC
Javier González-Castillo, Isabel S. Fernandez, Ka Chun Lam, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Real eigenstructure of regular simplex tensors
Adam Czapliński, Thorsten Raasch, Jonathan Steinberg
Advances in Applied Mathematics (2023) Vol. 148, pp. 102521-102521
Open Access | Times Cited: 1
A neural signature of social support mitigates negative emotion
Rui Pei, Andrea L. Courtney, Ian T. Ferguson, et al.
(2023)
Open Access | Times Cited: 1
Tracking Disordered Brain Dynamics in Psychiatry
Linden Parkes, Dani S. Bassett
Biological Psychiatry (2023) Vol. 94, Iss. 7, pp. 528-530
Closed Access | Times Cited: 1
Characterization of Brain Activity Patterns Across States of Consciousness Based on Variational Auto-Encoders
Chloé Gomez, Antoine Grigis, Lynn Uhrig, et al.
Lecture notes in computer science (2022), pp. 419-429
Closed Access | Times Cited: 2
Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition
Tingting Dan, Zhuobin Huang, Hongmin Cai, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022), pp. 1-4
Closed Access | Times Cited: 1
Vigilance associates with the low-dimensional structure of fMRI data
Shengchao Zhang, Sarah E. Goodale, Benjamin P. Gold, et al.
NeuroImage (2022) Vol. 267, pp. 119818-119818
Open Access | Times Cited: 1
Rescuing missing data in connectome-based predictive modeling
Qinghao Liang, Rongtao Jiang, Brendan Adkinson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Connectivity Regression
Neel Desai, Veera Baladandayuthapani, Russell T. Shinohara, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Approximating the Manifold Structure of Attributed Incentive Salience from Large-scale Behavioural Data
Valerio Bonometti, Mathieu J. Ruiz, Anders Drachen, et al.
Computational Brain & Behavior (2022) Vol. 6, Iss. 2, pp. 280-315
Open Access

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