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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:

A brain-based general measure of attention
Kwangsun Yoo, Monica D. Rosenberg, Young Hye Kwon, et al.
Nature Human Behaviour (2022) Vol. 6, Iss. 6, pp. 782-795
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

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
Gaze-based attention refocusing training in virtual reality for adult attention-deficit/hyperactivity disorder
Benjamin Selaskowski, Laura Asché, Annika Wiebe, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 16
Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention
Henry M. Jones, Kwangsun Yoo, Marvin M. Chun, et al.
Journal of Neuroscience (2024) Vol. 44, Iss. 14, pp. e1543232024-e1543232024
Closed Access | Times Cited: 5
Individualized prediction of multi-domain intelligence quotient in bipolar disorder patients using resting-state functional connectivity
Xiaoyu Li, Wei Wei, Linze Qian, et al.
Brain Research Bulletin (2025), pp. 111238-111238
Open Access
Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition
Hang Yang, Guowei Wu, Yaoxin Li, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 12
Open Access
Functional connectome stability and optimality are markers of cognitive performance
Anna Corriveau, Kwangsun Yoo, Young Hye Kwon, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 8, pp. 5025-5041
Open Access | Times Cited: 17
Functional brain connectivity predicts sleep duration in youth and adults
Anurima Mummaneni, Omid Kardan, Andrew J. Stier, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 18, pp. 6293-6307
Open Access | Times Cited: 10
Connectome caricatures: removing large-amplitude co-activation patterns in resting-state fMRI emphasizes individual differences
Raimundo Rodriguez, Stephanie Noble, Chris C. Camp, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
How much situation awareness does the driver have when driving autonomously? A study based on driver attention allocation
Mengfan Li, Zhongxiang Feng, Weihua Zhang, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 156, pp. 104324-104324
Closed Access | Times Cited: 6
Excel optimization pedagogy using Van Hiele learning model of spatial abilities with Force Concept Inventory Test MRI and haptic learner data for COVID-19 online challenge
Sunil Dehipawala, Dimitrios Kokkinos, Rex Taibu, et al.
(2024)
Open Access | Times Cited: 1
Chronic pain as an emergent property of a complex system and the potential roles of psychedelic therapies
Maya Armstrong, Joel Castellanos, Devon Christie
Frontiers in Pain Research (2024) Vol. 5
Open Access | Times Cited: 1
Brain network dynamics predict moments of surprise across contexts
Z. Zhang, Monica D. Rosenberg
Nature Human Behaviour (2024)
Closed Access | Times Cited: 1
High performers demonstrate greater neural synchrony than low performers across behavioral domains
Taylor A. Chamberlain, Anna Corriveau, Hayoung Song, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-17
Open Access | Times Cited: 1
Integrating brain function and structure in the study of the human attentional networks: a functionnectome study
Mar Martín-Signes, Pedro M. Paz‐Alonso, Michel Thiebaut de Schotten, et al.
Brain Structure and Function (2024) Vol. 229, Iss. 7, pp. 1665-1679
Open Access | Times Cited: 1
A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth
Corey Horien, Abigail S. Greene, Xilin Shen, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 10, pp. 6320-6334
Open Access | Times Cited: 7
Edge-based general linear models capture high-frequency fluctuations in attention
Henry M. Jones, Kwangsun Yoo, Marvin M. Chun, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Unstuck in Metaverse: Persuasive User Navigation using Automated Avatars
Mu Mu, Murtada Dohan
IEEE Communications Magazine (2023) Vol. 61, Iss. 9, pp. 56-62
Closed Access | Times Cited: 3
Connectome-based fingerprint of motor impairment is stable along the course of Parkinson’s disease
Giuseppe Rabini, Enrica Pierotti, Claudia Meli, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 17, pp. 9896-9907
Closed Access | Times Cited: 2
Obliviate! Reviewing Neural Fundamentals of Intentional Forgetting from a Meta-Analytic Perspective
Olga Lucía Gamboa, Hu Chuan-Peng, Christian E. Salas, et al.
Biomedicines (2022) Vol. 10, Iss. 7, pp. 1555-1555
Open Access | Times Cited: 3
Functional brain networks predicting sustained attention are not specific to perceptual modality
Anna Corriveau, Jin Ke, Hiroki Terashima, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Modeling the connectome of joint attention in infancy predicts Theory of Mind in preschool-age
Clara Schüler, Philipp Berger, Charlotte Grosse Wiesmann
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A disinhibitory basal forebrain to cortex projection supports sustained attention
Shu-Jing Li, Balázs Hangya, Unmukt Gupta, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Connectome-based Predictive Models of General and Specific Cognitive Control
Su Qu, Yueyue Qu, Kwangsun Yoo, et al.
(2024)
Open Access
Precision Enhancement in Sustained Visual Attention Training Platforms: Offline EEG Signal Analysis for Classifier Fine-Tuning
Maryam Norouzi, Mohammad Zaeri Amirani, Yalda Shahriari, et al.
(2024), pp. 1-5
Open Access
Brain network dynamics predict moments of surprise across contexts
Z. Zhang, Monica D. Rosenberg
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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