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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 network engineering perspective on probing and perturbing cognition with neurofeedback
Danielle S. Bassett, Ankit N. Khambhati
Annals of the New York Academy of Sciences (2017) Vol. 1396, Iss. 1, pp. 126-143
Open Access | Times Cited: 64

Showing 26-50 of 64 citing articles:

Improving Emotion Regulation Through Real-Time Neurofeedback Training on the Right Dorsolateral Prefrontal Cortex: Evidence From Behavioral and Brain Network Analyses
Linlin Yu, Quanshan Long, Yancheng Tang, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 26
Improving Clinical, Cognitive, and Psychosocial Dysfunctions in Patients with Schizophrenia: A Neurofeedback Randomized Control Trial
Renata Markiewicz, Agnieszka Markiewicz-Gospodarek, Beata Dobrowolska, et al.
Neural Plasticity (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 17
Large-scale dynamic modeling of task-fMRI signals via subspace system identification
Cassiano O. Becker, Danielle S. Bassett, Víctor M. Preciado
Journal of Neural Engineering (2018) Vol. 15, Iss. 6, pp. 066016-066016
Closed Access | Times Cited: 20
A framework for offline evaluation and optimization of real-time algorithms for use in neurofeedback, demonstrated on an instantaneous proxy for correlations
Michal Ramot, Javier González-Castillo
NeuroImage (2018) Vol. 188, pp. 322-334
Open Access | Times Cited: 17
Decoding Attentional State to Faces and Scenes Using EEG Brainwaves
Reza Abiri, Soheil Borhani, Yang Jiang, et al.
Complexity (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 16
Closed-loop Modulation of the Self-regulating Brain: A Review on Approaches, Emerging Paradigms, and Experimental Designs
Farhad Farkhondeh Tale Navi, Soomaayeh Heysieattalab, Dhakshin Ramanathan, et al.
Neuroscience (2021) Vol. 483, pp. 104-126
Closed Access | Times Cited: 13
Hyper-Frequency Network Topology Changes During Choral Singing
Viktor Müller, Julia A. M. Delius, Ulman Lindenberger
Frontiers in Physiology (2019) Vol. 10
Open Access | Times Cited: 15
What would a synthetic connectome look like?
Ithai Rabinowitch
Physics of Life Reviews (2019) Vol. 33, pp. 1-15
Closed Access | Times Cited: 13
Predicting future learning from baseline network architecture
Marcelo G. Mattar, Nicholas F. Wymbs, Andrew S. Bock, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2016)
Open Access | Times Cited: 12
EEG Feature Extraction Based on a Bilevel Network: Minimum Spanning Tree and Regional Network
Zhizeng Luo, Xianju Lu, Xugang Xi
Electronics (2020) Vol. 9, Iss. 2, pp. 203-203
Open Access | Times Cited: 12
The Controllability Analysis of Brain Networks During Rhythmic Propagation
R. Li, Chengxia Sun, Dong Miao, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 4, pp. 3812-3823
Closed Access | Times Cited: 1
Amygdala Self-Neuromodulation Capacity as a Window for Process-Related Network Recruitment
Guy Gurevitch, Nitzan Lubianiker, Taly Markovits, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Cross-species striatal hubs: linking anatomy to resting-state connectivity
Xiaomei Peng, Lucas R. Trambaiolli, Eun Young Choi, et al.
NeuroImage (2024) Vol. 301, pp. 120866-120866
Open Access | Times Cited: 1
An overview of electroencephalogram based human-computer interface
Md Mahmudul Hasan, Siti Armiza Mohd Aris, Norizam Sulaiman
Elsevier eBooks (2024), pp. 79-102
Closed Access | Times Cited: 1
Embracing complexity in psychiatry—from reductionistic to systems approaches
Döst Öngür, Martin P. Paulus
The Lancet Psychiatry (2024)
Closed Access | Times Cited: 1
The impact of neurofeedback on effective connectivity networks in chronic stroke patients: an exploratory study
Giulia Lioi, Adolfo Véliz-Tejo, Julie Coloigner, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 5, pp. 056052-056052
Open Access | Times Cited: 9
Altered controllability of white matter networks and related brain function changes in first-episode drug-naive schizophrenia
Biqiu Tang, Wenjing Zhang, Jiang Liu, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 4, pp. 1527-1535
Closed Access | Times Cited: 6
Evaluation of cognitive deficits in schizophrenia using event-related potentials and rehabilitation influences using EEG Biofeedback in patients diagnosed with schizophrenia
Renata Markiewcz, Jolanta Masiak
Psychiatria Polska (2019) Vol. 53, Iss. 6, pp. 1261-1273
Open Access | Times Cited: 9
Network topology dynamics of circulating biomarkers and cognitive performance in older Cytomegalovirus-seropositive or -seronegative men and women
Svetlana Di Benedetto, Ludmila Müller, Stefanie Rauskolb, et al.
Immunity & Ageing (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 9
Directly Exploring the Neural Correlates of Feedback-Related Reward Saliency and Valence During Real-Time fMRI-Based Neurofeedback
Bruno Direito, Manuel Mesa Ramos, João Pereira, et al.
Frontiers in Human Neuroscience (2021) Vol. 14
Open Access | Times Cited: 8
Reinforcement of Self-Regulated Brain Activity in Schizophrenia Patients Undergoing Rehabilitation
Renata Markiewicz, Beata Dobrowolska
BioMed Research International (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 7
Controllability of Structural Brain Networks and the Waxing and Waning of Negative Affect in Daily Life
Amanda L. McGowan, Linden Parkes, Xiaosong He, et al.
Biological Psychiatry Global Open Science (2021) Vol. 2, Iss. 4, pp. 432-439
Open Access | Times Cited: 6
Subgraphs of functional brain networks identify dynamical constraints of cognitive control
Ankit N. Khambhati, John D. Medaglia, Elisabeth A. Karuza, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2017)
Open Access | Times Cited: 5
Determinants of Real-Time fMRI Neurofeedback Performance and Improvement – a Machine Learning Mega-Analysis
Amelie Haugg, Fabian M. Renz, Andrew A. Nicholson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5
Fronto-limbic dysconnectivity leads to impaired brain network controllability in young people with bipolar disorder and those at high genetic risk
Jayson Jeganathan, Alistair Perry, Danielle S. Bassett, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2017)
Open Access | Times Cited: 4

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