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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:

Role of graph architecture in controlling dynamical networks with applications to neural systems
Jason Z. Kim, Jonathan Soffer, Ari E. Kahn, et al.
Nature Physics (2017) Vol. 14, Iss. 1, pp. 91-98
Open Access | Times Cited: 129

Showing 26-50 of 129 citing articles:

Benchmarking Measures of Network Controllability on Canonical Graph Models
Elena Wu-Yan, Richard F. Betzel, Evelyn Tang, et al.
Journal of Nonlinear Science (2018) Vol. 30, Iss. 5, pp. 2195-2233
Open Access | Times Cited: 38
Controllability Ensured Leader Group Selection on Signed Multiagent Networks
Baike She, S. S. Mehta, C. Ton, et al.
IEEE Transactions on Cybernetics (2018) Vol. 50, Iss. 1, pp. 222-232
Closed Access | Times Cited: 38
Network architectures supporting learnability
Perry Zurn, Danielle S. Bassett
Philosophical Transactions of the Royal Society B Biological Sciences (2020) Vol. 375, Iss. 1796, pp. 20190323-20190323
Open Access | Times Cited: 36
Models of communication and control for brain networks: distinctions, convergence, and future outlook
Pragya Srivastava, Erfan Nozari, Jason Z. Kim, et al.
Network Neuroscience (2020) Vol. 4, Iss. 4, pp. 1122-1159
Open Access | Times Cited: 33
Structural control energy of resting‐state functional brain states reveals less cost‐effective brain dynamics in psychosis vulnerability
Daniela Zöller, Corrado Sandini, Marie Schaer, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 7, pp. 2181-2200
Open Access | Times Cited: 29
Control theory illustrates the energy efficiency in the dynamic reconfiguration of functional connectivity
Shikuang Deng, Jingwei Li, B.T. Thomas Yeo, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 19
Control adjustment costs limit goal flexibility: Empirical evidence and a computational account
Ivan Grahek, Xiamin Leng, Sebastian Musslick, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 12
The mechanics of correlated variability in segregated cortical excitatory subnetworks
Alex Negrón, Matthew P. Getz, Gregory Handy, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 28
Open Access | Times Cited: 4
Hybrid Neural Networks for Volitional Movement
Hongwei Mao, Brady A Hasse, Andrew B. Schwartz
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Non-assortative community structure in resting and task-evoked functional brain networks
Richard F. Betzel, Maxwell A. Bertolero, Danielle S. Bassett
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 33
Stability of spontaneous, correlated activity in mouse auditory cortex
Richard F. Betzel, Katherine C. Wood, Christopher F. Angeloni, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 12, pp. e1007360-e1007360
Open Access | Times Cited: 33
Structural Controllability of Directed Signed Networks
Yongqiang Guan, Aming Li, Long Wang
IEEE Transactions on Control of Network Systems (2021) Vol. 8, Iss. 3, pp. 1189-1200
Closed Access | Times Cited: 25
Changes in dynamic transitions between integrated and segregated states underlie visual hallucinations in Parkinson’s disease
Angeliki Zarkali, Andrea I. Luppi, Emmanuel A. Stamatakis, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 17
Optimal Control Costs of Brain State Transitions in Linear Stochastic Systems
Shunsuke Kamiya, Genji Kawakita, Shuntaro Sasai, et al.
Journal of Neuroscience (2022) Vol. 43, Iss. 2, pp. 270-281
Open Access | Times Cited: 16
Sleep deprivation effects on brain state dynamics are associated with dopamine D2 receptor availability via network control theory
Rui Zhang, Şükrü Barış Demiral, Dardo Tomasi, et al.
Biological Psychiatry (2024) Vol. 97, Iss. 1, pp. 89-96
Closed Access | Times Cited: 3
Clarifying cognitive control and the controllable connectome
John D. Medaglia
Wiley Interdisciplinary Reviews Cognitive Science (2018) Vol. 10, Iss. 1
Open Access | Times Cited: 31
Neurofeedback: Principles, appraisal, and outstanding issues
David Papo
European Journal of Neuroscience (2018) Vol. 49, Iss. 11, pp. 1454-1469
Open Access | Times Cited: 31
Data-Driven Approaches to Neuroimaging Analysis to Enhance Psychiatric Diagnosis and Therapy
Xiaolong Zhang, Urs Braun, Heike Tost, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2020) Vol. 5, Iss. 8, pp. 780-790
Open Access | Times Cited: 26
RE: Warnings and caveats in brain controllability
Fabio Pasqualetti, Shi Gu, Danielle S. Bassett
NeuroImage (2019) Vol. 197, pp. 586-588
Closed Access | Times Cited: 26
Modeling brain, symptom, and behavior in the winds of change
David M. Lydon‐Staley, Eli J. Cornblath, Ann S. Blevins, et al.
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 20-32
Open Access | Times Cited: 24
Information content of brain states is explained by structural constraints on state energetics
Leon Weninger, Pragya Srivastava, Dale Zhou, et al.
Physical review. E (2022) Vol. 106, Iss. 1
Open Access | Times Cited: 14
Alprazolam modulates persistence energy during emotion processing in first-degree relatives of individuals with schizophrenia: a network control study
Arun S. Mahadevan, Eli J. Cornblath, David M. Lydon‐Staley, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 8, pp. 3314-3323
Open Access | Times Cited: 8
Using network control theory to study the dynamics of the structural connectome
Linden Parkes, Jason Z. Kim, Jennifer Stiso, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 8
Brain state stability during working memory is explained by network control theory, modulated by dopamine D1/D2 receptor function, and diminished in schizophrenia
Urs Braun, Anais Harneit, Giulio Pergola, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 25
Cost-Aware Robust Control of Signed Networks by Using a Memetic Algorithm
Lijia Ma, Jianqiang Li, Qiuzhen Lin, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 10, pp. 4430-4443
Closed Access | Times Cited: 25

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