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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:

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

Showing 1-25 of 38 citing articles:

Developmental increases in white matter network controllability support a growing diversity of brain dynamics
Evelyn Tang, Chad Giusti, Graham L. Baum, et al.
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 194
Colloquium: Control of dynamics in brain networks
Evelyn Tang, Danielle S. Bassett
Reviews of Modern Physics (2018) Vol. 90, Iss. 3
Open Access | Times Cited: 153
White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions
Jennifer Stiso, Ankit N. Khambhati, Tommaso Menara, et al.
Cell Reports (2019) Vol. 28, Iss. 10, pp. 2554-2566.e7
Open Access | Times Cited: 129
Generative models for network neuroscience: prospects and promise
Richard F. Betzel, Danielle S. Bassett
Journal of The Royal Society Interface (2017) Vol. 14, Iss. 136, pp. 20170623-20170623
Open Access | Times Cited: 119
A practical guide to methodological considerations in the controllability of structural brain networks
Teresa M. Karrer, Jason Z. Kim, Jennifer Stiso, et al.
Journal of Neural Engineering (2020) Vol. 17, Iss. 2, pp. 026031-026031
Open Access | Times Cited: 106
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.
NeuroImage Clinical (2018) Vol. 19, pp. 71-81
Open Access | Times Cited: 87
Optimization of energy state transition trajectory supports the development of executive function during youth
Zaixu Cui, Jennifer Stiso, Graham L. Baum, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 83
Time-evolving controllability of effective connectivity networks during seizure progression
Brittany H. Scheid, Arian Ashourvan, Jennifer Stiso, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 5
Open Access | Times Cited: 66
Warnings and caveats in brain controllability
Chengyi Tu, Rodrigo P. Rocha, Maurizio Corbetta, et al.
NeuroImage (2018) Vol. 176, pp. 83-91
Open Access | Times Cited: 77
Predicting Network Controllability Robustness: A Convolutional Neural Network Approach
Yang Lou, Yaodong He, Lin Wang, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 5, pp. 4052-4063
Open Access | Times Cited: 63
Heritability and Cognitive Relevance of Structural Brain Controllability
Won Hee Lee, Amanda Rodrigue, David C. Glahn, et al.
Cerebral Cortex (2019) Vol. 30, Iss. 5, pp. 3044-3054
Open Access | Times Cited: 55
Knowledge-Based Prediction of Network Controllability Robustness
Yang Lou, Yaodong He, Lin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 10, pp. 5739-5750
Open Access | Times Cited: 39
Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition
Yang Lou, Lin Wang, Kim Fung Tsang, et al.
IEEE Transactions on Circuits and Systems I Regular Papers (2020) Vol. 67, Iss. 9, pp. 3163-3174
Open Access | Times Cited: 34
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
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
Optimization of Associative Knowledge Graph using TF-IDF based Ranking Score
Hyunbin Kim, Ji-Won Baek, Kyungyong Chung
Applied Sciences (2020) Vol. 10, Iss. 13, pp. 4590-4590
Open Access | Times Cited: 23
Linear Dynamics and Control of Brain Networks
Jason Z. Kim, Danielle S. Bassett
Springer eBooks (2020), pp. 497-518
Closed Access | Times Cited: 22
Control-Based Graph Embeddings with Data Augmentation for Contrastive Learning
Obaid Ullah Ahmad, Anwar Said, Mudassir Shabbir, et al.
2022 American Control Conference (ACC) (2024) Vol. 30, pp. 27-32
Open Access | Times Cited: 2
Control of brain network dynamics across diverse scales of space and time
Evelyn Tang, Harang Ju, Graham L. Baum, et al.
Physical review. E (2020) Vol. 101, Iss. 6
Open Access | Times Cited: 20
Language Tasks and the Network Control Role of the Left Inferior Frontal Gyrus
John D. Medaglia, Denise Y. Harvey, Apoorva Kelkar, et al.
eNeuro (2021) Vol. 8, Iss. 5, pp. ENEURO.0382-20.2021
Open Access | Times Cited: 14
Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks
Shubhankar P. Patankar, Jason Z. Kim, Fabio Pasqualetti, et al.
Network Neuroscience (2020) Vol. 4, Iss. 4, pp. 1091-1121
Open Access | Times Cited: 12
Structural control energy of resting-state functional brain states reveals inefficient brain dynamics in psychosis vulnerability
Daniela Zöller, Corrado Sandini, Marie Schaer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 10
Controllability maximization of large-scale systems using projected gradient method
Kazuhiro Sato, Akiko Takeda
IEEE Control Systems Letters (2020), pp. 1-1
Open Access | Times Cited: 8
Network structure of cascading neural systems predicts stimulus propagation and recovery
Harang Ju, Jason Z. Kim, John M. Beggs, et al.
Journal of Neural Engineering (2020) Vol. 17, Iss. 5, pp. 056045-056045
Open Access | Times Cited: 8
Controllability Analysis of Functional Brain Networks
Shikuang Deng, Shi Gu
arXiv (Cornell University) (2020)
Open Access | Times Cited: 8
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