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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:

Estimating Multiscale Direct Causality Graphs in Neural Spike-Field Networks
Chuanmeizhi Wang, Maryam M. Shanechi
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 5, pp. 857-866
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Brain–machine interfaces from motor to mood
Maryam M. Shanechi
Nature Neuroscience (2019) Vol. 22, Iss. 10, pp. 1554-1564
Closed Access | Times Cited: 211
Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation
Yuxiao Yang, Shaoyu Qiao, Omid G. Sani, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 4, pp. 324-345
Closed Access | Times Cited: 115
Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification
Omid G. Sani, Hamidreza Abbaspourazad, Yan T. Wong, et al.
Nature Neuroscience (2020) Vol. 24, Iss. 1, pp. 140-149
Open Access | Times Cited: 129
Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior
Hamidreza Abbaspourazad, Mahdi Choudhury, Yan T. Wong, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 61
Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior
Parsa Vahidi, Omid G. Sani, Maryam M. Shanechi
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 7
Open Access | Times Cited: 14
Dynamic network modeling and dimensionality reduction for human ECoG activity
Yuxiao Yang, Omid G. Sani, Edward F. Chang, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 5, pp. 056014-056014
Closed Access | Times Cited: 53
Multi-scale neural decoding and analysis
Hung‐Yun Lu, Elizabeth S. Lorenc, Hanlin Zhu, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 045013-045013
Open Access | Times Cited: 33
Brain–computer interfaces for neuropsychiatric disorders
Lucine L. Oganesian, Maryam M. Shanechi
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 8, pp. 653-670
Closed Access | Times Cited: 5
Dynamical flexible inference of nonlinear latent factors and structures in neural population activity
Hamidreza Abbaspourazad, Eray Erturk, Bijan Pesaran, et al.
Nature Biomedical Engineering (2023) Vol. 8, Iss. 1, pp. 85-108
Closed Access | Times Cited: 12
A Multiscale Dynamical Modeling and Identification Framework for Spike-Field Activity
Hamidreza Abbaspourazad, Han-Lin Hsieh, Maryam M. Shanechi
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 6, pp. 1128-1138
Open Access | Times Cited: 32
Adaptive latent state modeling of brain network dynamics with real-time learning rate optimization
Yuxiao Yang, Parima Ahmadipour, Maryam M. Shanechi
Journal of Neural Engineering (2020) Vol. 18, Iss. 3, pp. 036013-036013
Closed Access | Times Cited: 30
Modeling multiscale causal interactions between spiking and field potential signals during behavior
Chuanmeizhi Wang, Bijan Pesaran, Maryam M. Shanechi
Journal of Neural Engineering (2022) Vol. 19, Iss. 2, pp. 026001-026001
Closed Access | Times Cited: 15
A point-process matched filter for event detection and decoding from population spike trains
Nitin Sadras, Bijan Pesaran, Maryam M. Shanechi
Journal of Neural Engineering (2019) Vol. 16, Iss. 6, pp. 066016-066016
Closed Access | Times Cited: 22
Modeling and inference methods for switching regime-dependent dynamical systems with multiscale neural observations
Christian Y Song, Han-Lin Hsieh, Bijan Pesaran, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 6, pp. 066019-066019
Open Access | Times Cited: 12
Unsupervised learning of stationary and switching dynamical system models from Poisson observations
Christian Y Song, Maryam M. Shanechi
Journal of Neural Engineering (2023) Vol. 20, Iss. 6, pp. 066029-066029
Open Access | Times Cited: 4
Event detection and classification from multimodal time series with application to neural data
Nitin Sadras, Bijan Pesaran, Maryam M. Shanechi
Journal of Neural Engineering (2024) Vol. 21, Iss. 2, pp. 026049-026049
Open Access | Times Cited: 1
Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity
Parima Ahmadipour, Omid G. Sani, Bijan Pesaran, et al.
Journal of Neural Engineering (2023) Vol. 21, Iss. 2, pp. 026001-026001
Open Access | Times Cited: 3
Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior
Parsa Vahidi, Omid G. Sani, Maryam M. Shanechi
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Dynamical flexible inference of nonlinear latent structures in neural population activity
Hamidreza Abbaspourazad, Eray Erturk, Bijan Pesaran, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Brain-Machine Interfaces for Closed-Loop Electrical Brain Stimulation in Neuropsychiatric Disorders
Omid G. Sani, Yuxiao Yang, Maryam M. Shanechi
Handbook of Neuroengineering (2023), pp. 1317-1342
Closed Access | Times Cited: 2
Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification (PSID)
Omid G. Sani, Bijan Pesaran, Maryam M. Shanechi
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 3
Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity
Parima Ahmadipour, Omid G. Sani, Bijan Pesaran, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Bayesian Decoder Models with a Discriminative Observation Process
Mohammad R. Rezaei, Alex E. Hadjinicolaou, Sydney S. Cash, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
Modeling and Inference Methods for Switching Regime-Dependent Dynamical Systems with Multiscale Neural Observations
Christian Y Song, Han-Lin Hsieh, Bijan Pesaran, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Efficient Estimation of Directed Connectivity in Nonlinear and Nonstationary Spiking Neuron Networks
Wenjun Chen, Yueming Wang, Yuxiao Yang
IEEE Transactions on Biomedical Engineering (2023) Vol. 71, Iss. 3, pp. 841-854
Closed Access
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