We stand with Ukraine

We stand with Ukraine

Hu Wang

Orcid: 0000-0003-3785-5689

Affiliations:

Central University of Finance and Economics, School of Statistics and Mathematics, Beijing, China
Beijing Jiaotong University, Department of Mathematics, China

According to our database¹, Hu Wang authored at least 21 papers between 2010 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

Legend:

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PhD thesis

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Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2025

Quasi-synchronization of discrete-time tempered fractional-order memristive neural networks with time delays.

[BibT_eX]

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Neurocomputing, 2025

Event-triggered control for projective synchronization fractional-order switched coupled neural networks with higher-order interactions.

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Neurocomputing, 2025

2024

Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation.

[BibT_eX]

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Neural Networks, 2024

Successive lag synchronization of distributed-order multilayer neural networks with the short-term memory property.

[BibT_eX]

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Appl. Math. Comput., 2024

2023

Adaptive control for output projective synchronization of fractional-order hybrid coupled neural networks with mismatched dimensions.

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Neurocomputing, November, 2023

2022

Stability and synchronization of fractional-order generalized reaction-diffusion neural networks with multiple time delays and parameter mismatch.

[BibT_eX]

[DOI]

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Neural Comput. Appl., 2022

Mean-square synchronization of fractional-order stochastic complex network via pinning control.

[BibT_eX]

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Neurocomputing, 2022

2020

Synchronization for commensurate Riemann-Liouville fractional-order memristor-based neural networks with unknown parameters.

[BibT_eX]

[DOI]

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J. Frankl. Inst., 2020

Synchronization for fractional-order discrete-time neural networks with time delays.

[BibT_eX]

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Appl. Math. Comput., 2020

2019

Projective synchronization for fractional-order memristor-based neural networks with time delays.

[BibT_eX]

[DOI]

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Neural Comput. Appl., 2019

Stability and synchronization for Riemann-Liouville fractional-order time-delayed inertial neural networks.

[BibT_eX]

[DOI]

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Neurocomputing, 2019

2016

Synchronization for fractional-order time-delayed memristor-based neural networks with parameter uncertainty.

[BibT_eX]

[DOI]

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J. Frankl. Inst., 2016

Dynamical group consensus of heterogenous multi-agent systems with input time delays.

[BibT_eX]

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Neurocomputing, 2016

2015

Stability Analysis of Fractional-Order Neural Networks with Time Delay.

[BibT_eX]

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Neural Process. Lett., 2015

Global stability analysis of fractional-order Hopfield neural networks with time delay.

[BibT_eX]

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Neurocomputing, 2015

2014

Stability analysis of fractional-order Hopfield neural networks with time delays.

[BibT_eX]

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Neural Networks, 2014

Bifurcation analysis of a two-dimensional simplified Hodgkin-Huxley model exposed to external electric fields.

[BibT_eX]

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Neural Comput. Appl., 2014

Dynamical Analysis of the Lorenz-84 Atmospheric Circulation Model.

[BibT_eX]

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J. Appl. Math., 2014

Robust Synchronization of Hyperchaotic Systems with Uncertainties and External Disturbances.

[BibT_eX]

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J. Appl. Math., 2014

2013

Two-parameter bifurcation in a two-dimensional simplified Hodgkin-Huxley model.

[BibT_eX]

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Commun. Nonlinear Sci. Numer. Simul., 2013

2010

The dynamical analysis of a two-dimensional simplified Hodgkin-Huxley model.

[BibT_eX]

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Proceedings of the Sixth International Conference on Natural Computation, 2010

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