On the public citation graph
Comparison between the dynamic behaviour of Chua–Yang and full‐range cellular neural networks
0 signed · 50 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-007x(199605/06)24:3<269::aid-cta915>3.0.co;2-lopenalex-snapshot
Equilibrium analysis of non-symmetric CNNs
inferredcites →https://doi.org/10.1002/(sici)1097-007x(199605/06)24:3<341::aid-cta920>3.0.co;2-lopenalex-snapshot
A VLSI-oriented continuous-time CNN model
inferredcites →https://doi.org/10.1002/cta.4490200504openalex-snapshot
Cellular neural networks with non‐linear and delay‐type template elements and non‐uniform grids
inferredcites →https://doi.org/10.1002/cta.4490200506openalex-snapshot
On the universe of stable cellular neural networks
inferredcites →https://doi.org/10.1002/cta.4490210505openalex-snapshot
On the dynamic behaviour of two‐cell cellular neural networks
inferredcites →https://doi.org/10.1002/cta.4490230204openalex-snapshot
Global dynamic behaviour of a three‐cell connected component detector cnn
inferredcites →https://doi.org/10.1007/978-1-4612-1140-2openalex-snapshot
Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields
inferredcites →https://doi.org/10.1023/a:1008109505419openalex-snapshot
On Stability of Cellular Neural Networks
inferredcites →https://doi.org/10.1109/31.135755openalex-snapshot
A chaotic attractor with cellular neural networks
inferredcites →https://doi.org/10.1109/31.7601openalex-snapshot
Cellular neural networks: applications
inferredcites →https://doi.org/10.1109/31.81867openalex-snapshot
Stability of cellular neural networks with opposite-sign templates
inferredcites →https://doi.org/10.1109/81.222797openalex-snapshot
Bifurcation and chaos in cellular neural networks
inferredcites →https://doi.org/10.1109/81.311541openalex-snapshot
Stability of cellular neural networks and delayed cellular neural networks with nonpositive templates and nonmonotonic output functions
inferredcites →https://doi.org/10.1109/81.563629openalex-snapshot
A more rigorous proof of complete stability of cellular neural networks
inferredcites →https://doi.org/10.1109/81.703843openalex-snapshot
On the complete stability of nonsymmetric cellular neural networks
inferredcites →https://doi.org/10.1109/81.989168openalex-snapshot
Complex dynamic phenomena in space-invariant cellular neural networks
inferredcites →https://doi.org/10.1109/ijcnn.2002.1007815openalex-snapshot
On the dynamic behavior of cellular neural networks
inferredcites →https://doi.org/10.1137/0516030openalex-snapshot
Systems of Differential Equations that are Competitive or Cooperative II: Convergence Almost Everywhere
inferredcites →https://doi.org/10.14510/lm.v18i0.488.g360openalex-snapshot
Asymptotic behavior of differential equations
inferredcites →https://doi.org/10.2307/2315010openalex-snapshot
Stability and Asymptotic Behavior of Differential Equations.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cta.1797openalex-snapshot
A study on semiflows generated by cooperative full‐range CNNs
inferred← citeshttps://doi.org/10.1002/cta.1965openalex-snapshot
Long transient oscillations in a class of cooperative cellular neural networks
inferred← citeshttps://doi.org/10.1002/cta.451openalex-snapshot
On global exponential stability of standard and full‐range CNNs
inferred← citeshttps://doi.org/10.1002/cta.717openalex-snapshot
Łojasiewicz inequality and exponential convergence of the full‐range model of CNNs
inferred← citeshttps://doi.org/10.1038/s41928-025-01555-3openalex-snapshot
Memristive cellular neural networks for fast in-pixel computing
inferred← citeshttps://doi.org/10.1109/cnna.2002.1035032openalex-snapshot
On stability of full range and polynomial type CNNs
inferred← citeshttps://doi.org/10.1109/cnna.2008.4588648openalex-snapshot
Extended LaSalle’s invariance principle for full-range cellular neural networks
inferred← citeshttps://doi.org/10.1109/cnna.2008.4588684openalex-snapshot
Sufficient conditions for limit cycles in autonomous antisymmetric two neuron CNNs
inferred← citeshttps://doi.org/10.1109/cnna.2010.5430298openalex-snapshot
Simplified state update calculation for fast and accurate digital emulation of CNN dynamics
inferred← citeshttps://doi.org/10.1109/cnna.2012.6331406openalex-snapshot
Monotonicity of semiflows generated by cooperative delayed full-range CNNs
inferred← citeshttps://doi.org/10.1109/ecctd.2009.5275040openalex-snapshot
Comparison between chua-yang and hyperbolic CNNs
inferred← citeshttps://doi.org/10.1109/iscas.2003.1206425openalex-snapshot
On dynamic behavior of full range CNNs
inferred← citeshttps://doi.org/10.1109/iscas.2006.1693049openalex-snapshot
Full-range cellular neural networks and differential variational inequalities
inferred← citeshttps://doi.org/10.1109/iscas.2008.4541681openalex-snapshot
A study on global robust stability of delayed full-range cellular neural networks
inferred← citeshttps://doi.org/10.1109/tcsi.2004.827627openalex-snapshot
Periodic Oscillations and Bifurcations in Cellular Nonlinear Networks
inferred← citeshttps://doi.org/10.1109/tcsi.2007.902607openalex-snapshot
Dynamical Analysis of Full-Range Cellular Neural Networks by Exploiting Differential Variational Inequalities
inferred← citeshttps://doi.org/10.1109/tcsi.2008.925820openalex-snapshot
Lyapunov Method and Convergence of the Full-Range Model of CNNs
inferred← citeshttps://doi.org/10.1109/tcsi.2013.2265959openalex-snapshot
Convergent Dynamics of Nonreciprocal Differential Variational Inequalities Modeling Neural Networks
inferred← citeshttps://doi.org/10.1109/tcsii.2006.876466openalex-snapshot
Necessary and Sufficient Condition for a Class of Planar Dynamical Systems Related to CNNs to be Completely Stable
inferred← citeshttps://doi.org/10.1109/tim.2009.2026619openalex-snapshot
An Innovative Method for Thermal Characterization of Automotive Electronic Devices Based on CNNs
inferred← citeshttps://doi.org/10.1109/tnn.2011.2110661openalex-snapshot
Global Robust Stability Criteria for Interval Delayed Full-Range Cellular Neural Networks
inferred← citeshttps://doi.org/10.1142/s0218127410026368openalex-snapshot
TWO NEURON CNNS: SEARCH FOR LIMIT CYCLES
inferred← citeshttps://doi.org/10.1142/s0218127412500356openalex-snapshot
CLASSIFYING WITH A TWO NEURON CNN
inferred← citeshttps://doi.org/10.1142/s0218127423501158openalex-snapshot
Convergence of Discrete-Time Cellular Neural Networks with Application to Image Processing
inferred← citeshttps://doi.org/10.1155/2009/730968openalex-snapshot
Extended LaSalle's Invariance Principle for Full-Range Cellular Neural Networks
inferred← citeshttps://doi.org/10.1155/2021/6613433openalex-snapshot
Dominating Topological Analysis and Comparison of the Cellular Neural Network
inferred← citeshttps://doi.org/10.15388/namc.2020.25.15717openalex-snapshot
Nonlinear dynamics of full-range CNNs with time-varying delays and variable coefficients
inferred← citeshttps://doi.org/10.19070/2326-3350openalex-snapshot
International Journal of Food Science, Nutrition and Dietetics
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.