Existence and uniform stability analysis of fractional-order complex-valued neural networks with time delays R Rakkiyappan, J Cao, G Velmurugan IEEE Transactions on Neural Networks and Learning Systems 26 (1), 84-97, 2014 | 272 | 2014 |
Finite-time synchronization of fractional-order memristor-based neural networks with time delays G Velmurugan, R Rakkiyappan, J Cao Neural Networks 73, 36-46, 2016 | 256 | 2016 |
Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays R Rakkiyappan, G Velmurugan, J Cao Nonlinear Dynamics 78 (4), 2823-2836, 2014 | 173 | 2014 |
Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays X Li, R Rakkiyappan, G Velmurugan Information Sciences 294, 645-665, 2015 | 149 | 2015 |
Stability analysis of fractional-order complex-valued neural networks with time delays R Rakkiyappan, G Velmurugan, J Cao Chaos, Solitons & Fractals 78, 297-316, 2015 | 108 | 2015 |
Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay G Velmurugan, R Rakkiyappan, V Vembarasan, J Cao, A Alsaedi Neural Networks 86, 42-53, 2017 | 106 | 2017 |
Complete stability analysis of complex-valued neural networks with time delays and impulses R Rakkiyappan, G Velmurugan, X Li Neural Processing Letters 41, 435-468, 2015 | 81 | 2015 |
Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays G Velmurugan, R Rakkiyappan, J Cao Neural Networks 67, 14-27, 2015 | 78 | 2015 |
Hybrid projective synchronization of fractional-order memristor-based neural networks with time delays G Velmurugan, R Rakkiyappan Nonlinear Dynamics 83, 419-432, 2016 | 75 | 2016 |
Analysis of global O (t− α) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays R Rakkiyappan, R Sivaranjani, G Velmurugan, J Cao Neural Networks 77, 51-69, 2016 | 66 | 2016 |
Dynamics of fractional-order delay differential model for tumor-immune system FA Rihan, G Velmurugan Chaos, Solitons & Fractals 132, 109592, 2020 | 64 | 2020 |
Multiple μ-stability analysis of complex-valued neural networks with unbounded time-varying delays R Rakkiyappan, G Velmurugan, J Cao Neurocomputing 149, 594-607, 2015 | 64 | 2015 |
Event-triggered H∞ state estimation for semi-Markov jumping discrete-time neural networks with quantization R Rakkiyappan, K Maheswari, G Velmurugan, JH Park Neural Networks 105, 236-248, 2018 | 61 | 2018 |
Passivity analysis of memristor-based complex-valued neural networks with time-varying delays G Velmurugan, R Rakkiyappan, S Lakshmanan Neural Processing Letters 42, 517-540, 2015 | 60 | 2015 |
Stability analysis of memristor-based fractional-order neural networks with different memductance functions R Rakkiyappan, G Velmurugan, J Cao Cognitive neurodynamics 9, 145-177, 2015 | 54 | 2015 |
Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays R Rakkiyappan, K Sivaranjani, G Velmurugan Neurocomputing 144, 391-407, 2014 | 54 | 2014 |
Global dissipativity of memristor-based complex-valued neural networks with time-varying delays R Rakkiyappan, G Velmurugan, X Li, D O’Regan Neural Computing and Applications 27, 629-649, 2016 | 52 | 2016 |
A fractional-order model for Ebola virus infection with delayed immune response on heterogeneous complex networks VP Latha, FA Rihan, R Rakkiyappan, G Velmurugan Journal of Computational and Applied Mathematics 339, 134-146, 2018 | 50 | 2018 |
Stability analysis of memristor‐based complex‐valued recurrent neural networks with time delays R Rakkiyappan, G Velmurugan, FA Rihan, S Lakshmanan Complexity 21 (4), 14-39, 2016 | 47 | 2016 |
A fractional-order delay differential model for Ebola infection and CD8 T-cells response: Stability analysis and Hopf bifurcation VP Latha, FA Rihan, R Rakkiyappan, G Velmurugan International Journal of Biomathematics 10 (08), 1750111, 2017 | 44 | 2017 |