1. Q1: N. Gunasekaran, Guisheng Zhai and Qiang Yu “Sampled-Data Synchronization of Delayed Multi-Agent Networks and Its Application to Coupled Circuit”, Neurocomputing, https://doi.org/10.1016/j.neucom.2020.05.060, Accepted 2020, Impact Factor: 4.072,

2. Q1: N. Gunasekaran, and Young Hoon Joo “Nie-Tan Fuzzy Method of Faulttolerant Wind Energy Conversion Systems via Sampled-data Control”, IET Control Theory & Applications, DOI: 10.1049/iet-cta.2019.0816, Accepted 2020, Impact Factor: 3.526

3. Q3: M. Syed Ali, L. Palanisamy and N. Gunasekaran, “ Finite-Time Exponential Synchronization of Reaction-Diffusion Delayed Complex-Dynamical Networks”, Discrete & Continuous Dynamical Systems - S, Accepted 2020, Impact Factor: 0.545

1. Q1: N. Gunasekaran, M. Syed Ali, and S. Pavithra “ Finite-Time L∞ Performance State Estimation of Recurrent Neural Networks with Sampled-Data Signals” Neural Processing Letters (2019), https://doi.org/10.1007/s11063-019-10114-9, Impact Factor: 2.591

2. Q1: N. Gunasekaran, R. Saravanakumar, M. Syed Ali, and Quanxin Zhu “Exponential Sampled-data control for T-S Fuzzy Systems: Application to Chua’s circuit” International Journal of Systems Science. 2019. Impact Factor: 2.469 https://doi.org/10.1080/00207721.2019.1691753

3. Q1: N. Gunasekaran, and Guisheng Zhai “Sampled-data State-Estimation of Delayed Complex-Valued Neural Networks” International Journal of Systems Science, Accepted 2019, https://doi.org/10.1080/00207721.2019.1704095, Impact Factor: 2.469

4. Q1: N. Gunasekaran, and Guisheng Zhai “Robust Stability Analysis of Switched Delayed Complex-Valued Neural Networks” Neurocomputing, Volume 367, 20 November 2019, Pages 198-206. Impact Factor: 4.072

5. Q1: N. Gunasekaran, and Young Hoon Joo “Stochastic Sampled-data Controller for T-S Fuzzy Chaotic Systems and Its Application”, IET Control Theory & Applications, DOI: 10.1049/iet-cta.2018.5971, 2019, Impact Factor: 3.526

6. Q1: N. Gunasekaran, R. Saravanakumar, Young Hoon Joo, Han Sol Kim, “Finitetime synchronization of sampled-data T-S fuzzy complex dynamical networks with coupling delay subject to average dwell-time approach”, (Fuzzy sets and Systems). https://doi.org/10.1016/j.fss.2019.01.007, 2019. Impact Factor: 2.907

7. Q1: N. Gunasekaran, and Young-Hoon Joo. “Robust Sampled-data Fuzzy Control for Nonlinear Systems and Its Applications: Free-weight Matrix Method.” IEEE Transactions on Fuzzy Systems (2019), DOI: 10.1109/TFUZZ.2019.2893566. Impact Factor: 8.759

8. Q2: M. Syed Ali, N. Gunasekaran, and Jinde Cao. "Sampled-Data State Estimation for Neural Networks with Additive Time-Varying Delays." Acta Mathematica Scientia 39, no. 1 (2019): 195-213. Impact Factor: 0.992

1. Q1: M. Syed Ali, N. Gunasekaran, and Young Hoon Joo. "Sampled-Data State Estimation of Neutral Type Neural Networks with Mixed Time-Varying Delays." Neural Processing Letters (2018): 1-22. DOI:10.1007/s11063-018-9946-x, Impact Factor: 2.591

2. Q1: M. Syed Ali, N. Gunasekaran, R. Agalya, and Young Hoon Joo. "Non-fragile synchronization of mixed delayed neural networks with randomly occurring controller gain fluctuations." International Journal of Systems Science 49, no. 16 (2018): 3354-3364. Impact Factor: 2.469

3. Q1: M. Syed Ali, N. Gunasekaran, “Sampled-data state estimation of Markovian jump static neural networks with interval time-varying delays, Journal of Computational and Applied Mathematics, Volume 343, 1 December 2018, Pages 217-229. Impact Factor: 1.632

4. Q2: M. Syed Ali, N. Gunasekaran, “State estimation of static neural networks with interval time-varying delays and sampled-data control." Computational and Applied Mathematics 37, no. 1 (2018): 183-201. Impact Factor: 0.863

5 Q1: M. Syed Ali, K. Meenakshi, N. Gunasekaran, K. Murugan, “Dissipativity analysis of discrete-time Markovian jumping neural networks with time-varying delays." Journal of Difference Equations and Applications 24, no. 6 (2018): 859-871. Impact Factor: 0.974

6. Q2: M. Syed Ali, K. Meenakshi, N. Gunasekaran, “Finite-time H∞ boundedness of discrete-time Markovian jump neural networks with time-varying delays, International Journal of Control, Automation and Systems, Vol. 16, No. 1, pp.181-188, February 2018. Impact Factor: 2.173

7. Q1: M. Syed Ali, Quanxin Zhu, S. Pavithra, N. Gunasekaran, “A study on ⟨(Q, S, R)-γ⟩-dissipative synchronization of coupled reaction-diffusion neural networks with time-varying delays”, International Journal of Systems Science, Vol. 49, No. 4, pp. 755-765, January 2018. Impact Factor: 2.469

8. Q1: M. Syed Ali, K. Meenakshi, N. Gunasekaran, M. Usha, “Finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays”, Iranian Journal of Fuzzy Systems 15, no. 4 (2018): 93-107. Impact Factor: 1.496

9. Q2: M. Syed Ali, N. Gunasekaran, “State estimation of static neural networks with interval time-varying delays and sampled-data control." Computational and Applied Mathematics 37, no. 1 (2018): 183-201. Impact Factor: 0.863

1. Q1: M. Syed Ali, N. Gunasekaran, Quanxin Zhu, “State estimation of T–S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control”, Fuzzy Sets and Systems, Vol. 306, pp. 87-104, January 2017. Impact Factor: 2.907

2. Q1: Eylem Yucel, M Syed Ali, N Gunasekaran, Sabri Arik, “Sampled-data filtering of Takagi–Sugeno fuzzy neural networks with interval time-varying delays”, Fuzzy Sets and Systems, Vol. 316, pp. 69-81, June 2017. Impact Factor: 2.907

3. Q1: M. Syed Ali, N. Gunasekaran, M. Esther Rani, “Robust stability of Hopfield delayed neural networks via an augmented LK functional”, Neurocomputing, Vol.234, pp. 198-204, April 2017. Impact Factor: 4.072

4. Q2: M. Syed Ali, K. Meenakshi, N. Gunasekaran, “Finite-time H∞ boundedness of discrete-time neural networks norm bounded disturbances with time-varying delay, International Journal of Control, Automation, and Systems, Vol. 15, No.6, pp. 2681-2689, December 2017. Impact Factor: 2.173

5. Q1: M. Syed Ali, N. Gunasekaran, B. Aruna, “Design of sampled-data control for multiple-time delayed generalized neural networks based on delay-partitioning approach”, International Journal of Systems Science, Vol. 48, No. 15, pp. 2794-2810, July 2017. Impact Factor: 2.469

1. Q1: M. Syed Ali, N. Gunasekaran, Choon Ki Ahn, Peng Shi, “Sampled-data stabilization for fuzzy genetic regulatory networks with leakage delays”, IEEE/ACM Transactions On Computational Biology And Bioinformatics, Vol.15, No.1, pp. 271-285, September 2016. Impact Factor: 2.428

2. Q1: M. Syed Ali, N. Gunasekaran, O.M. Kwon, “Delay-dependent H∞ performance state estimation of static delayed neural networks using sampled-data control, Neural Computing and Applications, DOI: 10.1007/s00521-016-2671-3, pp. 1-15, November 2016. Impact Factor: 4.664

3. Q1: M. Syed Ali, N. Gunasekaran, R. Saravanakumar, “Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control”, Neural Computing and Applications, DOI:10.1007/s00521-016-2682-0, pp. 1-11, November 2016. Impact Factor: 4.664