| 1. | Y. Cao, Y. Kao,   J. H. Park, and H. Bao, Global Mittag-Leffler stability   of the delayed fractional coupled   reaction diffusion system   on networks without strong connectedness, IEEE Transactions   on Neural Networks and Learning Systems,33(11),6473-6483, 2021. (SCI,中科院一区Top) | 
   
    | 2. | Y. Cao, Y. Kao, Z. Wang, X. Yang, Ju   H. Park, W. Xie, Sliding mode control for uncertain   fractional-order reaction-diffusion memristor neural networks with time   delays, Neural Networks, DOI: 10.1016/j.neunet.2024.106402,2024.(SCI,中科院一区Top)  | 
   
    | 3. | Y. Kao, Y.   Cao, Y. Chen, Finite time projective synchronization for uncertain fractional   reaction-diffusion   systems via adaptive sliding mode control, IEEE Transactions on Neural   Networks and Learning Systems, DOI:10.1109/TNNLS.2023.3288849,   2023. (SCI,中科院一区Top) | 
   
    | 4. | Y. Kao, Y.   Cao, X. Chen, Global Mittag-Leffler synchronization of coupled delayed fractional   reaction-diffusion Cohen-Grossberg neural networks via sliding mode control, Chaos,32,113123, 2022. (SCI,中科院二区Top) | 
   
    | 5. | Y. Kao, C.Wang,   H. Xia, Y, Cao, Analysis and Control for Fractional-order Systems, Springer,   eBook ISBN: 978-981-99-6054-5, 2023.  | 
   
    | 6. | Y. Cao, B. Yin, Y. Liu, H. Li,   Crank-Nicolson WSGI difference scheme with finite element method for   multi-dimensional time-fractional wave problem, Computation & Applied   Mathematics,37,5126-5145, 2018. (SCI) | 
   
    | 7. | Y. Zhang, B.   Yin, Y. Cao, Y. Liu, H. Li, A numerical algorithm based on quadratic finite   element for two-dimensional nonlinear time fractional thermal diffusion   model, Computer Modeling in Engineering & Sciences, 122(3):   1081-1098, 2020. (SCI) |