“…In order to better understand the mechanism behind the phenomena described by nonlinear fractional partial differential equations, it is necessary to obtain the exact solution, which also provides a reference for the accuracy and stability of the numerical solution. With the rapid development of computer algebraic system-based nonlinear sciences like Mathematica or Maple, divers' effective methods have been pulled out to acquire precise solutions to nonlinear fractional-order partial differential equations, such as the fractional first integral method [5,6], the fractional simplest equation method [7,8], the improved fractional subequation method [9], the Kudryashov method [10], the fractional subequation method [11,12], the generalised Kudryashov method [13], the fractional exp-function method [14][15][16][17][18][19], the sech-tanh function expansion method [20,21], the fractional (G′/G)-expansion method [22][23][24][25][26][27][28][29], the generalized Sinh-Gorden expansion method [30], the fractional functional variable method [31], the rational (G ′ /G)-expansion method [32], the modified Khater method [33][34][35][36], and the fractional modified trial equation method [37,38]. Many of these methods are constructed by fractional complex transform [39,40] and use of the solutions of some solvable differential equations.…”