44 citations · 98 across the 7 of their papers we have counts for
7 papers
Anomalous diffusion, non-Gaussianity, and nonergodicity for subordinated fractional Brownian motion with a drift
Yingjie Liang, Wei Wang, Ralf Metzler
The stochastic motion of a particle with long-range correlated increments (the moving phase) which is intermittently interrupted by immobilizations (the traping phase) in a disorde…
Classification of COVID-19 anomalous diffusion driven by mean squared displacement
Yingjie Liang, Peiyao Guan, Shuhong Wang +1
In this study, we classify the COVID-19 anomalous diffusion in two categories of countries based on the mean squared displacement (MSD) of daily new cases, which includes the top f…
A new data fitting method for stretched Gaussian noise: stretched least square method
Wei Xu, Yingjie Liang, Wen Chen
Stretched Gaussian distribution is the fundamental solution of the Hausdorff derivative diffusion equation and its corresponding stretched Gaussian noise is a widely encountered no…
A time-space Hausdorff fractal model for non-Fickian transport in porous media
Yingjie Liang, Ninghu Su, Wen Chen +1
This paper presents a time-space Hausdorff derivative model for depicting solute transport in aquifers or water flow in heterogeneous porous media. In this model, the time and spac…
Distributed order Hausdorff derivative diffusion model to characterize non-Fickian diffusion in porous media
Yingjie Liang, Wen Chen, Wei Xu +1
Many theoretical and experimental results show that solute transport in heterogeneous porous media exhibits multi-scaling behaviors. To describe such non-Fickian diffusions, this w…
A Spatial Structural Derivative Model for Ultraslow Diffusion
Wei Xu, Wen Chen, Yingjie Liang +1
This study investigates the ultraslow diffusion by a spatial structural derivative, in which the exponential function exp(x)is selected as the structural function to construct the…
Feasibility study on the least square method for fitting non-Gaussian noise data
Wei Xu, Wen Chen, Yingjie Liang
This study is to investigate the feasibility of least square method in fitting non-Gaussian noise data. We add different levels of the two typical non-Gaussian noises, Lévy and str…