activity
20172021
most citedFeasibility study on the least square method for fitting non-Gaussian noise data

43 citations · 43 across the 4 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2021

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…

math.NA2019

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…

physics.flu-dyn2018

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…

cond-mat.stat-mech2017

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…

stat.OT201743 cited

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…