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Xiao-Jun Yang

Researcher at China University of Mining and Technology

Publications -  249
Citations -  8521

Xiao-Jun Yang is an academic researcher from China University of Mining and Technology. The author has contributed to research in topics: Fractional calculus & Fractal. The author has an hindex of 49, co-authored 219 publications receiving 7307 citations. Previous affiliations of Xiao-Jun Yang include Jilin University & Tuscia University.

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Local Fractional Integral Transforms and Their Applications

TL;DR: Local fractional integral transforms and their applications as mentioned in this paper have been successfully applied to describe the numerous widespread real-world phenomena in the fields of physical sciences and engineering sciences that involve non-differentiable behaviors.
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Fractal heat conduction problem solved by local fractional variation iteration method

TL;DR: In this article, a local fractional variational iteration method for processing the local heat conduction equation arising in fractal heat transfer is presented. But the method is not suitable for the case of large-scale heat transfer.
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Exact travelling wave solutions for the local fractional two-dimensional Burgers-type equations

TL;DR: The present methodology is shown to provide a useful approach to solve the local fractional nonlinear partial differential equations (LFNPDEs) in mathematical physics.
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A new fractional operator of variable order: Application in the description of anomalous diffusion

TL;DR: In this article, a new fractional operator of variable order with the use of the monotonic increasing function is proposed in sense of Caputo type, which is efficient in modeling a class of concentrations in the complex transport process.
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A NEW FRACTIONAL DERIVATIVE WITHOUT SINGULAR KERNEL Application to the Modelling of the Steady Heat Flow

TL;DR: In this paper, a new fractional derivative without singular kernel is proposed for modeling the steady state heat-conduction problem and the analytical solution of the fractional-order heat flow is also obtained by means of the Laplace transform.