J
Junjie Wei
Researcher at Harbin Institute of Technology
Publications - 82
Citations - 3947
Junjie Wei is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Hopf bifurcation & Center manifold. The author has an hindex of 23, co-authored 76 publications receiving 3358 citations. Previous affiliations of Junjie Wei include Foshan University & Jimei University.
Papers
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On the zeros of transcendental functions with applications to stability of delay differential equations with two delays
Shigui Ruan,Junjie Wei +1 more
TL;DR: In this paper, a decomposition technique was developed to investigate the stability of some exponential polynomials, that is, to find conditions under which all zeros have negative real parts.
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Bifurcation and spatiotemporal patterns in a homogeneous diffusive predator–prey system
TL;DR: In this article, the existence of multiple spatially non-homogeneous periodic orbits while the system parameters are all spatially homogeneous is investigated. But the results are limited to the case where the system is a diffusive predator-prey system with Holling type-II predator functional response subject to Neumann boundary conditions.
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Stability and bifurcation in a neural network model with two delays
Junjie Wei,Shigui Ruan +1 more
TL;DR: In this article, a simple neural network model with two delays is considered, and the Hopf bifurcation occurs when the sum of the two delays varies and passes a sequence of critical values.
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Predator–prey system with strong Allee effect in prey
TL;DR: The existence of a point-to-point heteroclinic orbit loop is shown, the Hopf bifurcation is considered, and the existence/uniqueness and the nonexistence of limit cycle for appropriate range of parameters are proved.
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On the zeros of a third degree exponential polynomial with applications to a delayed model for the control of testosterone secretion.
Shigui Ruan,Junjie Wei +1 more
TL;DR: It is shown that under certain assumptions on the coefficients the steady state of the delay model is asymptotically stable for all delay values.