Jianliang Zhai

Finance · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Finance — 41 citations into it
• Applied Mathematics — 18 citations into it
• Mathematical Physics — 16 citations into it
• Control and Systems Engineering — 13 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Modeling and Simulation — 10 citations into it
• Statistics and Probability — 8 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Jianliang Zhai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. A. Budhiraja
2. Arnaud Guillin
3. Fuqing Gao
4. Paul Dupuis
5. Michael Röckner
6. Martin Hairer
7. Robert Sh. Liptser
8. Xingqiu Zhao

Papers from Jianliang Zhai's perspective

Ordered by how strongly the researchers Jianliang Zhai trusts endorse each paper. Same corpus, a different order for every researcher.

1. Stochastic Evolution Equations of Jump Type: Existence, Uniqueness and Large Deviation Principles
2. Large deviations for infinite dimensional stochastic dynamical systems
3. Stochastic Equations in Infinite Dimensions
4. Ergodicity of the 2D Navier-Stokes equations with degenerate stochastic forcing
5. Large deviations for stochastic reaction-diffusion systems with multiplicative noise and non-Lipshitz reaction term
6. Mean-field stochastic differential equations and associated PDEs
7. Quantitative Harris-type theorems for diffusions and McKean–Vlasov processes (Transactions of the American Mathematical Society)
8. Large deviations for the two-dimensional Navier-Stokes equations with multiplicative noise
9. Large deviation principles for 2-D stochastic Navier–Stokes equations driven by Lévy processes
10. Examples of moderate deviation principle for diffusion processes

Their papers

• On limiting behavior of stationary measures for stochastic evolution systems with small noise intensity (2016) — 55 citations
• Large and Moderate Deviation Principles for McKean-Vlasov SDEs with Jumps (2020) — 76 citations
• A moderate deviation principle for 2-D stochastic Navier-Stokes equations (2015) — 72 citations
• A Moderate Deviation Principle for 2-D Stochastic Navier-Stokes Equations Driven by Multiplicative L\'evy Noises (2015) — 55 citations