What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Differential equation
- Statistics
His primary areas of study are Epidemic model, Applied mathematics, Extinction, Mathematical analysis and Lyapunov function.
His Applied mathematics study incorporates themes from Mathematical optimization, Brownian motion and Stationary distribution.
His Stationary distribution study frequently draws connections to other fields, such as Ergodicity.
His work in Mathematical analysis covers topics such as Nonlinear system which are related to areas like Dirichlet problem.
His Lyapunov function research integrates issues from Ergodic theory, Regime switching and Stability theory.
His research in White noise intersects with topics in Deterministic system and Control theory.
His most cited work include:
- Analysis of a predator-prey model with modified Leslie-Gower and Holling-type II schemes with stochastic perturbation (228 citations)
- Multiple positive solutions for the boundary value problem of a nonlinear fractional differential equation (177 citations)
- Global stability and stochastic permanence of a non-autonomous logistic equation with random perturbation☆ (155 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Applied mathematics, Stationary distribution, Lyapunov function, Ergodic theory and Extinction.
Daqing Jiang has included themes like Mathematical optimization, Stochastic modelling and Uniqueness in his Applied mathematics study.
The concepts of his Uniqueness study are interwoven with issues in Initial value problem, Boundary value problem and Nonlinear system.
Daqing Jiang interconnects Logistic function, Ergodicity and White noise in the investigation of issues within Stationary distribution.
As a part of the same scientific family, Daqing Jiang mostly works in the field of Lyapunov function, focusing on Regime switching and, on occasion, Markovian switching.
His Nonlinear incidence study in the realm of Epidemic model connects with subjects such as Incidence, Statistics, Positive recurrence and Vaccination.
He most often published in these fields:
- Applied mathematics (140.00%)
- Stationary distribution (124.15%)
- Lyapunov function (119.27%)
What were the highlights of his more recent work (between 2019-2021)?
- Stationary distribution (124.15%)
- Applied mathematics (140.00%)
- Lyapunov function (119.27%)
In recent papers he was focusing on the following fields of study:
Daqing Jiang focuses on Stationary distribution, Applied mathematics, Lyapunov function, Ergodic theory and Extinction.
His biological study spans a wide range of topics, including Statistical physics, Ergodicity and White noise.
His Applied mathematics study integrates concerns from other disciplines, such as Probability density function, Uniqueness, Positive recurrence and Functional response.
His studies in Lyapunov function integrate themes in fields like Deterministic system and Stochastic modelling.
His Ergodic theory study combines topics from a wide range of disciplines, such as Computer simulation and Nonlinear system.
He combines Extinction and Regime switching in his research.
Between 2019 and 2021, his most popular works were:
- Dynamics and density function analysis of a stochastic SVI epidemic model with half saturated incidence rate (6 citations)
- Dynamics and density function analysis of a stochastic SVI epidemic model with half saturated incidence rate (6 citations)
- Influence of the fear factor on the dynamics of a stochastic predator–prey model (4 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Differential equation
- Statistics
The scientist’s investigation covers issues in Applied mathematics, Stationary distribution, Lyapunov function, Epidemic model and Ergodic theory.
His Applied mathematics study combines topics in areas such as Logistic function, Stochastic modelling, Ergodicity and Uniqueness.
As a part of the same scientific study, Daqing Jiang usually deals with the Stochastic modelling, concentrating on Fokker–Planck equation and frequently concerns with Stochastic differential equation.
Uniqueness is closely attributed to Predator in his study.
In his research on the topic of Lyapunov function, Initial value problem is strongly related with White noise.
His Basic reproduction number study often links to related topics such as Extinction.
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