What is he best known for?
The fields of study he is best known for:
- Statistics
- Composite material
- Geotechnical engineering
His primary areas of study are Geotechnical engineering, Slope stability, Statistics, Spatial variability and Applied mathematics.
His Geotechnical engineering research is multidisciplinary, relying on both Soil water, Bayesian probability and Marginal distribution.
Dian-Qing Li has researched Slope stability in several fields, including Slip, Subset simulation and Monte Carlo method.
His research in Probability distribution and Copula are components of Statistics.
His work deals with themes such as Reliability and Random field, which intersect with Spatial variability.
His research in Applied mathematics intersects with topics in Bivariate analysis, Mathematical optimization and Finite element method.
His most cited work include:
- Stochastic response surface method for reliability analysis of rock slopes involving correlated non-normal variables (184 citations)
- Slope reliability analysis considering spatially variable shear strength parameters using a non-intrusive stochastic finite element method (180 citations)
- A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties (170 citations)
What are the main themes of his work throughout his whole career to date?
Dian-Qing Li spends much of his time researching Geotechnical engineering, Reliability, Probabilistic logic, Monte Carlo method and Statistics.
His Geotechnical engineering research includes elements of Characterization, Soil water and Spatial variability.
His Reliability research is multidisciplinary, incorporating elements of Pile, Structural engineering, Reliability engineering and Random variable.
His study on Subset simulation is often connected to Variable as part of broader study in Monte Carlo method.
In his study, Mathematical optimization is strongly linked to Applied mathematics, which falls under the umbrella field of Statistics.
His research integrates issues of Slip and Finite element method in his study of Slope stability.
He most often published in these fields:
- Geotechnical engineering (44.52%)
- Reliability (27.10%)
- Probabilistic logic (19.35%)
What were the highlights of his more recent work (between 2019-2021)?
- Geotechnical engineering (44.52%)
- Multivariate statistics (7.10%)
- Spatial variability (13.55%)
In recent papers he was focusing on the following fields of study:
Geotechnical engineering, Multivariate statistics, Spatial variability, Probabilistic logic and Vine copula are his primary areas of study.
His biological study deals with issues like Soil water, which deal with fields such as Slip.
His work in Spatial variability covers topics such as Soil science which are related to areas like Strength reduction and Cohesion.
In the field of Probabilistic logic, his study on Probabilistic method overlaps with subjects such as Transformation.
His Vine copula research incorporates elements of Correlation coefficient and Random field.
Dian-Qing Li interconnects Reliability and Algorithm in the investigation of issues within Finite element method.
Between 2019 and 2021, his most popular works were:
- Meso-scale investigations on the effective thermal conductivity of multi-phase materials using the finite element method (14 citations)
- Adaptive Monte Carlo simulation method for system reliability analysis of slope stability based on limit equilibrium methods (13 citations)
- Modeling multivariate distribution of multiple soil parameters using vine copula model (12 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Composite material
- Normal distribution
Dian-Qing Li mostly deals with Spatial variability, Slope failure, Monte Carlo method, Joint probability distribution and Mechanics.
He combines subjects such as Finite element study, Soil science and Strength reduction with his study of Spatial variability.
Slope stability covers Dian-Qing Li research in Slope failure.
His Monte Carlo method research includes themes of Porosity, Thermal conductivity and Numerical analysis.
Dian-Qing Li works mostly in the field of Joint probability distribution, limiting it down to topics relating to Probabilistic logic and, in certain cases, Statistical physics, as a part of the same area of interest.
His Statistical physics study integrates concerns from other disciplines, such as Discrete element method and Random field.
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