What is he best known for?
The fields of study he is best known for:
- Structural engineering
- Algorithm
- Mathematical analysis
His primary areas of study are Moving load, Structural engineering, Time domain, Axle and Dynamic load testing.
Siu-Seong Law combines subjects such as Surface finish, Fissure, Damage detection, Simulation and Nonlinear system with his study of Moving load.
As part of the same scientific family, he usually focuses on Simulation, concentrating on Noise reduction and intersecting with Control theory.
The various areas that he examines in his Control theory study include Regularization and Inverse problem.
His Structural engineering study combines topics from a wide range of disciplines, such as Exciter and Identification.
His Time domain research integrates issues from Truss, Noise, System identification, Surface roughness and Bridge deck.
His most cited work include:
- Adaptive Tikhonov regularization for damage detection based on nonlinear model updating (74 citations)
- Damage detection in simply supported concrete bridge structure under moving vehicular loads (59 citations)
- Regularization in moving force identification (53 citations)
What are the main themes of his work throughout his whole career to date?
Structural engineering, Control theory, Vibration, Time domain and Identification are his primary areas of study.
The study of Structural engineering is intertwined with the study of Nonlinear system in a number of ways.
His biological study deals with issues like Regularization, which deal with fields such as Preprocessor.
His studies deal with areas such as Slab, Beam and Simulation as well as Vibration.
His Time domain research incorporates elements of Algorithm and Robustness.
His Identification study deals with Noise intersecting with Sensitivity and Acceleration.
He most often published in these fields:
- Structural engineering (44.68%)
- Control theory (27.66%)
- Vibration (22.34%)
What were the highlights of his more recent work (between 2017-2021)?
- Acceleration (12.77%)
- Control theory (27.66%)
- Identification (19.15%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Acceleration, Control theory, Identification, Bridge and Modal.
His study on Acceleration also encompasses disciplines like
- Structural health monitoring which connect with Data mining and Noise,
- Algorithm, which have a strong connection to Displacement and Benchmark.
His Control theory study frequently links to adjacent areas such as System identification.
His study in Identification is interdisciplinary in nature, drawing from both Road surface roughness, Singular spectrum analysis, Aerodynamic force, Wind tunnel test and Bridge deck.
His Bridge study is related to the wider topic of Structural engineering.
His studies in Modal integrate themes in fields like Underdetermined system, Truss, Inverse problem, Tikhonov regularization and Transformation matrix.
Between 2017 and 2021, his most popular works were:
- Indirect bridge modal parameters identification with one stationary and one moving sensors and stochastic subspace identification (23 citations)
- Optimization of wind farm layout with modified genetic algorithm based on boolean code (8 citations)
- Damage detection of structures with parametric uncertainties based on fusion of statistical moments (6 citations)
In his most recent research, the most cited papers focused on:
- Structural engineering
- Algorithm
- Mathematical analysis
Siu-Seong Law spends much of his time researching Noise, Bridge, Control theory, Modal and Boundary value problem.
His work deals with themes such as Algorithm and Acceleration, which intersect with Noise.
The subject of his Bridge research is within the realm of Structural engineering.
His Control theory research is multidisciplinary, incorporating elements of Aerodynamic force, Wind tunnel test and Identification.
His biological study spans a wide range of topics, including Normal mode, Subspace topology and Parameter identification problem.
His research integrates issues of Wrinkle, Modulus, Mechanics and Shear in his study of Boundary value problem.
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