What is he best known for?
The fields of study he is best known for:
- Structural engineering
- Algorithm
- Artificial intelligence
His scientific interests lie mostly in Structural health monitoring, Coding, Wavelet, High rise and Algorithm.
His research integrates issues of Construction engineering, Modal and Civil engineering in his study of Structural health monitoring.
His studies in Wavelet integrate themes in fields like Bridge and Electronic engineering.
His biological study spans a wide range of topics, including Systems engineering and Operations research.
His Transient research is multidisciplinary, incorporating elements of Simulation and Finite element method.
His Simulation research is multidisciplinary, incorporating perspectives in Computer engineering and Minification.
His most cited work include:
- Optimal sensor placement for structural health monitoring based on multiple optimization strategies (201 citations)
- Optimal sensor placement for structural health monitoring based on multiple optimization strategies (201 citations)
- Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge (168 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Structural health monitoring, Structural engineering, Algorithm, Modal and Wireless sensor network.
His work deals with themes such as Genetic algorithm and Mathematical optimization, which intersect with Structural health monitoring.
As part of his studies on Structural engineering, Ting-Hua Yi often connects relevant areas like Vibration.
Ting-Hua Yi has researched Vibration in several fields, including Bridge and Simulation.
The concepts of his Algorithm study are interwoven with issues in Harmony search and Wavelet, Wavelet transform.
The various areas that Ting-Hua Yi examines in his Modal study include Normal mode, Fisher information, Basis and Eigensystem realization algorithm.
He most often published in these fields:
- Structural health monitoring (47.18%)
- Structural engineering (27.46%)
- Algorithm (19.72%)
What were the highlights of his more recent work (between 2017-2021)?
- Structural engineering (27.46%)
- Modal (16.90%)
- Bridge (11.97%)
In recent papers he was focusing on the following fields of study:
Ting-Hua Yi mostly deals with Structural engineering, Modal, Bridge, Identification and Structural health monitoring.
He combines subjects such as Strain gauge, Tracking, Bridge, Component analysis and Eigensystem realization algorithm with his study of Modal.
His Bridge study integrates concerns from other disciplines, such as Surface, Weigh in motion and Influence line.
His study in Identification is interdisciplinary in nature, drawing from both Control engineering and Algorithm.
His work in the fields of Redundancy overlaps with other areas such as Set.
Ting-Hua Yi connects Structural health monitoring with Firefly algorithm in his research.
Between 2017 and 2021, his most popular works were:
- Blind Modal Identification Using Limited Sensors through Modified Sparse Component Analysis by Time-Frequency Method (21 citations)
- Development of bridge influence line identification methods based on direct measurement data: A comprehensive review and comparison (9 citations)
- Bridge influence line identification based on adaptive B‐spline basis dictionary and sparse regularization (9 citations)
In his most recent research, the most cited papers focused on:
- Structural engineering
- Algorithm
- Artificial intelligence
His main research concerns Identification, Modal, Structural engineering, Bridge and Influence line.
His work on Eigensystem realization algorithm as part of general Identification study is frequently connected to Superstructure and White noise, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Modal research incorporates elements of Acoustics, Time–frequency analysis, Component analysis, Artificial intelligence and Pattern recognition.
His research in the fields of Structural monitoring and Structural health monitoring overlaps with other disciplines such as Firefly algorithm.
His work in Bridge addresses subjects such as B-spline, which are connected to disciplines such as Hilbert–Huang transform, Tikhonov regularization and Algorithm.
His research in Influence line intersects with topics in Control engineering, Computational complexity theory and Axle.
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