What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Structural engineering
- Statistics
His primary areas of study are Structural engineering, Vibration, Damper, Control theory and Bridge.
His studies deal with areas such as Stationary wavelet transform, Wavelet packet decomposition, Discrete wavelet transform, Fast wavelet transform and Harmonic wavelet transform as well as Structural engineering.
His Vibration study combines topics in areas such as Span and Simulation.
His studies in Damper integrate themes in fields like Artificial neural network and Computer simulation.
His Control theory research includes elements of Magnetorheological fluid and Vibration control.
As a member of one scientific family, Chih-Chen Chang mostly works in the field of Bridge, focusing on Finite element method and, on occasion, Boundary value problem, Sensitivity and Mathematical model.
His most cited work include:
- Structural Damage Assessment Based on Wavelet Packet Transform (233 citations)
- NEURAL NETWORK EMULATION OF INVERSE DYNAMICS FOR A MAGNETORHEOLOGICAL DAMPER (141 citations)
- Neural Network Modeling of a Magnetorheological Damper (135 citations)
What are the main themes of his work throughout his whole career to date?
Chih-Chen Chang mainly focuses on Structural engineering, Vibration, Control theory, Artificial intelligence and Damper.
In his study, which falls under the umbrella issue of Structural engineering, Parametric statistics is strongly linked to Aeroelasticity.
His research in Vibration tackles topics such as Wavelet packet decomposition which are related to areas like Structural health monitoring.
His work carried out in the field of Control theory brings together such families of science as Control engineering and Modal.
He interconnects Optics, Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
His Damper research includes themes of Power and Vibration control.
He most often published in these fields:
- Structural engineering (40.44%)
- Vibration (24.59%)
- Control theory (19.67%)
What were the highlights of his more recent work (between 2014-2021)?
- Energy harvesting (4.92%)
- Structural engineering (40.44%)
- Artificial intelligence (17.49%)
In recent papers he was focusing on the following fields of study:
Chih-Chen Chang mainly investigates Energy harvesting, Structural engineering, Artificial intelligence, Nonlinear system and Damper.
Chih-Chen Chang combines subjects such as Statistical linearization, Excitation, Nonlinear circuits and Control theory with his study of Energy harvesting.
His Control theory study deals with Modal intersecting with Normal mode, Shear, Mathematical analysis, Noise and Algorithm.
In his research on the topic of Structural engineering, Detection performance is strongly related with Laser scanning.
The various areas that Chih-Chen Chang examines in his Artificial intelligence study include Computer vision and Pattern recognition.
His work is dedicated to discovering how Damper, Vibration control are connected with Power and Control theory and other disciplines.
Between 2014 and 2021, his most popular works were:
- A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning (94 citations)
- Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM (75 citations)
- Localization and Quantification of Concrete Spalling Defects Using Terrestrial Laser Scanning (46 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Structural engineering
- Statistics
His primary areas of investigation include Structural engineering, Laser scanning, Parametric statistics, Detector and Control theory.
His Laser scanning study combines topics from a wide range of disciplines, such as Precast concrete and Engineering drawing.
His Parametric statistics research incorporates themes from Terrestrial laser scanning, Subspace topology, Modal and Detection performance.
Chih-Chen Chang has included themes like Bridge, Bridge, Damage detection and Deep learning in his Detector study.
In his study, Energy harvesting and Energy is inextricably linked to Resistor, which falls within the broad field of Control theory.
His Energy research is multidisciplinary, relying on both Power, Electronic component, Vibration, Vibration control and Automotive engineering.
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