What is he best known for?
The fields of study he is best known for:
- Structural engineering
- Statistics
- Civil engineering
His scientific interests lie mostly in Structural engineering, Finite element method, Modal, Vibration and Modal analysis.
His work deals with themes such as Algorithm, Fundamental frequency, Noise and System identification, which intersect with Structural engineering.
His Finite element method study combines topics in areas such as Masonry, Residual, Damping ratio and Sensitivity.
His study in Modal is interdisciplinary in nature, drawing from both Modal testing and Noise.
His studies in Vibration integrate themes in fields like Point, Bending stiffness and Nonlinear system.
His research in Modal analysis tackles topics such as Span which are related to areas like Bridge, Structural load, Expansion joint and Deck.
His most cited work include:
- Structural Finite Element Model Updating Using Ambient Vibration Test Results (268 citations)
- Damage detection by finite element model updating using modal flexibility residual (231 citations)
- Damage detection by finite element model updating using modal flexibility residual (231 citations)
What are the main themes of his work throughout his whole career to date?
Wei-Xin Ren mostly deals with Structural engineering, Finite element method, Vibration, Modal and Modal analysis.
As a part of the same scientific study, Wei-Xin Ren usually deals with the Structural engineering, concentrating on Sensitivity and frequently concerns with Residual.
As a part of the same scientific family, Wei-Xin Ren mostly works in the field of Finite element method, focusing on Wavelet and, on occasion, Mathematical analysis, Algorithm and Boundary value problem.
His biological study spans a wide range of topics, including Subspace topology and Nonlinear system.
The study incorporates disciplines such as Acoustics, Noise and Noise in addition to Modal.
Wei-Xin Ren studied Modal analysis and Control theory that intersect with Operational Modal Analysis and Harmonic.
He most often published in these fields:
- Structural engineering (67.88%)
- Finite element method (32.64%)
- Vibration (24.87%)
What were the highlights of his more recent work (between 2018-2021)?
- Structural engineering (67.88%)
- Algorithm (13.47%)
- Acoustics (6.74%)
In recent papers he was focusing on the following fields of study:
Wei-Xin Ren mainly focuses on Structural engineering, Algorithm, Acoustics, Finite element method and Wavelet transform.
His Structural engineering study is mostly concerned with Deflection, Beam, Bridge, Structural health monitoring and Girder.
Wei-Xin Ren has researched Algorithm in several fields, including Discrete wavelet transform, Noise, Shear, Amplitude and Discretization.
He focuses mostly in the field of Noise, narrowing it down to topics relating to Uncertainty quantification and, in certain cases, Applied mathematics.
Wei-Xin Ren interconnects Normal mode, Bridge, Wavelet and High spatial resolution in the investigation of issues within Finite element method.
His work is dedicated to discovering how Wavelet transform, Instantaneous phase are connected with Spectrogram, Reassignment method, Fourier transform, Window function and S transform and other disciplines.
Between 2018 and 2021, his most popular works were:
- Transmissibility-based system identification for structural health Monitoring: Fundamentals, approaches, and applications (47 citations)
- A Versatile 3D Vehicle-Track-Bridge Element for Dynamic Analysis of the Railway Bridges under Moving Train Loads (13 citations)
- Two-phase damage detection of beam structures under moving load using multi-scale wavelet signal processing and wavelet finite element model (11 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Structural engineering
- Civil engineering
His primary areas of investigation include Structural engineering, Algorithm, Finite element method, Bridge and Wavelet transform.
When carried out as part of a general Structural engineering research project, his work on Bridge, Expansion joint and Long span is frequently linked to work in Thermal effect and Metamodeling, therefore connecting diverse disciplines of study.
His Algorithm research includes themes of Amplitude, Beam and Signal processing.
His research in Finite element method intersects with topics in Discrete wavelet transform, Wavelet, Position and Domain.
His work in Bridge addresses issues such as Spectral density, which are connected to fields such as Transmissibility.
His Wavelet transform research includes elements of Acoustics, Acoustic emission, Cracking and Convolutional neural network.
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