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Lei Wu
School of Chemistry and Chemical Engineering
h-index
584
Citations
12
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2013
2024
Research activity per year
Overview
Fingerprint
Network
Research output
(34)
Fingerprint
Dive into the research topics where Lei Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
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Engineering
Amplifier
16%
B Cell
33%
Batch Process
41%
Boundary Condition
8%
Chemical Engineering
16%
Data Field
16%
Electric Power Utilization
16%
Energy Gap
16%
Experimental Result
19%
Fault Diagnosis
16%
Fermenter
16%
Formability
19%
Gaussian Mixture Model
16%
Gaussians
20%
Heat Source
8%
Histogram
8%
Hydrodynamics
16%
Induced Heating
16%
Input Parameter
8%
Leukocyte
17%
Local Model
28%
Logging Tool
10%
Lymphocyte
16%
Machine Learning Algorithm
16%
Magnetic Field
16%
Max
16%
Microfluidic Device
16%
Microstructure
8%
Millimeter Wave
16%
Moisture Retention
16%
Monitoring System
16%
Nanosensor
16%
Nonlinearity
13%
Normalizing Factor
8%
Nuclear Magnetic Resonance
16%
Photonic Band
16%
Photonics
16%
Quantization (Signal Processing)
16%
Relaxation Time Spectrum
16%
Scheduling Strategy
16%
Sensor Node
16%
Signal-to-Noise Ratio
12%
Similarities
12%
Soft Sensor
66%
Sugar Concentration
16%
System-in-Package
13%
T Cell
16%
Thermal Resistance
10%
Wireless Communication
16%
Wireless Sensor Node
16%
Material Science
Amorphous Material
30%
Carbon Fiber
16%
Cell Membrane
16%
Ferrofluid
12%
Hydrogel
52%
Hydrogen Bonding
6%
Lymphocyte
16%
Materials Property
5%
Nanoparticle
5%
Optical Property
20%
Oxidation Reaction
5%
Photochromics
8%
Photonic Band Gap
16%
Photonic Crystal
100%
Poly Methyl Methacrylate
6%
Polystyrene
5%
Reflectivity
8%
Scanning Electron Microscopy
5%
T-Cells
50%
Tensile Strain
17%
Theoretical Calculation
11%
Thermochromics
6%
Three Dimensional Printing
16%
Tumor
50%
Computer Science
Adaptation Mechanism
8%
Adaptive Parameter
8%
Computational Load
8%
Computational Time
8%
de-noising
16%
Estimation Accuracy
16%
Experimental Result
8%
Gaussian Mixture Model
16%
image denoising
16%
Image Gradient
8%
Just-in-Time
25%
Learning Framework
12%
Mean Algorithm
8%
Model Adaptation
8%
Modeling Framework
8%
Mutual Information
16%
peak signal to noise ratio
8%
Performance Improvement
8%
Posterior Probability
8%
Predictive Distribution
16%
Probabilistic Analysis
16%
Process State
8%
Real Time Performance
16%
Recognition Result
8%
Replacement Rule
11%
Singular Value
8%
Support Vector Regression
16%
Texture Information
8%
Thermal Resistance
8%
Time Complexity
8%
