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Lei Fan
Associate Professor
Department of Civil Engineering
Phone
+86 (0)512 81883231
Email
Lei.Fan
xjtlu.edu
cn
h-index
443
Citations
14
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2014
2025
Research activity per year
Overview
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Network
Projects
(13)
Research output
(51)
Activities
(32)
Similar Profiles
(2)
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Dive into the research topics where Lei Fan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
Alphabetically
Earth and Planetary Sciences
Datum
71%
Landscape
70%
Terrestrial Laser Scanning
67%
Digital Elevation Model
66%
Investigation
64%
Learning
51%
Error
50%
Accuracy
49%
Model
39%
Particle
36%
Detection
36%
Area
35%
Comparison
30%
Surface Roughness
28%
Behavior
28%
Semantics
28%
Estimating
28%
Triangulated Irregular Network
28%
Image
28%
Segmentation
28%
Simplification
28%
Data Transmission
28%
Angling
24%
Simulation
23%
Data Set
23%
Selection
23%
Rangefinding
22%
Vegetation
21%
Laser
19%
Shape
18%
Friction
17%
Interpolation
17%
Utilization
17%
Shear Test
16%
Deformation
16%
Representation
16%
Sampling
15%
Approach
15%
Earth Science
15%
Landslide
14%
Comparison
14%
Cartography
14%
Algorithms
14%
Soil
14%
Machine Learning
14%
Masonry
14%
Morphology
14%
Sphere
14%
Distinct Element Method
14%
Crack
14%
Engineering
Point Cloud
100%
Models
29%
Buildings
28%
Images
26%
Macroscopic
23%
Discrete Element
23%
Geometric Model
21%
Deep Learning
20%
Applications
19%
Axial Strain
19%
Deep Learning
18%
Data Point
18%
Dataset
17%
Stress Ratio
17%
Building Information Modeling
17%
Mapping
16%
Indoor Space
16%
Accuracy
16%
Shear Behavior
14%
Filtration
14%
Sphere
14%
Inventories
14%
Packing Density
14%
Random Measurement Error
14%
Networks
14%
Crack Detection
14%
Descriptor
14%
Material Behavior
14%
Assembly
14%
Spatial Detail
14%
Multispectral Image
14%
Retaining Walls
14%
Axial Extension
14%
Stress Path
14%
State Characteristic
14%
Buildings
14%
Lateral Earth Pressure
14%
Slope Failure
14%
Soil Water Content
14%
Seasonal Cycle
14%
Content Data
14%
Scaling Factor
14%
Bottom Flange
14%
Internet-Of-Things
14%
Thermal Comfort
14%
Critical State Line
12%
Development
12%
Spatial Data
11%
Pixel Level
9%
Alignment
9%
Computer Science
Point Cloud
71%
Deep Learning Model
28%
Deep Learning
18%
Contributing Factor
17%
Machine Learning
17%
Segmentation
17%
Long Short-Term Memory Network
14%
Information Modeling
14%
Visible Image
14%
Multispectral Image
14%
Enhanced Image
14%
U-Net
14%
Data Augmentation
14%
Optimal Combination
14%
Data Channel
14%
Data Analysis
14%
Future Direction
14%
Geometric Representation
14%
Current-State
14%
high resolution remote sensing image
14%
Spatial Detail
14%
Convolutional Neural Network
14%
Image Segmentation
14%
segmentation accuracy
12%
Collected Data
12%
Training Dataset
10%
Application
10%
Virtual Environments
9%
Virtual Reality
9%
Virtual Reality Technology
9%
Prediction Accuracy
9%
Channels
8%
Accuracy
7%
Remote Sensing Data
7%
Big Data Analysis
7%
Data Collection
7%
Teams
7%
Application Modeling
7%
Panchromatic Image
7%
Spectral Distortion
7%
Connected Structure
7%
Information Technology
7%
Roles
7%
Benchmark
6%
Receptive Field
5%
Building Information Modeling Technology
5%
Geometric Characteristic
5%