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Li Ying
Professor
School of Computer Science
h-index
4796
Citations
31
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2008
2025
Research activity per year
Overview
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Research output
(169)
Similar Profiles
(8)
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Dive into the research topics where Ying Li 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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Computer Science
Hyperspectral Image
100%
Convolutional Neural Network
94%
Experimental Result
79%
Image Classification
67%
Rule Base
38%
Learning Framework
37%
Deep Learning Method
35%
Remote Sensing Image
32%
Unmanned Aerial Vehicle
30%
Synthetic Aperture Radar Images
26%
Image Segmentation
25%
Tracking (Position)
24%
Neural Architecture Search
24%
Classification Method
23%
Multispectral Image
22%
Art Performance
21%
Image Fusion
21%
Meta-Learning
21%
Rule Antecedent
21%
super resolution
20%
Neural Network
20%
Object Detection
20%
Reasoning System
20%
Training Sample
19%
image denoising
19%
Salient Object Detection
18%
adaptive network based fuzzy inference system
18%
remote sensing imagery
18%
Feature Extraction
17%
Deep Convolutional Neural Networks
17%
Tracking Algorithm
17%
Sparse Representation
16%
Satellite Image
15%
Based Object Tracking
15%
Multitask Learning
14%
Feature Selection
14%
Computational Efficiency
14%
Tracking Object
14%
Spatial Information
14%
de-noising
13%
Superior Performance
13%
image feature
13%
Training Data
13%
interpolation algorithm
13%
Spatial Resolution
13%
Total Variation
12%
Few-Shot Learning
12%
unmixing
12%
Collaborative Learning
12%
Change Detection Method
12%
Engineering
Convolutional Neural Network
60%
Hyperspectral Image
59%
Fuzzy Rule
55%
Synthetic Aperture Radar Images
48%
Experimental Result
46%
Synthetic Aperture Radar
39%
High Resolution
37%
Image Fusion
32%
Image Classification
29%
Tracking Algorithm
26%
Multispectral Image
22%
Sensor Node
22%
Multiscale
21%
State-of-the-Art Method
20%
Wireless Sensor Network
20%
Nodes
20%
Sensing Imagery
18%
Image Enhancement
18%
Component Analysis
16%
Principal Component
16%
Detection Algorithm
16%
Spatial Information
15%
Similarity
14%
Resolution Image
14%
Rule Base
14%
Spatial Resolution
13%
Tracking (Position)
13%
Singular Value Decomposition
13%
Hyperspectral Imagery
12%
Image Patch
12%
Feature Point
12%
Histogram
12%
Information Gain
12%
Unmanned Aerial Vehicle
12%
Bridging
12%
Quality Assessment
12%
Speckle
10%
Target Tracking
10%
Image Data
9%
Speckle Reduction
9%
Metrics
9%
Classification Method
9%
Joints (Structural Components)
9%
Image Processing
9%
Curvelet Coefficient
9%
Noisy Image
9%
Diffusion Process
9%
Loss Function
9%
Deep Learning Method
8%
Image Sequence
8%
