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Li Ying
Professor
School of Computer Science
h-index
4677
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
(163)
Similar Profiles
(4)
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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
Convolutional Neural Network
100%
Hyperspectral Image
89%
Experimental Result
83%
Image Classification
61%
Rule Base
41%
Learning Framework
40%
Deep Learning Method
37%
Remote Sensing Image
36%
Synthetic Aperture Radar Images
29%
Neural Architecture Search
26%
Unmanned Aerial Vehicle
26%
Multispectral Image
25%
Image Fusion
23%
Meta-Learning
23%
Rule Antecedent
23%
super resolution
22%
Neural Network
22%
Art Performance
22%
Object Detection
22%
Reasoning System
22%
Training Sample
21%
image denoising
21%
Image Segmentation
20%
Tracking (Position)
20%
Salient Object Detection
19%
adaptive network based fuzzy inference system
19%
Feature Extraction
19%
Deep Convolutional Neural Networks
19%
Tracking Algorithm
19%
Sparse Representation
17%
remote sensing imagery
16%
Satellite Image
16%
Multitask Learning
15%
Feature Selection
15%
Spatial Information
15%
Training Data
14%
interpolation algorithm
14%
Spatial Resolution
14%
Total Variation
13%
Few-Shot Learning
13%
unmixing
13%
Based Object Tracking
13%
Collaborative Learning
13%
Change Detection Method
13%
Deep Feature
13%
Generative Adversarial Networks
13%
Subnetwork
13%
Classification Method
12%
adaptive neuro-fuzzy inference system
12%
Attention (Machine Learning)
11%
Engineering
Convolutional Neural Network
66%
Fuzzy Rule
60%
Hyperspectral Image
58%
Synthetic Aperture Radar Images
52%
Experimental Result
51%
Synthetic Aperture Radar
42%
Image Fusion
35%
High Resolution
34%
Tracking Algorithm
29%
Image Classification
25%
Multispectral Image
25%
Sensor Node
24%
Wireless Sensor Network
22%
Nodes
22%
Image Enhancement
19%
State-of-the-Art Method
19%
Component Analysis
18%
Principal Component
18%
Sensing Imagery
17%
Spatial Information
16%
Multiscale
16%
Similarity
15%
Resolution Image
15%
Rule Base
15%
Spatial Resolution
15%
Tracking (Position)
14%
Detection Algorithm
14%
Singular Value Decomposition
14%
Hyperspectral Imagery
13%
Image Patch
13%
Feature Point
13%
Histogram
13%
Information Gain
13%
Unmanned Aerial Vehicle
13%
Speckle
11%
Target Tracking
11%
Image Data
10%
Speckle Reduction
10%
Joints (Structural Components)
9%
Image Processing
9%
Curvelet Coefficient
9%
Noisy Image
9%
Deep Learning Method
9%
Image Sequence
8%
Spectral Feature
8%
Convolutional Layer
8%
Target Object
8%
Fuzzy System
8%
Disturbance Factor
7%
Gibbs Free Energy
7%
