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Fei Ma
Associate Vice President of Research and Impact
AVP - Research and Impact
Phone
+86 (0)512 88161633
Email
Fei.Ma
xjtlu.edu
cn
h-index
509
Citations
12
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2003
2024
Research activity per year
Overview
Fingerprint
Network
Projects
(27)
Research output
(84)
Activities
(7)
Similar Profiles
(2)
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Dive into the research topics where Fei Ma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
Alphabetically
Computer Science
Models
100%
Algorithms
86%
Convolutional Neural Network
67%
Accuracy
53%
Pectoral Muscle
48%
Segmentation
43%
Series Prediction
38%
Random Decision Forest
33%
Diagnosis
32%
Deep Learning
32%
Image Segmentation
32%
Particle Filter
29%
Online Retailer
29%
Spatial Relation
27%
Records
27%
Active Contour
27%
Detection
26%
Application
25%
Minimum Spanning Tree
25%
Graph Matching
24%
Temporal Change
21%
Active Contour Model
19%
Identification
19%
Spectral Property
19%
Validation
19%
Classification Method
19%
Interdependence
19%
Training Data
19%
Annotation
19%
Deep Convolutional Neural Networks
19%
Art Performance
19%
Global Feature
19%
Computer
19%
Testing
16%
Kalman Filtering
16%
Modeling
14%
Deep Learning Model
14%
Temporal Feature
14%
Collisions
12%
Design
11%
Error Correction
11%
multiple robot
11%
Standards
11%
Importance Sampling
10%
Ensemble Learning
9%
Basis Function
9%
Data Source
9%
Graph Theory
9%
Decision Trees
9%
Automated Guided Vehicle
9%
Engineering
Models
36%
Convolutional Neural Network
35%
Design
25%
Networks
19%
Long Short-Term Memory
19%
Classification
19%
Prediction
19%
Deep Learning
19%
Applications
18%
Basis Function
17%
Maps
16%
Multipath
16%
Peak-to-Average Power Ratio
16%
Images
13%
Acoustics
12%
Target Tracking
12%
Detection
12%
Filter Banks
11%
Feature Extraction
10%
Finite Element Method
9%
Sublevels
9%
Point Cloud
9%
Multiscale
9%
Salient Feature
9%
Subsurface
9%
Fluid Flow
9%
Multiscale Modeling
9%
Scaling Factor
9%
Automotive Radar
9%
Based Feature Extraction
9%
Big Data
9%
Image Analysis
9%
Experiments
8%
Simulation
8%
Analysis Filter
8%
Channel Model
8%
Detection Performance
8%
Algorithm
6%
Architecture
6%
Scale Factor
6%
Sonar System
6%
Design System
6%
Demonstrates
6%
Performance
6%
Velocity
5%
Condensate Gas
5%
Combines
5%
Network Model
5%
Dataset
5%
Earth and Planetary Sciences
Model
45%
Prediction
43%
Network
30%
Detection
29%
Time Series
23%
Particle
19%
Classification
19%
Term
19%
Computer
19%
Learning
19%
Mask Region-Based Convolutional Neural Network
19%
Karyotype
19%
Region
16%
Set
13%
Strategy
13%
Information
11%
Flow Modeling
9%
Regression
9%
Radar
9%
Fluid Flow
9%
Lotka-Volterra Model
9%
Segmentation
9%
Self-Attention
9%
State of the Art
9%
Value
8%
Product
7%
Price
7%
Experiment
7%
Error
7%
Vehicle
6%
Accuracy
6%
Datum
6%
Show
5%
Image
5%
