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Fei Ma
Associate Vice President for Research and Impact
AVP - Research and Impact
Phone
+86 (0)512 88161633
Email
Fei.Ma
xjtlu.edu
cn
h-index
662
Citations
12
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2003
2025
Research activity per year
Overview
Fingerprint
Network
Projects
(26)
Research output
(90)
Activities
(10)
Similar Profiles
(2)
Fingerprint
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
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Computer Science
Accuracy
53%
Active Contour
27%
Active Contour Model
19%
Algorithms
86%
Annotation
9%
Application
25%
Art Performance
9%
Automated Guided Vehicle
9%
Basis Function
9%
Classification Method
19%
Collisions
12%
Computer
19%
Convolutional Neural Network
58%
Data Source
9%
Decision Trees
9%
Deep Convolutional Neural Networks
9%
Deep Learning
32%
Deep Learning Model
14%
Design
11%
Detection
26%
Diagnosis
32%
Ensemble Learning
9%
Error Correction
11%
Global Feature
9%
Graph Matching
24%
Graph Theory
9%
Identification
19%
Image Segmentation
32%
Importance Sampling
10%
Interdependence
9%
Kalman Filtering
16%
Minimum Spanning Tree
25%
Modeling
14%
Models
100%
multiple robot
11%
Online Retailer
29%
Particle Filter
29%
Pectoral Muscle
48%
Random Decision Forest
33%
Records
27%
Segmentation
43%
Series Prediction
38%
Spatial Relation
27%
Spectral Property
19%
Standards
11%
Temporal Change
21%
Temporal Feature
14%
Testing
16%
Training Data
9%
Validation
19%
Engineering
Acoustics
12%
Algorithm
6%
Analysis Filter
8%
Applications
18%
Architecture
6%
Automotive Radar
9%
Based Feature Extraction
9%
Basis Function
17%
Big Data
9%
Channel Model
8%
Classification
19%
Combines
5%
Condensate Gas
5%
Convolutional Neural Network
35%
Dataset
5%
Deep Learning
19%
Demonstrates
6%
Design
25%
Design System
6%
Detection
12%
Detection Performance
8%
Experiments
8%
Feature Extraction
10%
Filter Banks
11%
Finite Element Method
9%
Fluid Flow
9%
Image Analysis
9%
Images
13%
Long Short-Term Memory
19%
Maps
16%
Models
36%
Multipath
16%
Multiscale
9%
Multiscale Modeling
9%
Network Model
5%
Networks
19%
Peak-to-Average Power Ratio
16%
Performance
6%
Point Cloud
9%
Prediction
19%
Salient Feature
9%
Scale Factor
6%
Scaling Factor
9%
Simulation
8%
Sonar System
6%
Sublevels
9%
Subsurface
9%
Target Tracking
12%
Velocity
5%
Earth and Planetary Sciences
Accuracy
6%
Canada
9%
Classification
19%
Computer
19%
Datum
6%
Detection
29%
Error
7%
Experiment
7%
Flow Modeling
9%
Fluid Flow
9%
Image
5%
Information
11%
Learning
19%
Lotka-Volterra Model
9%
Mask Region-Based Convolutional Neural Network
9%
Model
45%
Network
30%
Particle
19%
Prediction
43%
Price
7%
Product
7%
Radar
9%
Region
16%
Regression
9%
Segmentation
9%
Self-Attention
9%
Set
13%
Show
5%
State of the Art
9%
Strategy
13%
Term
19%
Time Series
23%
Value
8%
Vehicle
6%
