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Qian Fu
Dr.
Research Fellow
,
Electronic, Electrical and Systems Engineering
Research Fellow
,
Birmingham Centre for Railway Research and Education
https://orcid.org/0000-0002-6502-9934
2012
2024
Research activity per year
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Research output
(20)
Projects
(3)
Similar Profiles
(6)
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Dive into the research topics where Qian Fu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Earth & Environmental Sciences
air quality
22%
alignment
51%
atmospheric pollution
21%
buckling
33%
city
15%
city center
30%
cost
14%
data analysis
11%
decision making
20%
degradation
5%
energy
13%
energy consumption
27%
energy saving
28%
ethics
16%
heat wave
10%
historical record
15%
industry
8%
infrastructure
13%
logistics
11%
metro system
7%
mitigation
7%
policy
5%
prediction
6%
public transport
5%
railway
33%
railway network
20%
recommendation
10%
regression analysis
11%
resource
7%
safety
6%
savings
6%
services
10%
speed
11%
stakeholder
10%
temperature
8%
traffic
11%
train
59%
vegetation
16%
weather
21%
wind velocity
10%
Business & Economics
Amazon
7%
Assets
7%
Back-propagation Neural Network
7%
Beijing
6%
Complaints
6%
Connectivity
7%
Correlation Coefficient
5%
Cross-validation
8%
Customer Service
10%
Data Quality
30%
Destination
20%
Diagrams
6%
Dissatisfaction
28%
Electricity Consumption
30%
External Factors
5%
Finite Mixture Models
30%
Fitness
7%
Genetic Algorithm
8%
Guidance
6%
Industrial Sector
6%
Industry
9%
Influencing Factors
9%
Integral
5%
Investing
5%
Knowledge Gap
7%
Layout
5%
Linear Regression
5%
Linkage
6%
Online Reviews
7%
Operator
6%
Public Transport
7%
Rail
28%
Railway
13%
Regression Model
13%
Relative Humidity
9%
Resources
8%
Robotics
31%
Route Choice
35%
Sample Size
9%
Smart Card
9%
Support Vector Regression
21%
Systematic Review
9%
Temperature
5%
Traffic Management
9%
User Satisfaction
29%
Engineering & Materials Science
Availability
19%
Backpropagation
5%
Base stations
7%
Coastal zones
14%
Communication
13%
Computer programming languages
8%
Costs
10%
Data integration
15%
Data mining
22%
Data structures
44%
Dynamic programming
26%
Electricity
19%
Energy utilization
9%
Extreme weather
32%
Industry
21%
Linear regression
5%
Logistic regression
25%
Productivity
14%
Rails
100%
Random forests
14%
Regain
12%
Regression analysis
23%
Servers
19%
Smart cards
21%
Subways
6%
Support vector regression
19%
Websites
23%