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FAN LIU
PhD
,
Nottingham University Business School China
Email
FAN.LIU
NOTTINGHAM.EDU
CN
h-index
20
Scopus Citations
1
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2022
2024
Research activity per year
Overview
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Research output
(2)
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Dive into the research topics where FAN LIU is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Keyphrases
Wireless Charging Lane
90%
Electric Vehicle
58%
Ramp Metering Control
50%
Charging Efficiency
50%
Dynamic Wireless Charging Electric Vehicle
50%
Transportation Systems Management
50%
Traffic Efficiency
50%
Dynamic Wireless Charging
48%
Control Problem
26%
Energy Consumption
20%
Wireless Charger
10%
Vehicle Driving
10%
Traffic Simulation
10%
Wireless Charging Vehicle
10%
Dynamic Traffic
10%
Routing Behavior
10%
State of Charge Constraint
10%
Wireless Electric Vehicle
10%
Lane Allocation
10%
In-motion Charging
10%
Inductive Coupling
10%
System Dynamics Model
10%
Autonomous Driving
10%
Real-time Control
10%
Traffic Management
10%
Allocation Model
10%
Charging Facilities
10%
Design Model
10%
High Dynamic
10%
Vehicle Behavior
10%
Related Topic
10%
Network Analysis
10%
Traffic Network
10%
Model-based Control
10%
Internet of Vehicles
10%
Wirelessly
10%
Cell Transmission Model
8%
Piecewise Affine Systems
8%
Fully Covered
8%
Real-time Traffic
8%
Mixed Integer Linear Programming Problem
8%
Numerical Experiments
8%
Politicians
8%
Traffic Demand
8%
Control Approach
8%
State of Charge
8%
Two-sample
8%
Transportation Issues
8%
Real-time Traffic Management
8%
Experiment Results
8%
Engineering
Electric Vehicle
100%
State of Charge
56%
Numerical Experiment
50%
Mixed-Integer Linear Programming
50%
Traffic Control
50%
Linear Programming Problem
50%
Policymakers
50%
Limitations
50%
Hybrid Model Predictive Control
50%
Transmissions
50%
Energy Engineering
12%
Model-Based Control
6%
Model System
6%
Road
6%
Review Paper
6%
Electric Network Analysis
6%
Inductive Coupling
6%
Traffic Management
6%
Computer Science
Traffic Demand
50%
Control Approach
50%
Linear Programming Problem
50%
Predictive Model
50%
Traffic Control
50%
Mixed-Integer Linear Programming
50%
System Management
50%
Energy Consumption
33%
Dynamic Traffic
16%
Dynamic System Model
16%
Inductive Coupling
16%
Network Traffic Analysis
16%
Autonomous Driving
16%
Traffic Management
16%
Emerging Technology
16%
Internet of Vehicles
16%
