Skip to main navigation
Skip to search
Skip to main content
University of Nottingham Ningbo China Home
Home
Profiles
Research units
Research output
Projects
Prizes
Activities
Press/Media
Impacts
Student theses
Search by expertise, name or affiliation
Han PAN
PhD
,
Department of Electrical and Electronic Engineering
Email
skxhp1
nottingham.edu
cn
2024
2024
Research activity per year
Overview
Fingerprint
Network
Research output
(3)
Similar Profiles
(6)
Fingerprint
Dive into the research topics where Han PAN is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Fiber Bragg Grating
100%
Sensor-based
58%
Radial Artery
50%
Real-time Embedded
50%
Flow Rate Sensor
50%
Soft Sensor
50%
Local Pulse Wave Velocity
50%
Pulse Wave Velocity
50%
Simultaneous Measurement
50%
Carbon Dots (C-dots)
50%
Polydimethylsiloxane
50%
Optical Biosensor
50%
Induced Pressure
25%
Flow Effect
25%
Limit of Detection
21%
Arterial Stiffness
20%
Velocity Pulse
20%
Local PWV
20%
Radial Pulse Wave
20%
Fluid Flow
16%
High Biocompatibility
13%
Wrist
10%
Cardiovascular Disease Diagnosis
10%
Vessel Length
10%
Multiple Reflection Effect
10%
Correlation Analysis
10%
Pulse Pair
10%
High-order Dependency
10%
Low Signal-to-noise Ratio
10%
Local Analysis
10%
Right Radial Artery
10%
Temporal Resolution
10%
Arterial Properties
10%
Left Radial Access
10%
Male Volunteers
10%
Arterial Stiffening
10%
Fossa
10%
Synchronization Signal
10%
Pulse Waveform
10%
Dynamic Analysis
10%
Cardiovascular Disease
10%
Blood Vessels
10%
Multiple Parameters
10%
Chemical Properties
10%
Soft Materials
8%
Flow Rate Measurement
8%
Induced Flow
8%
Pressure Measurement
8%
Microchannel Fabrication
8%
Reliability Sensitivity
8%
Engineering
Fiber Bragg Grating
100%
Soft Sensor
50%
Microchannel
50%
Polydimethylsiloxane
50%
Wave Velocity
50%
Flow Rate
50%
Fluid Flow
14%
Flow System
7%
Flow Condition
7%
Sensing Method
7%
Simulation Result
7%
Drug Delivery
7%
Inflow Rate
7%
Experimental Result
7%
Liquid Flow
7%
Pressure Sensor
7%
Biosensing
7%
Soft Material
7%
Temporal Resolution
5%
Signal-to-Noise Ratio
5%
Early Stage
5%