Skip to main navigation
Skip to search
Skip to main content
Xi'an Jiaotong-Liverpool University Home
Home
Profiles
Research units
Research output
Projects
Activities
Search by expertise, name or affiliation
©
copyrightStatement
View Scopus Profile
Ming He
Assistant Professor
Department of Economics
Phone
+86 (0)512 88161712
Email
Ming.He
xjtlu.edu
cn
h-index
237
Citations
7
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2009
2024
Research activity per year
Overview
Fingerprint
Network
Projects
(1)
Research output
(14)
Activities
(4)
Similar Profiles
(7)
Fingerprint
Dive into the research topics where Ming He is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Social Sciences
Chinese
100%
Urban Areas
74%
Analysis
49%
China
37%
Technology
37%
Evidence
30%
Economic Growth
28%
Prices
27%
Transformation
24%
Transport
24%
Infrastructure
24%
Productivity
24%
Feature
21%
Efficiency
18%
Advancement
18%
Policy
16%
Measure
11%
Migrants
9%
Markets
7%
Performance
6%
Ownership
6%
Specific Industry
6%
Performers
6%
Intervention
6%
Capacity
6%
Intensity
6%
Attention
6%
Growth
5%
Standards
5%
Economics, Econometrics and Finance
Spillover Effect
80%
Specific Industry
57%
Economics
34%
Synergy
29%
Autoregressive Model
28%
Economy
27%
Investors
24%
Path Dependence
24%
Real Estate Sector
24%
Urban Land Use
24%
Infrastructure
24%
Urban Structure
24%
Land Price
24%
Panel Data Analysis
24%
Manufacturing Industry
16%
Benefits
14%
Land Use
12%
Migrant
12%
Real Estate Investment
12%
Microeconometrics
12%
Innovation
12%
Bundling Strategy
12%
Entrepreneurship
12%
Price
12%
Urban Economics
12%
Equilibrium Model
12%
Instrumental Variables
10%
Fixed Effects
8%
Spatial Econometrics
7%
Efficiency
6%
Earth and Planetary Sciences
Model
30%
China
27%
Determinant
24%
Metropolitan Area
24%
Value
24%
Datum
24%
Investigation
17%
National Economy
12%
Requirement
12%
Policy
12%
Vector
12%
Industry
12%
Increasing
12%
Steady State
12%
Linkage
12%
Business
12%
Correlation Coefficient
12%
Prediction
12%
Land
8%
Standard
5%
Show
5%