Changli He

933 citations
18 papers · 446 indexed · h-index 9
Topics
Financial Risk and Volatility Modeling (12 papers)Monetary Policy and Economic Impact (7 papers)Market Dynamics and Volatility (6 papers)
Partner nations
SwedenDenmarkChina

In The Last Decade

Changli He

16 papers receiving 416 citations

Peers

Changli He
Comparison fields: 5 of 34
  • Finance 398
  • Economics and Econometrics 297
  • General Economics, Econometrics and Finance 171
  • Statistics and Probability 79
  • Global and Planetary Change 32
Replace Markus Haas with:
Markus Haas Germany
Genaro Sucarrat Norway
Robert L. Kimmel United States
Daniel Straumann Switzerland
Francisco Blasques Netherlands
Dobrislav Dobrev United States
Dong Hwan Oh United States
Jefirey R. Russell United States
Thierry Ané France
Lars Stentoft Canada
Changli He relative to Markus Haas Germany Markus Haas's profile →
Citations per field
00.5×1.5×
Markus Haas · 1×
Citations per year

Countries citing papers authored by Changli He

Since Specialization
Citations

This map shows the geographic impact of Changli He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Changli He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changli He more than expected).

Fields of papers citing papers by Changli He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changli He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Changli He. The network helps show where Changli He may publish in the future.

Co-authorship network of co-authors of Changli He

This figure shows the co-authorship network connecting the top 25 collaborators of Changli He. A scholar is included among the top collaborators of Changli He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changli He. Changli He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 4
3 1
4 1
5
Testing Seasonal Unit Roots in Data at Any Frequency, an HEGY approach
3
6
Testing common nonlinear features in vector nonlinear autoregressive models
0
7 5
8 15
9 12
10 13
11 60
12 52
13 152
14 86
15 15
16 21
17
Properties of Moments of a Family of GARCH Processes
2
18
Statistical properties of GARCH processes
4

About Changli He

Changli He is a scholar working on Finance, General Economics, Econometrics and Finance and Statistics and Probability, having authored 18 papers that have together received 446 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (12 papers), Monetary Policy and Economic Impact (7 papers) and Market Dynamics and Volatility (6 papers). The work is most often cited by research in Finance (398 citations), General Economics, Econometrics and Finance (171 citations) and Economics and Econometrics (297 citations). Changli He has collaborated with scholars based in Sweden, Denmark and China. Frequent co-authors include Timo Teräsvirta, Annastiina Silvennoinen, Andrés González, Jian Kang, Li Dao and Shuhua Zhang. Their work appears in journals such as Journal of Econometrics, Energy Economics and Oxford Bulletin of Economics and Statistics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026