Guangxi Cao
- Economics and Econometrics top 1%
- Finance top 2%
- Statistical and Nonlinear Physics top 2%
- Management Science and Operations Research top 5%
- Global and Planetary Change
- Co-authors
- Jie CaoLongbing XuWei XuLing‐Yun HeMinjia ZhangWeijun CuiLin ZhaoMin Xu
- Topics
- Complex Systems and Time Series Analysis (37 papers)Market Dynamics and Volatility (26 papers)Financial Risk and Volatility Modeling (18 papers)
- Partner nations
- ChinaUnited KingdomMacao
In The Last Decade
Guangxi Cao
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Economics and Econometrics 993
- Finance 458
- Statistical and Nonlinear Physics 258
- Management Science and Operations Research 145
- Global and Planetary Change 94
Countries citing papers authored by Guangxi Cao
This map shows the geographic impact of Guangxi Cao'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 Guangxi Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangxi Cao more than expected).
Fields of papers citing papers by Guangxi Cao
This network shows the impact of papers produced by Guangxi Cao. 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 Guangxi Cao. The network helps show where Guangxi Cao may publish in the future.
Co-authorship network of co-authors of Guangxi Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Guangxi Cao. A scholar is included among the top collaborators of Guangxi Cao 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 Guangxi Cao. Guangxi Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 70 | |
| 11 | 22 | |
| 12 | 16 | |
| 13 | 2 | |
| 14 | 26 | |
| 15 | 8 | |
| 16 | 26 | |
| 17 | A Spatial Econometric Analysis of the Relationship between Economic Clusters and Economic Growth: Evidence from Jiangsu Province | 1 |
| 18 | 1 | |
| 19 | Empirical Research on Double Long Memory of Chinese Stock Markets Return——Using ARFIMA-HYGARCH-skt Model Based on VaR Method | 0 |
| 20 | EMPIRICAL ANALYSIS ON SPILLOVER EFFECT OF FDI TO REGIONAL INNOVATION CAPABILITY | 1 |
About Guangxi Cao
Guangxi Cao is a scholar working on Finance, Economics and Econometrics and Statistical and Nonlinear Physics, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (37 papers), Market Dynamics and Volatility (26 papers) and Financial Risk and Volatility Modeling (18 papers). The work is most often cited by research in Finance (458 citations), Economics and Econometrics (993 citations) and Statistical and Nonlinear Physics (258 citations). Guangxi Cao has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Jie Cao, Longbing Xu, Wei Xu, Ling‐Yun He, Minjia Zhang, Weijun Cui, Lin Zhao, Min Xu, Wei Xu and Qi Zhang. Their work appears in journals such as Journal of Cleaner Production, Renewable Energy and Sustainability.
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.