Chia-Shang James Chu
- Economics and Econometrics top 0.05%
- General Economics, Econometrics and Finance top 0.1%
- Renewable Energy, Sustainability and the Environment top 1%
- Finance top 0.5%
- Accounting top 1%
- Co-authors
- Andrew LevinChien‐Fu LinKurt HornikHalbert WhiteChung‐Ming KuanG.J. SantoniTung LiuZhentao Shi
- Topics
- Financial Risk and Volatility Modeling (8 papers)Complex Systems and Time Series Analysis (8 papers)Monetary Policy and Economic Impact (7 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Chia-Shang James Chu
14 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Economics and Econometrics 7.7k
- General Economics, Econometrics and Finance 3.0k
- Renewable Energy, Sustainability and the Environment 1.8k
- Finance 1.6k
- Accounting 930
Countries citing papers authored by Chia-Shang James Chu
This map shows the geographic impact of Chia-Shang James Chu'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 Chia-Shang James Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Shang James Chu more than expected).
Fields of papers citing papers by Chia-Shang James Chu
This network shows the impact of papers produced by Chia-Shang James Chu. 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 Chia-Shang James Chu. The network helps show where Chia-Shang James Chu may publish in the future.
Co-authorship network of co-authors of Chia-Shang James Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Shang James Chu. A scholar is included among the top collaborators of Chia-Shang James Chu 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 Chia-Shang James Chu. Chia-Shang James Chu 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 | 13 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | Unit root tests in panel data: asymptotic and finite-sample propertiesbreakdown → | 9291 |
| 8 | 38 | |
| 9 | 63 | |
| 10 | 48 | |
| 11 | 103 | |
| 12 | 73 | |
| 13 | 9 | |
| 14 | The econometrics of structural change | 1 |
| 15 | 60 | |
| 16 | 32 |
About Chia-Shang James Chu
Chia-Shang James Chu is a scholar working on Finance, General Economics, Econometrics and Finance and Statistics and Probability, having authored 16 papers that have together received 9.8k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (8 papers), Complex Systems and Time Series Analysis (8 papers) and Monetary Policy and Economic Impact (7 papers). The work is most often cited by research in General Economics, Econometrics and Finance (3.0k citations), Economics and Econometrics (7.7k citations) and Finance (1.6k citations). Chia-Shang James Chu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Andrew Levin, Chien‐Fu Lin, Kurt Hornik, Halbert White, Chung‐Ming Kuan, G.J. Santoni, Tung Liu, Zhentao Shi, Hsin‐Min Lu and Tianyi Wang. Their work appears in journals such as Biometrika, Journal of Econometrics and Information Sciences.
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.