Shaw Chen
Impact in
-
- Complementary and Alternative Medicine Studies
- Finance top 10%
- Financial Markets and Investment Strategies
Papers in
- Finance 3
- Financial Markets and Investment Strategies 2
- Financial Risk and Volatility Modeling 1
-
- Corporate Finance and Governance 2
- Co-authors
- Lisa L. Harlow (1 shared paper)Alan D. Olinsky (1 shared paper)JOSEPH T. COYLE (1 shared paper)Robert S. Chang (1 shared paper)Guochuan Emil Tsai (1 shared paper)Paul W. Ragan (1 shared paper)Tong Yu (2 shared papers)Ting Zhang (2 shared papers)
- Journals
- American Journal of Psychiatry (1 paper)The Journal of Infectious Diseases (1 paper)European Journal of Operational Research (1 paper)Pacific-Basin Finance Journal (1 paper)Journal of Ethnopharmacology (1 paper)
- Partner nations
- United StatesAustraliaHong Kong
In The Last Decade
Shaw Chen
8 papers receiving 543 citations
Peers
Comparison fields: 5 of 131
- Complementary and alternative medicine 50
- Finance 44
- Accounting 43
- Applied Psychology 18
- Pharmacology 30
Countries citing papers authored by Shaw Chen
This map shows the geographic impact of Shaw Chen'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 Shaw Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaw Chen more than expected).
Fields of papers citing papers by Shaw Chen
This network shows the impact of papers produced by Shaw Chen. 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 Shaw Chen. The network helps show where Shaw Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaw Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 258 | |
| 2 | 1998 | 157 | |
| 3 | 2012 | 112 | |
| 4 | 2010 | 40 | |
| 5 | 1997 | 12 | |
| 6 | Do the Chinese Bourses (Stock Markets) Predict Economic Growth | 2009 | 5 |
| 7 | Asset Growth and Stock Returns | 2008 | 3 |
| 8 | 2000 | 2 |
About Shaw Chen
Shaw Chen is a scholar working on Finance, Accounting, Management Science and Operations Research, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 8 papers that have together received 589 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (2 papers), Corporate Finance and Governance (2 papers), Financial Markets and Investment Strategies (2 papers), Stock Market Forecasting Methods (1 paper), Economic theories and models (1 paper), Psychometric Methodologies and Testing (1 paper), Lipoproteins and Cardiovascular Health (1 paper) and Financial Risk and Volatility Modeling (1 paper). The work is most often cited by research in Complementary and alternative medicine (50 citations), Finance (44 citations), Accounting (43 citations), Applied Psychology (18 citations) and Pharmacology (30 citations). Shaw Chen has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Lisa L. Harlow, Alan D. Olinsky, JOSEPH T. COYLE, Robert S. Chang, Guochuan Emil Tsai, Paul W. Ragan, Tong Yu, Ting Zhang, Tong Yao and William W.-G. Jia. Their work appears in journals such as American Journal of Psychiatry, The Journal of Infectious Diseases, European Journal of Operational Research, Pacific-Basin Finance Journal and Journal of Ethnopharmacology.
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.