Shaw Chen
Impact in
- Finance top 10%
- Financial Markets and Investment Strategies
- Accounting top 10%
- Corporate Finance and Governance
Papers in
- Finance 4
- Financial Markets and Investment Strategies 3
- Banking stability, regulation, efficiency 2
-
- Corporate Finance and Governance 3
- Co-authors
- Alan Olinsky (1 shared paper)Lisa L. Harlow (1 shared paper)Guochuan Tsai (1 shared paper)Joseph Coyle (1 shared paper)Robert S. Chang (1 shared paper)Paul Ragan (1 shared paper)Tong Yu (3 shared papers)Tong Yao (3 shared papers)
- Journals
- American Journal of Psychiatry (1 paper)European Journal of Operational Research (1 paper)Pacific-Basin Finance Journal (1 paper)Journal of Ethnopharmacology (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesHong KongAustralia
In The Last Decade
Shaw Chen
9 papers receiving 520 citations
Peers
Comparison fields: 5 of 130
- Finance 53
- Accounting 51
- Complementary and alternative medicine 32
- Applied Psychology 18
- Biological Psychiatry 8
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 | 255 | |
| 2 | 1998 | 149 | |
| 3 | 2012 | 83 | |
| 4 | 2010 | 43 | |
| 5 | 1997 | 12 | |
| 6 | 2010 | 7 | |
| 7 | Do the Chinese Bourses (Stock Markets) Predict Economic Growth | 2009 | 5 |
| 8 | Asset Growth and Stock Returns | 2008 | 3 |
| 9 | 2000 | 2 |
About Shaw Chen
Shaw Chen is a scholar working on Finance, Accounting, Management Science and Operations Research, Economics and Econometrics and Surgery, having authored 9 papers that have together received 559 indexed citations. Recurring topics across this work include Corporate Finance and Governance (3 papers), Financial Markets and Investment Strategies (3 papers), Banking stability, regulation, efficiency (2 papers), Complex Systems and Time Series Analysis (2 papers), Biosimilars and Bioanalytical Methods (1 paper), Meta-analysis and systematic reviews (1 paper), Psychometric Methodologies and Testing (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). The work is most often cited by research in Finance (53 citations), Accounting (51 citations), Complementary and alternative medicine (32 citations), Applied Psychology (18 citations) and Biological Psychiatry (8 citations). Shaw Chen has collaborated with scholars based in United States, Hong Kong and Australia. Frequent co-authors include Alan Olinsky, Lisa L. Harlow, Guochuan Tsai, Joseph Coyle, Robert S. Chang, Paul Ragan, Tong Yu, Tong Yao, Ting Zhang and Jeffrey E. Jarrett. Their work appears in journals such as American Journal of Psychiatry, European Journal of Operational Research, Pacific-Basin Finance Journal, Journal of Ethnopharmacology and The Journal of Infectious Diseases.
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.