Wang Tan
Impact in
- General Decision Sciences top 2%
- Decision-Making and Behavioral Economics
- Finance top 2%
- Financial Markets and Investment Strategies
- Stochastic processes and financial applications
- Banking stability, regulation, efficiency
- Credit Risk and Financial Regulations
Papers in
- Finance 4
- Financial Markets and Investment Strategies 3
- Stochastic processes and financial applications 2
- Global Financial Crisis and Policies 1
- Banking stability, regulation, efficiency 1
-
- Decision-Making and Behavioral Economics 1
- Co-authors
- Larry G. Epstein (1 shared paper)Dimitri Vayanos (1 shared paper)Mark J. Kamstra (1 shared paper)Lisa A. Kramer (1 shared paper)Maurice David Levi (1 shared paper)David D. W. Yao (1 shared paper)L. M. Zhang (1 shared paper)Samuel Drapeau (1 shared paper)
- Journals
- Production and Operations Management (1 paper)Journal of Economic Theory (1 paper)Econometrica (1 paper)Management Science (1 paper)The Journal of Derivatives (1 paper)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Wang Tan
6 papers receiving 468 citations
Peers
Comparison fields: 5 of 30
- General Decision Sciences 112
- Finance 276
- Economics and Econometrics 175
- General Economics, Econometrics and Finance 30
- Management Science and Operations Research 50
Countries citing papers authored by Wang Tan
This map shows the geographic impact of Wang Tan'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 Wang Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Tan more than expected).
Fields of papers citing papers by Wang Tan
This network shows the impact of papers produced by Wang Tan. 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 Wang Tan. The network helps show where Wang Tan may publish in the future.
Co-authors
The 9 scholars most cited alongside Wang Tan, 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 | 1994 | 344 | |
| 2 | 2006 | 103 | |
| 3 | 2014 | 25 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 3 | |
| 6 | 2024 | 2 |
About Wang Tan
Wang Tan is a scholar working on Finance, General Decision Sciences, Economics and Econometrics, Management Science and Operations Research and Nuclear Energy and Engineering, having authored 6 papers that have together received 493 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (3 papers), Stochastic processes and financial applications (2 papers), Economic theories and models (2 papers), Global Financial Crisis and Policies (1 paper), Banking stability, regulation, efficiency (1 paper), Risk and Portfolio Optimization (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in General Decision Sciences (112 citations), Finance (276 citations), Economics and Econometrics (175 citations), General Economics, Econometrics and Finance (30 citations) and Management Science and Operations Research (50 citations). Wang Tan has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Larry G. Epstein, Dimitri Vayanos, Mark J. Kamstra, Lisa A. Kramer, Maurice David Levi, David D. W. Yao, L. M. Zhang, Samuel Drapeau and Tao Wang. Their work appears in journals such as Production and Operations Management, Journal of Economic Theory, Econometrica, Management Science and The Journal of Derivatives.
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.