Tianyang Wang
- Economics and Econometrics top 5%
- Finance top 5%
- Management Science and Operations Research top 5%
- General Economics, Econometrics and Finance top 5%
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Sanjay RamchanderHong MiaoDong‐xiao YangJames S. DyerJing AiVickie L. BajtelsmitYing YuanArjun Chatrath
- Topics
- Market Dynamics and Volatility (14 papers)Monetary Policy and Economic Impact (8 papers)Financial Risk and Volatility Modeling (8 papers)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Tianyang Wang
39 papers receiving 500 citations
Peers
Comparison fields: 5 of 87
- Economics and Econometrics 369
- Finance 198
- Management Science and Operations Research 127
- General Economics, Econometrics and Finance 95
- Renewable Energy, Sustainability and the Environment 87
Countries citing papers authored by Tianyang Wang
This map shows the geographic impact of Tianyang Wang'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 Tianyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyang Wang more than expected).
Fields of papers citing papers by Tianyang Wang
This network shows the impact of papers produced by Tianyang Wang. 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 Tianyang Wang. The network helps show where Tianyang Wang may publish in the future.
Co-authorship network of co-authors of Tianyang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Tianyang Wang. A scholar is included among the top collaborators of Tianyang Wang 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 Tianyang Wang. Tianyang Wang 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 15 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 50 | |
| 13 | 5 | |
| 14 | 22 | |
| 15 | 44 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | A Copulas-Based Approach to Modeling Dependence in Decision Trees | 2 |
| 19 | Valuing Multifactor Real Options Using an Implied Binomial Tree | 1 |
| 20 | 9 |
About Tianyang Wang
Tianyang Wang is a scholar working on Finance, General Decision Sciences and General Energy, having authored 46 papers that have together received 530 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (14 papers), Monetary Policy and Economic Impact (8 papers) and Financial Risk and Volatility Modeling (8 papers). The work is most often cited by research in Finance (198 citations), Economics and Econometrics (369 citations) and General Energy (12 citations). Tianyang Wang has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Sanjay Ramchander, Hong Miao, Dong‐xiao Yang, James S. Dyer, Jing Ai, Vickie L. Bajtelsmit, Ying Yuan, Arjun Chatrath, Xiu Jin and Jian Yang. Their work appears in journals such as Expert Systems with Applications, Biochemical Pharmacology and Operations Research.
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.