Ran Wang
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
- Finance 22
- Stochastic processes and financial applications 21
- Financial Risk and Volatility Modeling 4
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- Stochastic processes and statistical mechanics 11
- Co-authors
- Tusheng Zhang (3 shared papers)Jianliang Zhai (3 shared papers)Lihu Xu (4 shared papers)Levent Kutlu (2 shared papers)Chuan Shi (2 shared papers)Bin Wu (2 shared papers)Liming Wu (3 shared papers)Philip S. Yu (2 shared papers)
- Journals
- Land Economics (3 papers)Nonlinear Dynamics (3 papers)Stochastics and Dynamics (3 papers)Journal of Theoretical Probability (2 papers)Journal of Differential Equations (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Ran Wang
46 papers receiving 400 citations
Peers
Comparison fields: 5 of 87
- Finance 174
- Mathematical Physics 101
- Applied Mathematics 79
- Statistical and Nonlinear Physics 62
- Modeling and Simulation 20
Countries citing papers authored by Ran Wang
This map shows the geographic impact of Ran 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 Ran Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Wang more than expected).
Fields of papers citing papers by Ran Wang
This network shows the impact of papers produced by Ran 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 Ran Wang. The network helps show where Ran Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 41 | |
| 2 | 2014 | 34 | |
| 3 | 2021 | 32 | |
| 4 | 2014 | 28 | |
| 5 | 2009 | 23 | |
| 6 | 2017 | 16 | |
| 7 | 2017 | 15 | |
| 8 | 2018 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2013 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2017 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2015 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2020 | 7 |
About Ran Wang
Ran Wang is a scholar working on Finance, Mathematical Physics, Computational Theory and Mathematics, Modeling and Simulation and Applied Mathematics, having authored 51 papers that have together received 411 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Advanced Mathematical Modeling in Engineering (13 papers), Stochastic processes and statistical mechanics (11 papers), Nonlinear Waves and Solitons (5 papers), Energy, Environment, Economic Growth (4 papers), Financial Risk and Volatility Modeling (4 papers), Geometric Analysis and Curvature Flows (3 papers) and Nonlinear Partial Differential Equations (3 papers). The work is most often cited by research in Finance (174 citations), Mathematical Physics (101 citations), Applied Mathematics (79 citations), Statistical and Nonlinear Physics (62 citations) and Modeling and Simulation (20 citations). Ran Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Tusheng Zhang, Jianliang Zhai, Lihu Xu, Levent Kutlu, Chuan Shi, Bin Wu, Liming Wu, Philip S. Yu, Xuegang Yuan and Yitong Li. Their work appears in journals such as Land Economics, Nonlinear Dynamics, Stochastics and Dynamics, Journal of Theoretical Probability and Journal of Differential Equations.
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.