Litan Yan
Impact in
- Finance top 1%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions
Papers in
- Finance 106
- Stochastic processes and financial applications 104
- Financial Risk and Volatility Modeling 40
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- Nonlinear Differential Equations Analysis 35
- Co-authors
- Jing Cui (11 shared papers)Guangjun Shen (13 shared papers)Weiyin Fei (7 shared papers)Chen Fei (6 shared papers)Xuerong Mao (4 shared papers)Zhi Li (6 shared papers)Xiaotai Wu (5 shared papers)Kun He (2 shared papers)
- Journals
- Stochastics (7 papers)Stochastics and Dynamics (5 papers)Abstract and Applied Analysis (5 papers)Journal of Theoretical Probability (4 papers)Nonlinear Analysis Hybrid Systems (4 papers)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Litan Yan
117 papers receiving 874 citations
Peers
Comparison fields: 5 of 47
- Finance 537
- Modeling and Simulation 236
- Applied Mathematics 331
- Mathematical Physics 190
- Numerical Analysis 88
Countries citing papers authored by Litan Yan
This map shows the geographic impact of Litan Yan'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 Litan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Litan Yan more than expected).
Fields of papers citing papers by Litan Yan
This network shows the impact of papers produced by Litan Yan. 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 Litan Yan. The network helps show where Litan Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Litan Yan, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 96 | |
| 2 | 2019 | 66 | |
| 3 | 2009 | 36 | |
| 4 | 2018 | 34 | |
| 5 | 2011 | 29 | |
| 6 | 2011 | 28 | |
| 7 | 2018 | 25 | |
| 8 | 2012 | 20 | |
| 9 | 2008 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2012 | 18 | |
| 12 | 2014 | 17 | |
| 13 | 2011 | 15 | |
| 14 | 2013 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2015 | 14 | |
| 17 | 2011 | 13 | |
| 18 | 2007 | 13 | |
| 19 | 2012 | 12 | |
| 20 | 2019 | 12 |
About Litan Yan
Litan Yan is a scholar working on Finance, Applied Mathematics, Mathematical Physics, Control and Systems Engineering and Economics and Econometrics, having authored 130 papers that have together received 949 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (104 papers), Financial Risk and Volatility Modeling (40 papers), Nonlinear Differential Equations Analysis (35 papers), Stochastic processes and statistical mechanics (28 papers), Stability and Controllability of Differential Equations (23 papers), Complex Systems and Time Series Analysis (22 papers), advanced mathematical theories (12 papers) and Fractional Differential Equations Solutions (12 papers). The work is most often cited by research in Finance (537 citations), Modeling and Simulation (236 citations), Applied Mathematics (331 citations), Mathematical Physics (190 citations) and Numerical Analysis (88 citations). Litan Yan has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Jing Cui, Guangjun Shen, Weiyin Fei, Chen Fei, Xuerong Mao, Zhi Li, Xiaotai Wu, Kun He, Mingxuan Shen and Wenbing Zhang. Their work appears in journals such as Stochastics, Stochastics and Dynamics, Abstract and Applied Analysis, Journal of Theoretical Probability and Nonlinear Analysis Hybrid Systems.
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.