Ying Yuan
- Economics and Econometrics top 2%
- Finance top 2%
- Statistical and Nonlinear Physics top 5%
- Management Science and Operations Research top 5%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Zhuang Xin-tianXiu JinZhiying LiuTianyang WangChien‐Chiang LeeHuwei WenWei-Qiang HuangXunhong Wang
- Topics
- Market Dynamics and Volatility (14 papers)Financial Risk and Volatility Modeling (12 papers)Complex Systems and Time Series Analysis (11 papers)
- Journals
- Expert Systems with ApplicationsSustainabilityPhysica A Statistical Mechanics and its Applications
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ying Yuan
31 papers receiving 658 citations
Peers
Comparison fields: 5 of 82
- Economics and Econometrics 550
- Finance 278
- Statistical and Nonlinear Physics 159
- Management Science and Operations Research 113
- General Economics, Econometrics and Finance 46
Countries citing papers authored by Ying Yuan
This map shows the geographic impact of Ying Yuan'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 Ying Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Yuan more than expected).
Fields of papers citing papers by Ying Yuan
This network shows the impact of papers produced by Ying Yuan. 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 Ying Yuan. The network helps show where Ying Yuan may publish in the future.
Co-authorship network of co-authors of Ying Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Yuan. A scholar is included among the top collaborators of Ying Yuan 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 Ying Yuan. Ying Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 61 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 36 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 39 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | Stock Market Index Forecasting Based on IDNPSO-BP Neural Network | 1 |
| 19 | 9 | |
| 20 | Neural Network Modeling and Stock Price Index Forecasting Based on Multifractal Spectrum | 1 |
About Ying Yuan
Ying Yuan is a scholar working on Finance, General Energy and Economics and Econometrics, having authored 36 papers that have together received 677 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (14 papers), Financial Risk and Volatility Modeling (12 papers) and Complex Systems and Time Series Analysis (11 papers). The work is most often cited by research in Finance (278 citations), Economics and Econometrics (550 citations) and Statistical and Nonlinear Physics (159 citations). Ying Yuan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhuang Xin-tian, Xiu Jin, Zhiying Liu, Tianyang Wang, Chien‐Chiang Lee, Huwei Wen, Wei-Qiang Huang, Xunhong Wang, Shu Lin and Shuang Yao. Their work appears in journals such as Expert Systems with Applications, Sustainability and Physica A Statistical Mechanics and its Applications.
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.