Yingying Li
- Finance top 1%
- Nuclear and High Energy Physics top 5%
- Economics and Econometrics top 5%
- Artificial Intelligence top 5%
- Statistics and Probability top 5%
- Co-authors
- Xinghua ZhengJianqing FanYacine Aı̈t-SahaliaTao LiuKe YuJean JacodJan HajerMarcela Carena
- Topics
- Financial Risk and Volatility Modeling (27 papers)Stochastic processes and financial applications (16 papers)Particle physics theoretical and experimental studies (14 papers)
- Journals
- Physical Review LettersJournal of the American Statistical AssociationJournal of Financial Economics
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yingying Li
88 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Finance 600
- Nuclear and High Energy Physics 358
- Economics and Econometrics 344
- Artificial Intelligence 242
- Statistics and Probability 122
Countries citing papers authored by Yingying Li
This map shows the geographic impact of Yingying Li'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 Yingying Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingying Li more than expected).
Fields of papers citing papers by Yingying Li
This network shows the impact of papers produced by Yingying Li. 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 Yingying Li. The network helps show where Yingying Li may publish in the future.
Co-authorship network of co-authors of Yingying Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yingying Li. A scholar is included among the top collaborators of Yingying Li 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 Yingying Li. Yingying Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 21 | |
| 11 | 34 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 23 | |
| 15 | 39 | |
| 16 | 9 | |
| 17 | 21 | |
| 18 | 20 | |
| 19 | Estimating parameters of GMM based on split EM | 2 |
| 20 | Modeling Athlete Performance Using Clustering Techniques | 4 |
About Yingying Li
Yingying Li is a scholar working on Finance, Nuclear and High Energy Physics and Health Informatics, having authored 95 papers that have together received 1.5k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (27 papers), Stochastic processes and financial applications (16 papers) and Particle physics theoretical and experimental studies (14 papers). The work is most often cited by research in Finance (600 citations), Nuclear and High Energy Physics (358 citations) and Statistics and Probability (122 citations). Yingying Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xinghua Zheng, Jianqing Fan, Yacine Aı̈t-Sahalia, Tao Liu, Ke Yu, Jean Jacod, Jan Hajer, Marcela Carena, He Wang and Per A. Mykland. Their work appears in journals such as Physical Review Letters, Journal of the American Statistical Association and Journal of Financial Economics.
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.