Wei Biao Wu
- Statistics and Probability top 0.1%
- Finance top 0.5%
- Economics and Econometrics top 1%
- Artificial Intelligence top 2%
- General Economics, Econometrics and Finance top 2%
- Co-authors
- Xiaofeng ShaoZhibiao ZhaoZhou ZhouXiao HanDanna ZhangMichael WoodroofeWeidong LiuJan Mielniczuk
- Topics
- Financial Risk and Volatility Modeling (56 papers)Statistical Methods and Inference (48 papers)Stochastic processes and financial applications (27 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wei Biao Wu
146 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 124
- Statistics and Probability 1.6k
- Finance 1.3k
- Economics and Econometrics 712
- Artificial Intelligence 516
- General Economics, Econometrics and Finance 331
Countries citing papers authored by Wei Biao Wu
This map shows the geographic impact of Wei Biao Wu'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 Wei Biao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Biao Wu more than expected).
Fields of papers citing papers by Wei Biao Wu
This network shows the impact of papers produced by Wei Biao Wu. 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 Wei Biao Wu. The network helps show where Wei Biao Wu may publish in the future.
Co-authorship network of co-authors of Wei Biao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Biao Wu. A scholar is included among the top collaborators of Wei Biao Wu 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 Wei Biao Wu. Wei Biao Wu 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 | 1 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | Concentration inequalities for empirical processes of linear time series | 6 |
| 12 | 14 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | 8 | |
| 16 | 20 | |
| 17 | 3 | |
| 18 | 33 | |
| 19 | 70 | |
| 20 | 16 |
About Wei Biao Wu
Wei Biao Wu is a scholar working on Statistics and Probability, Finance and Mathematical Physics, having authored 158 papers that have together received 3.2k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (56 papers), Statistical Methods and Inference (48 papers) and Stochastic processes and financial applications (27 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Finance (1.3k citations) and General Economics, Econometrics and Finance (331 citations). Wei Biao Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiaofeng Shao, Zhibiao Zhao, Zhou Zhou, Xiao Han, Danna Zhang, Michael Woodroofe, Weidong Liu, Jan Mielniczuk, Wanli Min and Magda Peligrad. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.