The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Wei Biao Wu sits on this spectrum.
This scientist: 140 publications — 32nd percentile
32% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Wei Biao Wu sits on this spectrum.
This scientist: 42 D-Index — 51st percentile
51% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Wei Biao Wu is affiliated with the University of Chicago in the United States. Their research spans several disciplines, with a significant focus on fields such as Computer Science, Mathematics, and Economics, Econometrics and Finance. Within these domains, they have contributed notably to subfields including Statistics and Probability, Artificial Intelligence, Finance, Economics and Econometrics, as well as Statistics, Probability and Uncertainty.
Their work covers a diverse set of main topics including Statistical Methods and Inference, Financial Risk and Volatility Modeling, Advanced Statistical Methods and Models, Market Dynamics and Volatility, Advanced Statistical Process Monitoring, Complex Systems and Time Series Analysis, and Stochastic processes and financial applications.
Wei Biao Wu has published extensively in a range of academic venues. Frequent publication outlets include:
Their recent papers demonstrate a focus on statistical methodology, stochastic processes, and applications in economics and machine learning. Notable publications include:
The scientist collaborates frequently with a core group of co-authors, reflecting interdisciplinary work:
Wei Biao Wu's contributions emphasize rigorous statistical approaches to problems in time series, covariance estimation, and volatility modeling, with applications extending to finance and artificial intelligence. Their publication record reflects engagement with both theoretical and applied research questions across multiple domains within the broader field of statistical science.
Wei Biao Wu
Wei Biao Wu;Mohsen Pourahmadi
Wei Biao Wu
Wei Biao Wu;Zhibiao Zhao
Wei Biao Wu;Xiaofeng Shao
Xiaofeng Shao;Wei Biao Wu
Danna Zhang;Wei Biao Wu
Zhou Zhou;Wei Biao Wu
Xiaohui Chen;Mengyu Xu;Wei Biao Wu
Wei Biao Wu
Wei Biao Wu
Wei Biao Wu;Mohsen Pourahmadi
Wei Biao Wu;Jan Mielniczuk
Wei Biao Wu
Wei Biao Wu;Michael Woodroofe;Graciela Mentz
Wei Biao Wu
Wei Biao Wu;Wanli Min
Weidong Liu;Wei Biao Wu
Han Xiao;Wei Biao Wu
Wei Biao Wu;Michael Woodroofe
Xiaohong Chen;Wei Biao Wu Wu;Yanping Yi
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National Institutes of Health
National Taiwan University
McGill University
Temple University
University of California, Los Angeles
Max Planck Society
Tohoku University
University of Southampton
University of Calgary
New England Biolabs
University of Cambridge
Brigham and Women's Hospital
University of Illinois at Urbana-Champaign
Lawrence Livermore National Laboratory
University of Tokyo
Universidade de São Paulo
