Wu is best-known for his work on
dependence, in which the main new idea is to interpret random processes as physical systems, and to examine coefficients that would have physical meaning.[2][3] According to
Google Scholar, this work has been cited over 350 times.[4] Wu has written over 100 papers.[5][6]
Wu has more than 20 students and their descendants working in academia.
Most-cited publications
His most cited article, WB Wu, Nonlinear system theory: Another look at dependence in Proceedings of the National Academy of Sciences (2005) 2005 Oct 4;102(40):14150-4.
[1] (open access) has been cited 485 times, according to Google Scholar.[7]
Wu WB, Pourahmadi M. Nonparametric estimation of large covariance matrices of longitudinal data. Biometrika. 2003 Dec 1;90(4):831-44.
[2] (open access) has been cited 341 times, according to Google Scholar [7]
Wu WB. Strong invariance principles for dependent random variables. The Annals of Probability. 2007;35(6):2294-320.
[3] (open access) has been cited 235 times, according to Google Scholar [7]
Wu WB, Shao X. Limit theorems for iterated random functions. Journal of Applied Probability. 2004 Jun;41(2):425-36.
[4] has been cited 194 times, according to Google Scholar [7]
Wu WB, Zhao Z. Inference of trends in time series. Journal of the Royal Statistical Society, Series B (Statistical Methodology). 2007 Jun;69(3):391-410.
[5] (open access) (Cited 172 times, according to Google Scholar.[7])
Shao X, Wu WB. Asymptotic spectral theory for nonlinear time series. The Annals of Statistics. 2007 Aug;35(4):1773-801. [](open access) (Cited 199 times, according to Google Scholar.
[6] (open access) [7])
In all, he has published 38 papers with ≥38 citations each.[7]
^Dedecker, Jérôme; Doukhan, Paul; Lang, Gabriel; León R., José Rafael; Louhichi, Sana; Prieur, Clémentine (2007). Weak dependence : with examples and applications. New York: Springer. p. 32.
ISBN978-0-387-69951-6.
MR2338725.
OCLC191465311.