Tiee‐Jian Wu

462 total citations
19 papers, 361 citations indexed

About

Tiee‐Jian Wu is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Tiee‐Jian Wu has authored 19 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 5 papers in Control and Systems Engineering. Recurrent topics in Tiee‐Jian Wu's work include Statistical Methods and Inference (8 papers), Control Systems and Identification (5 papers) and Advanced Statistical Methods and Models (4 papers). Tiee‐Jian Wu is often cited by papers focused on Statistical Methods and Inference (8 papers), Control Systems and Identification (5 papers) and Advanced Statistical Methods and Models (4 papers). Tiee‐Jian Wu collaborates with scholars based in Taiwan, United States and Canada. Tiee‐Jian Wu's co-authors include Daniel B. Davison, John P. Burke, Miao Bai-qi, Xiaoping Shi, Pinyuen Chen, Yanjun Yan, Chih–Yuan Hsu, Madan L. Puri and Lisa Ann Osadciw and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Biometrics.

In The Last Decade

Tiee‐Jian Wu

19 papers receiving 339 citations

Peers

Tiee‐Jian Wu
Yingli Qin Canada
Artin Armagan United States
Ao Yuan United States
P. Hall Australia
J. Kleffe Germany
Yingli Qin Canada
Tiee‐Jian Wu
Citations per year, relative to Tiee‐Jian Wu Tiee‐Jian Wu (= 1×) peers Yingli Qin

Countries citing papers authored by Tiee‐Jian Wu

Since Specialization
Citations

This map shows the geographic impact of Tiee‐Jian 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 Tiee‐Jian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiee‐Jian Wu more than expected).

Fields of papers citing papers by Tiee‐Jian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiee‐Jian 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 Tiee‐Jian Wu. The network helps show where Tiee‐Jian Wu may publish in the future.

Co-authorship network of co-authors of Tiee‐Jian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tiee‐Jian Wu. A scholar is included among the top collaborators of Tiee‐Jian 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 Tiee‐Jian Wu. Tiee‐Jian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hsu, Chih–Yuan & Tiee‐Jian Wu. (2013). Efficient estimation of the mode of continuous multivariate data. Computational Statistics & Data Analysis. 63. 148–159. 4 indexed citations
2.
Wu, Tiee‐Jian, et al.. (2013). Root $$n$$ n estimates of vectors of integrated density partial derivative functionals. Annals of the Institute of Statistical Mathematics. 66(5). 865–895. 2 indexed citations
3.
Wu, Tiee‐Jian, Pinyuen Chen, & Yanjun Yan. (2012). The weighted average information criterion for multivariate regression model selection. Signal Processing. 93(1). 49–55. 10 indexed citations
4.
Wu, Tiee‐Jian, Xiaoping Shi, & Miao Bai-qi. (2009). Asymptotic approximation of inverse moments of nonnegative random variables. Statistics & Probability Letters. 79(11). 1366–1371. 21 indexed citations
5.
Chen, Pinyuen, Lisa Ann Osadciw, & Tiee‐Jian Wu. (2009). Multiple targets characterization of electromagnetic vulnerability. Signal Processing. 90(1). 344–351. 2 indexed citations
6.
Wu, Tiee‐Jian, et al.. (2005). Optimal word sizes for dissimilarity measures and estimation of the degree of dissimilarity between DNA sequences. Bioinformatics. 21(22). 4125–4132. 46 indexed citations
7.
Wu, Tiee‐Jian, et al.. (2004). Root n bandwidths selectors in multivariate kernel density estimation. Probability Theory and Related Fields. 129(4). 537–558. 13 indexed citations
8.
Wu, Tiee‐Jian, et al.. (2001). Statistical Measures of DNA Sequence Dissimilarity under Markov Chain Models of Base Composition. Biometrics. 57(2). 441–448. 93 indexed citations
9.
Wu, Tiee‐Jian, et al.. (2000). INFORMATION BOUND FOR BANDWIDTH SELECTION IN KERNEL ESTIMATION OF DENSITY DERIVATIVES. Statistica Sinica. 10(2). 457–473. 3 indexed citations
10.
Wu, Tiee‐Jian, et al.. (1998). The weighted average information criterion for order selection in time series and regression models. Statistics & Probability Letters. 39(1). 1–10. 27 indexed citations
11.
Wu, Tiee‐Jian. (1997). Root n Bandwidth Selectors for Kernel Estimation of Density Derivatives. Journal of the American Statistical Association. 92(438). 536–547. 10 indexed citations
12.
Wu, Tiee‐Jian. (1997). Root n Bandwidth Selectors for Kernel Estimation of Density Derivatives. Journal of the American Statistical Association. 92(438). 536–536. 7 indexed citations
13.
Wu, Tiee‐Jian, John P. Burke, & Daniel B. Davison. (1997). A Measure of DNA Sequence Dissimilarity Based on Mahalanobis Distance between Frequencies of Words. Biometrics. 53(4). 1431–1431. 96 indexed citations
14.
Wu, Tiee‐Jian, et al.. (1996). Weighted least squares estimates in linear regression models for processes with uncorrelated increments. Stochastic Processes and their Applications. 64(2). 273–286. 1 indexed citations
15.
Wu, Tiee‐Jian. (1995). Adaptive Root $n$ Estimates of Integrated Squared Density Derivatives. The Annals of Statistics. 23(5). 16 indexed citations
16.
Wu, Tiee‐Jian, et al.. (1990). Time integrated least squares estimators of regression parameters of independent stochastic processes. Stochastic Processes and their Applications. 35(1). 141–148. 4 indexed citations
17.
Wu, Tiee‐Jian. (1986). A Large Deviation Result for Signed Linear Rank Statistics Under the Symmetry Hypothesis. The Annals of Statistics. 14(2). 4 indexed citations
18.
Wu, Tiee‐Jian. (1986). On the Lp rates of convergence of simple linear rank statistics under contiguous alternatives. Journal of Statistical Planning and Inference. 15. 29–41. 1 indexed citations
19.
Puri, Madan L. & Tiee‐Jian Wu. (1985). Gaussian approximation of signed rank statistics process. Journal of Statistical Planning and Inference. 11(3). 277–312. 1 indexed citations

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.

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