William W. S. Wei

3.7k total citations · 1 hit paper
33 papers, 2.4k citations indexed

About

William W. S. Wei is a scholar working on Economics and Econometrics, Statistics and Probability and Finance. According to data from OpenAlex, William W. S. Wei has authored 33 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 11 papers in Statistics and Probability and 8 papers in Finance. Recurrent topics in William W. S. Wei's work include Financial Risk and Volatility Modeling (8 papers), Forecasting Techniques and Applications (8 papers) and Advanced Statistical Methods and Models (7 papers). William W. S. Wei is often cited by papers focused on Financial Risk and Volatility Modeling (8 papers), Forecasting Techniques and Applications (8 papers) and Advanced Statistical Methods and Models (7 papers). William W. S. Wei collaborates with scholars based in United States, Portugal and India. William W. S. Wei's co-authors include Alice Z. Chuang, Steven C. Hillmer, Robert H. Shumway, Daniel O. Stram, Christopher Chatfield, Bovas Abraham, Joseph F. Heyse, Paulo Teles, B. Abraham and Wai‐Sum Chan and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Econometrics.

In The Last Decade

William W. S. Wei

31 papers receiving 2.2k citations

Hit Papers

Time Series Analysis: Univariate and Multivariate Methods 1991 2026 2002 2014 1991 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Time Series Analysis: Univariate and Multivariate Methods
    1991 914 citations Alice Z. Chuang, William W. S. Wei Technometrics profile →

Peers

William W. S. Wei
Robert B. Miller United States
Tim Bedford United Kingdom
Bovas Abraham Canada
G. J. Janacek United Kingdom
G. E. P. Box United States
Dorota Kurowicka Netherlands
Daniel Peña Spain
Hannah J. White United Kingdom
Jonathan D. Cryer United States
Kjersti Aas Norway
Robert B. Miller United States
William W. S. Wei
Citations per year, relative to William W. S. Wei William W. S. Wei (= 1×) peers Robert B. Miller

Countries citing papers authored by William W. S. Wei

Since Specialization
Citations

This map shows the geographic impact of William W. S. Wei'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 William W. S. Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William W. S. Wei more than expected).

Fields of papers citing papers by William W. S. Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William W. S. Wei. 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 William W. S. Wei. The network helps show where William W. S. Wei may publish in the future.

Co-authorship network of co-authors of William W. S. Wei

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

All Works

20 of 20 papers shown
1.
2.
Wei, William W. S., et al.. (2020). Optimal spatial aggregation of space–time models and applications. Computational Statistics & Data Analysis. 145. 106913–106913. 1 indexed citations
3.
Wei, William W. S., et al.. (2020). Testing for poolability of the space-time autoregressive moving-average model. Communication in Statistics- Theory and Methods. 50(20). 4787–4808. 1 indexed citations
4.
Wei, William W. S., et al.. (2016). The use of temporally aggregated data on detecting a mean change of a time series process. Communication in Statistics- Theory and Methods. 46(12). 5851–5871. 7 indexed citations
5.
Clements, Nicolle, Sanat K. Sarkar, & William W. S. Wei. (2014). Multiplicative Spatio-Temporal Models for Remotely Sensed Normalized Difference Vegetation Index Data. 3(1). 1–14. 1 indexed citations
6.
Wei, William W. S.. (2013). Time Series Analysis. Oxford University Press eBooks. 177 indexed citations
7.
Yozgatlıgil, Ceylan & William W. S. Wei. (2009). Representation of Multiplicative Seasonal Vector Autoregressive Moving Average Models. The American Statistician. 63(4). 328–334. 2 indexed citations
8.
Teles, Paulo, et al.. (2008). Testing a Unit Root Based on Aggregate Time Series. Communication in Statistics- Theory and Methods. 37(4). 565–590. 10 indexed citations
9.
Wei, William W. S.. (2003). The Use of Aggregate Time Series in Testing for Gaussianity. SSRN Electronic Journal. 1 indexed citations
10.
Wei, William W. S., et al.. (1997). Iterative Least Squares Estimation and Identification of the Transfer Function Model. Journal of Time Series Analysis. 18(6). 579–592. 7 indexed citations
11.
Wang, Wenping, Shein‐Chung Chow, & William W. S. Wei. (1995). On likelihood distance for outliers detection. Journal of Biopharmaceutical Statistics. 5(3). 307–322. 2 indexed citations
12.
Chan, Wai‐Sum & William W. S. Wei. (1992). A comparison of some estimators of time series autocorrelations. Computational Statistics & Data Analysis. 14(2). 149–163. 11 indexed citations
13.
Hillmer, Steven C. & William W. S. Wei. (1991). Time Series Analysis: Univariate and Multivariate Methods.. Journal of the American Statistical Association. 86(413). 245–245. 418 indexed citations
14.
Chuang, Alice Z. & William W. S. Wei. (1991). Time Series Analysis: Univariate and Multivariate Methods. Technometrics. 33(1). 108–108. 914 indexed citations breakdown →
15.
Wei, William W. S. & Robert H. Shumway. (1990). Applied Statistical Time Series Analysis.. Journal of the American Statistical Association. 85(409). 258–258. 351 indexed citations
16.
Wei, William W. S. & Daniel O. Stram. (1990). Disaggregation of Time Series Models. Journal of the Royal Statistical Society Series B (Statistical Methodology). 52(3). 453–467. 59 indexed citations
17.
Wei, William W. S., et al.. (1986). Seasonal Adjustment of Time Series Using One-Sided Filters. Journal of Business and Economic Statistics. 4(4). 473–484.
18.
Stram, Daniel O. & William W. S. Wei. (1986). TEMPORAL AGGREGATION IN THE ARIMA PROCESS. Journal of Time Series Analysis. 7(4). 279–292. 74 indexed citations
19.
Wei, William W. S.. (1982). Measurement of Linear Dependence and Feedback Between Multiple Time Series: Comment. Journal of the American Statistical Association. 77(378). 316–316. 10 indexed citations
20.
Wei, William W. S. & Bovas Abraham. (1981). Forecasting contemporal time series aggregates. Communication in Statistics- Theory and Methods. 10(13). 1335–1344. 27 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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