Augustine Wong

1.3k total citations
78 papers, 882 citations indexed

About

Augustine Wong is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Augustine Wong has authored 78 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Statistics and Probability, 23 papers in Statistics, Probability and Uncertainty and 13 papers in Management Science and Operations Research. Recurrent topics in Augustine Wong's work include Statistical Distribution Estimation and Applications (35 papers), Statistical Methods and Bayesian Inference (31 papers) and Advanced Statistical Methods and Models (25 papers). Augustine Wong is often cited by papers focused on Statistical Distribution Estimation and Applications (35 papers), Statistical Methods and Bayesian Inference (31 papers) and Advanced Statistical Methods and Models (25 papers). Augustine Wong collaborates with scholars based in Canada, United States and Hong Kong. Augustine Wong's co-authors include Octavia Wong, Jolynn Pek, D. A. S. Fraser, Jianrong Wu, Jianrong Wu, Nancy Reid, Guoyong Jiang, Lai Jiang, Andrey Feuerverger and Xiang Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of the American Statistical Association.

In The Last Decade

Augustine Wong

74 papers receiving 823 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Augustine Wong Canada 16 458 191 105 84 81 78 882
Javad Behboodian Iran 16 502 1.1× 199 1.0× 248 2.4× 86 1.0× 213 2.6× 63 889
C. H. Sim Malaysia 9 220 0.5× 127 0.7× 84 0.8× 97 1.2× 78 1.0× 19 878
Pelumi E. Oguntunde Nigeria 17 330 0.7× 210 1.1× 128 1.2× 24 0.3× 51 0.6× 80 921
J.J.A. Moors Netherlands 14 692 1.5× 298 1.6× 142 1.4× 87 1.0× 127 1.6× 36 1.0k
Hélio S. Migon Brazil 15 517 1.1× 116 0.6× 291 2.8× 157 1.9× 195 2.4× 62 1.1k
Spencer Graves United States 9 167 0.4× 79 0.4× 109 1.0× 35 0.4× 60 0.7× 24 795
L. I. Pettit United Kingdom 8 241 0.5× 91 0.5× 79 0.8× 18 0.2× 38 0.5× 26 824
Harriet Black Nembhard United States 17 119 0.3× 202 1.1× 35 0.3× 136 1.6× 125 1.5× 71 1.0k
Vicente Núñez‐Antón Spain 12 363 0.8× 107 0.6× 71 0.7× 21 0.3× 92 1.1× 54 1.1k
Yong Zhou China 22 1.1k 2.4× 112 0.6× 258 2.5× 158 1.9× 120 1.5× 165 1.5k

Countries citing papers authored by Augustine Wong

Since Specialization
Citations

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

Fields of papers citing papers by Augustine Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Augustine Wong. 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 Augustine Wong. The network helps show where Augustine Wong may publish in the future.

Co-authorship network of co-authors of Augustine Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Augustine Wong. A scholar is included among the top collaborators of Augustine Wong 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 Augustine Wong. Augustine Wong 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.
Wong, Augustine & Xiaoping Shi. (2024). Inference for the normal coefficient of variation: an approximate marginal likelihood approach. Statistical Papers. 66(1). 1 indexed citations
2.
Wong, Augustine. (2023). Comparing Several Gamma Means: An Improved Log-Likelihood Ratio Test. Entropy. 25(1). 111–111.
3.
Wong, Augustine, et al.. (2018). Extrudate swell ratio characteristics of CaCO3 added linear low density polyethylene. Polymer Testing. 71. 262–271. 6 indexed citations
4.
Wong, Augustine, et al.. (2018). Adjusted Empirical Likelihood Method in the Presence of Nuisance Parameters with Application to the Sharpe Ratio. Entropy. 20(5). 316–316. 2 indexed citations
5.
Smith, John, Augustine Wong, & Xiaofang Zhou. (2014). Higher order inference for stress–strength reliability with independent Burr-type X distributions. Journal of Statistical Computation and Simulation. 85(15). 3092–3107. 7 indexed citations
6.
Jiang, Lai, et al.. (2014). Comparing the Means of Two Log-Normal Distributions: A Likelihood Approach. RePEc: Research Papers in Economics. 3(1). 1–9. 3 indexed citations
7.
Jiang, Lai & Augustine Wong. (2012). On standardizing the signed root log likelihood ratio statistic. Statistics & Probability Letters. 82(4). 833–839.
8.
Wong, Ast, et al.. (2009). Quantification of dynamic mixing performance of single screws of different configurations by visualization and image analysis. Advances in Polymer Technology. 28(1). 1–15. 7 indexed citations
9.
Wu, Jianrong, Augustine Wong, & Wei Wei. (2005). Interval estimation of the mean response in a log‐regression model. Statistics in Medicine. 25(12). 2125–2135. 8 indexed citations
10.
Andrews, David, D. A. S. Fraser, & Augustine Wong. (2004). Computation of distribution functions from likelihood information near observed data. Journal of Statistical Planning and Inference. 134(1). 180–193. 8 indexed citations
11.
Fraser, D. A. S., et al.. (2003). Setting confidence intervals for bounded parameters: a different perspective. arXiv (Cornell University). 1 indexed citations
12.
Wu, Jianrong & Augustine Wong. (2003). A Note on Determining the p -Value of Bartlett's Test of Homogeneity of Variances. Communication in Statistics- Theory and Methods. 32(1). 91–101. 12 indexed citations
13.
Wong, Augustine, Jianrong Wu, & Xiang Sun. (2003). Likelihood based inference for the ratio of gamma means. Journal of Statistical Computation and Simulation. 74(3). 171–181.
14.
Wu, Jianrong, Guoyong Jiang, Augustine Wong, & Xiang Sun. (2002). Likelihood Analysis for the Ratio of Means of Two Independent Log-Normal Distributions. Biometrics. 58(2). 463–469. 41 indexed citations
15.
Wong, Augustine & Jiahua Wu. (2000). Practical Small-Sample Asymptotics for Distributions Used in Life-Data Analysis. Technometrics. 42(2). 149–155. 13 indexed citations
16.
Wong, Augustine & Jiahua Wu. (2000). Practical Small-Sample Asymptotics for Distributions Used in Life-Data Analysis. Technometrics. 42(2). 149–149. 3 indexed citations
17.
Fraser, D. A. S., Augustine Wong, & Jianrong Wu. (1999). Regression Analysis, Nonlinear or Nonnormal: Simple and Accurate p Values From Likelihood Analysis. Journal of the American Statistical Association. 94(448). 1286–1286. 9 indexed citations
18.
Fraser, D. A. S., Jianrong Wu, & Augustine Wong. (1998). An approximation for the noncentral chi-squared distribution. Communications in Statistics - Simulation and Computation. 27(2). 275–287. 9 indexed citations
19.
Wong, Augustine. (1998). Approximate studentization for Pareto distribution with application to censored data. Statistical Papers. 39(2). 189–201. 13 indexed citations
20.
Wong, Augustine. (1992). Converting observed likelihood to levels of significance for transformation models. Communication in Statistics- Theory and Methods. 21(10). 2809–2823. 2 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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