Hubert J. Chen

445 total citations
46 papers, 331 citations indexed

About

Hubert J. Chen is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Hubert J. Chen has authored 46 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 20 papers in Management Science and Operations Research and 14 papers in Statistics, Probability and Uncertainty. Recurrent topics in Hubert J. Chen's work include Statistical Methods in Clinical Trials (23 papers), Optimal Experimental Design Methods (18 papers) and Statistical Methods and Bayesian Inference (13 papers). Hubert J. Chen is often cited by papers focused on Statistical Methods in Clinical Trials (23 papers), Optimal Experimental Design Methods (18 papers) and Statistical Methods and Bayesian Inference (13 papers). Hubert J. Chen collaborates with scholars based in United States, Taiwan and China. Hubert J. Chen's co-authors include Yu‐Hern Chang, Edward J. Dudewicz, Kin Che Lam, Miin-Jye Wen, Wei‐Ming Luh, Shu-Fei Wu, Charles Kent Smith, James W. Griffith, William E. Timberlake and Jonathan Arnold and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Genetics.

In The Last Decade

Hubert J. Chen

45 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hubert J. Chen United States	10	199	138	123	22	19	46	331
Richard B. Howe United States	10	122 0.6×	58 0.4×	66 0.5×	19 0.9×	6 0.3×	17	327
Larry M. Pearson United States	7	188 0.9×	41 0.3×	40 0.3×	40 1.8×	2 0.1×	14	288
Chen‐Tuo Liao Taiwan	11	179 0.9×	141 1.0×	92 0.7×	33 1.5×		54	387
Wing–Kam Fung Hong Kong	13	358 1.8×	50 0.4×	104 0.8×	47 2.1×		28	482
Luisa Turrin Fernholz United States	10	230 1.2×	45 0.3×	64 0.5×	57 2.6×	1 0.1×	18	312
M. W. J. Layard United States	8	187 0.9×	58 0.4×	33 0.3×	21 1.0×		10	285
Nirian Martín Spain	11	335 1.7×	62 0.4×	90 0.7×	34 1.5×		56	410
Vera Tomazella Brazil	12	335 1.7×	53 0.4×	108 0.9×	62 2.8×	1 0.1×	59	416
Fulvio De Santis Italy	11	282 1.4×	134 1.0×	71 0.6×	38 1.7×		36	330
H. I. Patel United States	9	212 1.1×	86 0.6×	93 0.8×	12 0.5×		19	268

Countries citing papers authored by Hubert J. Chen

Since Specialization

Citations

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

Fields of papers citing papers by Hubert J. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hubert J. Chen. 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 Hubert J. Chen. The network helps show where Hubert J. Chen may publish in the future.

Co-authorship network of co-authors of Hubert J. Chen

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

All Works

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20 of 20 papers shown

Chen, Hubert J., et al.. (2019). Optimal Sample Sizes for Testing the Equivalence of Two Means. Methodology. 15(3). 128–136. 2 indexed citations

Chang, Yu‐Hern, et al.. (2012). Analysis of an aircraft accident model in Taiwan. Journal of Air Transport Management. 27. 34–38. 9 indexed citations

Chen, Hubert J., et al.. (2010). Sample size planning with the cost constraint for testing superiority and equivalence of two independent groups. British Journal of Mathematical and Statistical Psychology. 64(3). 439–461. 15 indexed citations

Chen, Hubert J., et al.. (2009). On testing the bioequivalence of several treatments using the measure of distance. Statistics. 43(5). 513–530. 3 indexed citations

Chen, Hubert J., et al.. (2004). A One-Stage Procedure for Testing Homogeneity of Means Against an Ordered Alternative Under Unequal Variances. Communications in Statistics - Simulation and Computation. 33(1). 49–67. 1 indexed citations

Chen, Hubert J., et al.. (2000). A Range Test for the Equality of Means when Variances are Unequal. American Journal of Mathematical and Management Sciences. 20(1-2). 145–170. 3 indexed citations

Chen, Hubert J., et al.. (2000). An ANOVA test for the equivalency of means under unequal variances. Computational Statistics & Data Analysis. 33(2). 151–175. 4 indexed citations

Wu, Shu-Fei & Hubert J. Chen. (2000). Two-stage multiple comparisons with the average for normal distributions under heteroscedasticity. Computational Statistics & Data Analysis. 33(2). 201–213. 3 indexed citations

Wu, Shu-Fei & Hubert J. Chen. (1999). Multiple comparison procedures with the average for scale families: normal and exponential populations. Communications in Statistics - Simulation and Computation. 28(1). 73–98. 1 indexed citations

10.

Wu, Shu-Fei & Hubert J. Chen. (1999). Multiple comparison procedures with the average for scale families: normal and exponential populations. Communications in Algebra. 28(1). 73–98. 1 indexed citations

11.

Chen, Hubert J., et al.. (1999). Range Test for the Equivalency of Means Under Unequal Variances. Technometrics. 41(3). 250–260. 2 indexed citations

12.

Chen, Hubert J. & Kin Che Lam. (1991). Percentage points of a studentized range statistic arising from non-identical normal random variables. Communications in Statistics - Simulation and Computation. 20(4). 995–1047. 4 indexed citations

13.

Chen, Hubert J. & Kin Che Lam. (1989). Single-stage interval estimation of the largest normal mean under heteroscedasnoty. Communication in Statistics- Theory and Methods. 18(10). 3703–3718. 20 indexed citations

14.

Chen, Hubert J., et al.. (1986). Selection of the Best Exponential Distribution with a Preliminary Test. American Journal of Mathematical and Management Sciences. 6(1-2). 219–249. 2 indexed citations

15.

Chen, Hubert J.. (1984). Sample size determinations when two binomial proportions are very small. Communication in Statistics- Theory and Methods. 13(21). 2707–2712. 3 indexed citations

16.

Kiser, T. E., et al.. (1980). Serum progesterone concentrations in pregnant and nonpregnant heifers and after gonadotropin releasing hormone in luteal phase heifers. Theriogenology. 13(6). 407–417. 13 indexed citations

17.

Chen, Hubert J., et al.. (1978). Confidence intervals for the largest mean from k correlated normal populations. Communications in Statistics - Simulation and Computation. 7(3). 205–222. 1 indexed citations

18.

Chen, Hubert J.. (1977). Estimation of the best alternative. Winter Simulation Conference. 72–79. 3 indexed citations

19.

Chen, Hubert J.. (1977). A class of fixed-width confidence intervals for a ranked normal mean. Communications in Statistics - Simulation and Computation. 6(2). 137–156. 7 indexed citations

20.

Chen, Hubert J. & Edward J. Dudewicz. (1976). Procedures for Fixed-Width Interval Estimation of the Largest Normal Mean. Journal of the American Statistical Association. 71(355). 752–752. 5 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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