Pinyuen Chen

467 total citations
48 papers, 301 citations indexed

About

Pinyuen Chen is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Pinyuen Chen has authored 48 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 20 papers in Management Science and Operations Research and 12 papers in Artificial Intelligence. Recurrent topics in Pinyuen Chen's work include Optimal Experimental Design Methods (16 papers), Statistical Methods in Clinical Trials (15 papers) and Advanced Statistical Methods and Models (13 papers). Pinyuen Chen is often cited by papers focused on Optimal Experimental Design Methods (16 papers), Statistical Methods in Clinical Trials (15 papers) and Advanced Statistical Methods and Models (13 papers). Pinyuen Chen collaborates with scholars based in United States, Taiwan and Japan. Pinyuen Chen's co-authors include Michael C. Wicks, William L. Melvin, Nitis Mukhopadhyay, S. Panchapakesan, Lingling Wu, Tiee‐Jian Wu, Yanjun Yan, Robert E. Bechhofer, Makoto Aoshima and Milton Sobel and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Signal Processing and Signal Processing.

In The Last Decade

Pinyuen Chen

43 papers receiving 293 citations

Peers

Pinyuen Chen

MSOR

SPU

Jayaram Sethuraman United States

Jim Q. Smith United Kingdom

Gaofeng Da China

Srikanth K. Iyer India

Florian Simatos France

William G. Bulgren United States

C. C. Y. Dorea Brazil

Khursheed Alam United States

P. Jodrá Spain

Y. S. Sathe India

Jayaram Sethuraman United States

Pinyuen Chen

249 ×2.1

8 ×0.1

87 ×1.0

MSOR

66 ×0.9

SPU

9 ×0.1

Citations per year, relative to Pinyuen Chen Pinyuen Chen (= 1×) peers Jayaram Sethuraman

Countries citing papers authored by Pinyuen Chen

Since Specialization

Citations

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

Fields of papers citing papers by Pinyuen Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinyuen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Pinyuen Chen. A scholar is included among the top collaborators of Pinyuen 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 Pinyuen Chen. Pinyuen 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, Pinyuen, et al.. (2021). A Curtailed Procedure for Selecting Among Treatments With Two Bernoulli Endpoints. Sankhya B. 84(1). 320–339. 2 indexed citations

Chen, Pinyuen, et al.. (2017). A Two-Stage Design for Comparative Clinical Trials: the Heteroscedastic Solution. Sankhya B. 80(1). 151–177. 1 indexed citations

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

Chen, Pinyuen, et al.. (2009). A Hybrid Selection and Testing Procedure with Curtailment for Comparative Clinical Trials. Sequential Analysis. 28(1). 2–20. 4 indexed citations

Wu, Lingling, et al.. (2008). Motivation for using search engines: A two‐factor model. Journal of the American Society for Information Science and Technology. 59(11). 1829–1840. 18 indexed citations

Chen, Pinyuen, et al.. (2005). On Selecting Among Treatments with Binomial Outcomes. Communication in Statistics- Theory and Methods. 34(6). 1247–1264. 7 indexed citations

Chen, Pinyuen. (2004). A confidence interval for the number of principal components. Journal of Statistical Planning and Inference. 136(8). 2630–2639. 1 indexed citations

Aoshima, Makoto, Pinyuen Chen, & S. Panchapakesan. (2003). Sequential Procedures for Selecting the Most Probable Multinomial Cell When a Nuisance Cell Is Present. Communication in Statistics- Theory and Methods. 32(4). 893–906. 4 indexed citations

Rollin, Linda M. & Pinyuen Chen. (2003). A Two-Stage Selection and Testing Design for Comparing Several Normal Means with a Standard: The Case of Common, Known Variance. Sequential Analysis. 22(4). 287–305.

10.

Chen, Pinyuen & Michael C. Wicks. (2003). Development of a lower confidence limit for the number of signals. IEEE Transactions on Signal Processing. 51(6). 1449–1456. 4 indexed citations

11.

Chen, Pinyuen, et al.. (2002). An integrated selection formulation for the best normal mean: theunequal and unknown variance case. Journal of Applied Mathematics and Decision Sciences. 6(1). 23–42. 1 indexed citations

12.

Chen, Pinyuen & Michael C. Wicks. (2002). A procedure for detecting the number of signal components in a radar measurement. 4. 451–456. 6 indexed citations

13.

Aoshima, Makoto & Pinyuen Chen. (1999). A two-stage procedure for selecting the largest multinomial cell probability when nuisance cell is present. Sequential Analysis. 18(2). 143–155. 2 indexed citations

14.

Chen, Pinyuen, William L. Melvin, & Michael C. Wicks. (1999). Screening among Multivariate Normal Data. Journal of Multivariate Analysis. 69(1). 10–29. 88 indexed citations

15.

Chen, Pinyuen, et al.. (1998). Advances in Statistical Decision Theory and Applications. Journal of the American Statistical Association. 93(443). 1239–1239. 12 indexed citations

16.

Chen, Pinyuen, S. Panchapakesan, & Milton Sobel. (1994). Selecting among the multinomial losers. Sequential Analysis. 13(3). 117–200. 2 indexed citations

17.

Chen, Pinyuen, et al.. (1992). A Two‐stage Design for Comparing Clinical Trials. Biometrical Journal. 34(1). 29–35. 2 indexed citations

18.

Chen, Pinyuen. (1988). Closed inverse sampling procedure for selecting the largest multinomial cell probability. Communications in Statistics - Simulation and Computation. 17(3). 969–994. 5 indexed citations

19.

Chen, Pinyuen. (1986). On the least favorable configuration in mult1hgmial selection problems. Communication in Statistics- Theory and Methods. 15(2). 367–385. 8 indexed citations

20.

Chen, Pinyuen. (1985). Subset selection for the least probable multinomial cell. Annals of the Institute of Statistical Mathematics. 37(2). 303–314. 3 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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