Pinyuen Chen

88 total papers · 463 total citations
47 papers, 299 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 47 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 19 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 (15 papers), Statistical Methods in Clinical Trials (14 papers) and Advanced Statistical Methods and Models (12 papers). Pinyuen Chen is often cited by papers focused on Optimal Experimental Design Methods (15 papers), Statistical Methods in Clinical Trials (14 papers) and Advanced Statistical Methods and Models (12 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, Makoto Aoshima, Robert E. Bechhofer 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

42 papers receiving 291 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pinyuen Chen	114	95	84	72	71	47	299
Nadia Oudjane	52 0.5×	23 0.2×	30 0.4×	22 0.3×	12 0.2×	30	362
Wenjie Wang	17 0.1×	17 0.2×	88 1.0×	53 0.7×	25 0.4×	42	310
Fernando López-Blázquez	171 1.5×	23 0.2×	89 1.1×	45 0.6×	8 0.1×	45	299
Jim Q. Smith	54 0.5×	5 0.1×	63 0.8×	33 0.5×	43 0.6×	36	261
T. Krishnan	62 0.5×	8 0.1×	16 0.2×	10 0.1×	35 0.5×	27	299
N. G. Ushakov	156 1.4×	5 0.1×	36 0.4×	24 0.3×	16 0.2×	39	297
Gaofeng Da	155 1.4×	6 0.1×	52 0.6×	105 1.5×	9 0.1×	24	279
Michael Soltys	44 0.4×	6 0.1×	112 1.3×	14 0.2×	32 0.5×	31	334
Ryszard Zieliński	139 1.2×	64 0.7×	22 0.3×	39 0.5×	2 0.0×	59	356
Florian Simatos	34 0.3×	24 0.3×	35 0.4×	34 0.5×	4 0.1×	39	256

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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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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