W. L. Pearn

6.4k total citations · 1 hit paper
211 papers, 5.2k citations indexed

About

W. L. Pearn is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, W. L. Pearn has authored 211 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Statistics, Probability and Uncertainty, 96 papers in Management Science and Operations Research and 59 papers in Industrial and Manufacturing Engineering. Recurrent topics in W. L. Pearn's work include Advanced Statistical Process Monitoring (152 papers), Optimal Experimental Design Methods (77 papers) and Scientific Measurement and Uncertainty Evaluation (71 papers). W. L. Pearn is often cited by papers focused on Advanced Statistical Process Monitoring (152 papers), Optimal Experimental Design Methods (77 papers) and Scientific Measurement and Uncertainty Evaluation (71 papers). W. L. Pearn collaborates with scholars based in Taiwan, United States and Japan. W. L. Pearn's co-authors include Samuel Kotz, Chien‐Wei Wu, Kuen‐Suan Chen, Norman L. Johnson, Amy H.I. Lee, P. C. Lin, Ming‐Hung Shu, Gu-Hong Lin, Chia‐Huang Wu and Kuo-Hsiung Wang and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Energy Conversion and Management.

In The Last Decade

W. L. Pearn

209 papers receiving 5.0k citations

Hit Papers

Distributional and Inferential Properties of Process Capa... 1992 2026 2003 2014 1992 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. L. Pearn Taiwan 37 3.6k 2.0k 1.7k 1.3k 759 211 5.2k
Fu‐Kwun Wang Taiwan 34 1.3k 0.4× 847 0.4× 872 0.5× 958 0.7× 591 0.8× 173 4.0k
Loon Ching Tang Singapore 32 1.2k 0.3× 559 0.3× 596 0.4× 952 0.7× 229 0.3× 114 3.4k
Seyed Meysam Mousavi Iran 40 449 0.1× 3.3k 1.6× 837 0.5× 447 0.3× 469 0.6× 221 5.2k
Ming‐Hung Shu Taiwan 23 1.1k 0.3× 778 0.4× 372 0.2× 482 0.4× 211 0.3× 126 1.9k
Behnam Vahdani Iran 42 267 0.1× 2.1k 1.0× 1.3k 0.8× 372 0.3× 628 0.8× 158 4.6k
Reza Baradaran Kazemzadeh Iran 20 681 0.2× 912 0.5× 257 0.2× 362 0.3× 172 0.2× 67 2.2k
J. Bert Keats United States 21 1.3k 0.4× 339 0.2× 214 0.1× 814 0.6× 218 0.3× 49 2.2k
Marcello Braglia Italy 33 608 0.2× 1.4k 0.7× 1.0k 0.6× 76 0.1× 1.5k 1.9× 132 4.3k
Aris Syntetos United Kingdom 35 758 0.2× 2.5k 1.2× 383 0.2× 145 0.1× 1.9k 2.5× 109 4.0k
Masatoshi Sakawa Japan 40 205 0.1× 2.8k 1.4× 820 0.5× 1.6k 1.2× 333 0.4× 276 5.4k

Countries citing papers authored by W. L. Pearn

Since Specialization
Citations

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

Fields of papers citing papers by W. L. Pearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. L. Pearn. 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 W. L. Pearn. The network helps show where W. L. Pearn may publish in the future.

Co-authorship network of co-authors of W. L. Pearn

This figure shows the co-authorship network connecting the top 25 collaborators of W. L. Pearn. A scholar is included among the top collaborators of W. L. Pearn 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 W. L. Pearn. W. L. Pearn 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.
Pearn, W. L., et al.. (2016). A Bayesian approach for group supplier selections based on the popular process-capability-index C pk . Quality Technology & Quantitative Management. 13(2). 109–123. 12 indexed citations
2.
Pearn, W. L., et al.. (2016). An effective powerful test for one-sided supplier selection problem with multiple independent characteristics. Quality Technology & Quantitative Management. 13(2). 182–196. 8 indexed citations
3.
Pearn, W. L., et al.. (2015). Assessing the actual Gamma process quality – a curve-fitting approach for modifying the non-normal flexible index. International Journal of Production Research. 53(15). 4720–4734. 8 indexed citations
4.
Pearn, W. L., et al.. (2012). A Note on “Capability Assessment for Processes with Multiple Characteristics: A Generalization of the Popular Index Cpk. Quality and Reliability Engineering International. 29(2). 159–163. 21 indexed citations
5.
Shiau, Jyh‐Jen Horng, et al.. (2012). Yield‐Related Process Capability Indices for Processes of Multiple Quality Characteristics. Quality and Reliability Engineering International. 29(4). 487–507. 18 indexed citations
6.
Pearn, W. L., et al.. (2009). Procedure of the convolution method for estimating production yield with sample size information. International Journal of Production Research. 48(5). 1245–1265. 7 indexed citations
7.
Wu, Chien‐Wei, et al.. (2008). Bootstrap approach for supplier selection based on production yield. International Journal of Production Research. 46(18). 5211–5230. 26 indexed citations
8.
Wu, Chien‐Wei, et al.. (2007). Accuracy Analysis of the Percentile Method for Estimating Non Normal Manufacturing Quality. Communications in Statistics - Simulation and Computation. 36(3). 657–697. 14 indexed citations
9.
Chang, Yung-Chia, W. L. Pearn, & Chien‐Wei Wu. (2007). On the Sampling Distributions of the Estimated Process Loss Indices with Asymmetric Tolerances. Communications in Statistics - Simulation and Computation. 36(6). 1153–1170. 2 indexed citations
10.
Pearn, W. L., et al.. (2006). Tool replacement for production with a low fraction of defectives. International Journal of Production Research. 44(12). 2313–2326. 9 indexed citations
11.
Pearn, W. L. & Chien‐Wei Wu. (2006). Variables sampling plans with PPM fraction of defectives and process loss consideration. Journal of the Operational Research Society. 57(4). 450–459. 70 indexed citations
12.
Pearn, W. L. & Samuel Kotz. (2006). Encyclopedia and Handbook of Process Capability Indices. 101 indexed citations
13.
Pearn, W. L. & Samuel Kotz. (2006). Encyclopedia And Handbook of Process Capability Indices: A Comprehensive Exposition of Quality Control Measures (Series on Quality, Reliability and Engineering Statistics). 24 indexed citations
14.
Pearn, W. L. & Chien‐Wei Wu. (2005). AN EFFECTIVE MODERN APPROACH FOR MEASURING HIGH-TECH PRODUCT MANUFACTURING PROCESS QUALITY. Journal of the Chinese Institute of Industrial Engineers. 22(2). 119–133. 5 indexed citations
15.
Pearn, W. L., et al.. (2005). The integrated circuit packaging scheduling problem (ICPSP): A case study. International journal of industrial engineering. 12(3). 296–307. 4 indexed citations
16.
Wu, Chien‐Wei & W. L. Pearn. (2004). Capability Testing Based on Cpm with Multiple Samples. Quality and Reliability Engineering International. 21(1). 29–42. 30 indexed citations
17.
Pearn, W. L., Yung-Chia Chang, & Chien‐Wei Wu. (2004). Quality-yield measure for production processes with very low fraction defective. International Journal of Production Research. 42(23). 4909–4925. 12 indexed citations
18.
Pearn, W. L., Chien‐Wei Wu, & Hui-Chi Lin. (2004). Procedure for supplier selection based on C pm applied to super twisted nematic liquid crystal display processes. International Journal of Production Research. 42(13). 2719–2734. 39 indexed citations
19.
Pearn, W. L., et al.. (2002). On the distribution of the estimated process yield index Spk. Quality and Reliability Engineering International. 18(2). 111–116. 77 indexed citations
20.
Pearn, W. L. & Samuel Kotz. (1994). APPLICATION OF CLEMENTS' METHOD FOR CALCULATING SECOND- AND THIRD-GENERATION PROCESS CAPABILITY INDICES FOR NON-NORMAL PEARSONIAN POPULATIONS. Quality Engineering. 7(1). 139–145. 73 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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