Wen Lea Pearn

956 total citations
34 papers, 732 citations indexed

About

Wen Lea Pearn is a scholar working on Management Information Systems, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Wen Lea Pearn has authored 34 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Information Systems, 14 papers in Management Science and Operations Research and 13 papers in Industrial and Manufacturing Engineering. Recurrent topics in Wen Lea Pearn's work include Advanced Queuing Theory Analysis (14 papers), Advanced Statistical Process Monitoring (9 papers) and Probability and Risk Models (8 papers). Wen Lea Pearn is often cited by papers focused on Advanced Queuing Theory Analysis (14 papers), Advanced Statistical Process Monitoring (9 papers) and Probability and Risk Models (8 papers). Wen Lea Pearn collaborates with scholars based in Taiwan, United States and Canada. Wen Lea Pearn's co-authors include Chien‐Wei Wu, Jau‐Chuan Ke, Kuo-Hsiung Wang, Chia‐Huang Wu, Samuel Kotz, Norman L. Johnson, Kaibin Huang, Yichun Liu, Dong‐Yuh Yang and Lap‐Ming Wun and has published in prestigious journals such as International Journal of Production Economics, Computers & Operations Research and Omega.

In The Last Decade

Wen Lea Pearn

33 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Lea Pearn Taiwan 16 278 266 259 230 120 34 732
Chia‐Huang Wu Taiwan 16 232 0.8× 561 2.1× 219 0.8× 195 0.8× 87 0.7× 75 900
Yizhong Ma China 19 225 0.8× 109 0.4× 435 1.7× 357 1.6× 99 0.8× 87 1.1k
Cheng‐Fu Huang Taiwan 18 121 0.4× 82 0.3× 260 1.0× 71 0.3× 36 0.3× 74 699
Seyed Habib A. Rahmati Iran 14 503 1.8× 138 0.5× 105 0.4× 73 0.3× 26 0.2× 21 975
Seyed Mohsen Mousavi Iran 14 220 0.8× 288 1.1× 62 0.2× 125 0.5× 44 0.4× 19 734
P. M. Ghare United States 9 289 1.0× 562 2.1× 115 0.4× 93 0.4× 36 0.3× 17 991
Chin‐Chia Jane Taiwan 11 204 0.7× 117 0.4× 343 1.3× 40 0.2× 39 0.3× 14 902
Mani Sharifi Iran 21 336 1.2× 103 0.4× 293 1.1× 44 0.2× 85 0.7× 72 1.0k
Royce O. Bowden United States 12 342 1.2× 118 0.4× 102 0.4× 144 0.6× 18 0.1× 20 691
Laxminarayan Sahoo India 13 48 0.2× 74 0.3× 109 0.4× 181 0.8× 100 0.8× 36 557

Countries citing papers authored by Wen Lea Pearn

Since Specialization
Citations

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

Fields of papers citing papers by Wen Lea Pearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Lea Pearn

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Lea Pearn. A scholar is included among the top collaborators of Wen Lea 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 Wen Lea Pearn. Wen Lea 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.
Ke, Jau‐Chuan, Chia‐Huang Wu, & Wen Lea Pearn. (2017). Dynamic operating policy for the controllable queue with two removable unreliable servers. 2(3). 81–96. 2 indexed citations
2.
Pearn, Wen Lea, et al.. (2014). Estimating process capability indexCpk: classical approach versus Bayesian approach. Journal of Statistical Computation and Simulation. 85(10). 2007–2021. 21 indexed citations
3.
Pearn, Wen Lea, et al.. (2013). Analytic Solution to Product Acceptance Determination for Gold Bumping Process With Multiple Manufacturing Lines. IEEE Transactions on Components Packaging and Manufacturing Technology. 3(11). 1980–1986. 11 indexed citations
4.
Ke, Jau‐Chuan, Chia‐Huang Wu, & Wen Lea Pearn. (2011). A heuristic algorithm for the optimization of a retrial system with Bernoulli vacation. Optimization. 62(3). 299–321. 3 indexed citations
5.
Ke, Jau‐Chuan, Chia‐Huang Wu, & Wen Lea Pearn. (2011). Notes on the Computation of Laplace-Stieljes Transform for Lognormal and Weibull. Mathematical and Computational Applications. 16(3). 641–648. 1 indexed citations
6.
Ke, Jau‐Chuan, Chia‐Huang Wu, & Wen Lea Pearn. (2010). Algorithmic analysis of the multi-server system with a modified Bernoulli vacation schedule. Applied Mathematical Modelling. 35(5). 2196–2208. 9 indexed citations
7.
Ke, Jau‐Chuan, Kaibin Huang, & Wen Lea Pearn. (2010). Randomized policy of a poisson input queue with J vacations. Journal of Systems Science and Systems Engineering. 19(1). 50–71. 15 indexed citations
8.
Ke, Jau‐Chuan, Chia‐Huang Wu, & Wen Lea Pearn. (2010). Multi-server retrial queue with second optional service: algorithmic computation and optimisation. International Journal of Systems Science. 42(10). 1755–1769. 12 indexed citations
9.
Wang, Kuo-Hsiung, et al.. (2009). Maximum entropy analysis to the T policy M/G/1 queue with server breakdowns and startup times. 20(3). 395–414. 1 indexed citations
10.
Ke, Jau‐Chuan, Kaibin Huang, & Wen Lea Pearn. (2009). The randomized vacation policy for a batch arrival queue. Applied Mathematical Modelling. 34(6). 1524–1538. 12 indexed citations
11.
Wang, Kuo-Hsiung, et al.. (2008). Optimization of the T policy M/G/1 queue with server breakdowns and general startup times. Journal of Computational and Applied Mathematics. 228(1). 270–278. 18 indexed citations
12.
Chung, Shu‐Hsing, Wen Lea Pearn, & Amy H.I. Lee. (2006). Measuring production performance of different product mixes in semiconductor fabrication. International journal of industrial engineering. 13(1). 5–17. 2 indexed citations
13.
Wang, Kuo-Hsiung, et al.. (2006). Optimal control of the N policy M/G/1 queueing system with server breakdowns and general startup times. Applied Mathematical Modelling. 31(10). 2199–2212. 48 indexed citations
14.
Wang, Kuo-Hsiung, Yichun Liu, & Wen Lea Pearn. (2005). Cost benefit analysis of series systems with warm standby components and general repair time. Mathematical Methods of Operations Research. 61(2). 329–343. 37 indexed citations
15.
Pearn, Wen Lea, et al.. (1994). Algorithms for the Windy Postman Problem. Computers & Operations Research. 21(6). 641–651. 14 indexed citations
16.
Kotz, Samuel, Wen Lea Pearn, & Norman L. Johnson. (1993). Some Process Capability Indices are More Reliable than One Might Think. Journal of the Royal Statistical Society Series C (Applied Statistics). 42(1). 55–55. 74 indexed citations
17.
Wun, Lap‐Ming & Wen Lea Pearn. (1991). Assessing the statistical characteristics of the mean absolute error or forecasting. International Journal of Forecasting. 7(3). 335–337. 12 indexed citations
18.
Pearn, Wen Lea. (1991). Augment-insert algorithms for the capacitated arc routing problem. Computers & Operations Research. 18(2). 189–198. 54 indexed citations
19.
Pearn, Wen Lea. (1989). Approximate solutions for the capacitated arc routing problem. Computers & Operations Research. 16(6). 589–600. 59 indexed citations
20.
Pearn, Wen Lea. (1988). New lower bounds for the Capacitated Arc Routing Problem. Networks. 18(3). 181–191. 25 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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