Wen Lea Pearn
- Industrial and Manufacturing Engineering top 2%
- Management Information Systems top 2%
- Statistics, Probability and Uncertainty top 1%
- Management Science and Operations Research top 2%
- Statistics and Probability top 5%
- Co-authors
- Chien‐Wei WuJau‐Chuan KeKuo-Hsiung WangChia‐Huang WuSamuel KotzNorman L. JohnsonKaibin HuangYichun Liu
- Topics
- Advanced Queuing Theory Analysis (14 papers)Advanced Statistical Process Monitoring (9 papers)Probability and Risk Models (8 papers)
- Cited by
- Statistics, Probability and UncertaintyManagement Information SystemsIndustrial and Manufacturing Engineering
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Wen Lea Pearn
33 papers receiving 690 citations
Peers
Comparison fields: 5 of 54
- Industrial and Manufacturing Engineering 278
- Management Information Systems 266
- Statistics, Probability and Uncertainty 259
- Management Science and Operations Research 230
- Statistics and Probability 120
Countries citing papers authored by Wen Lea Pearn
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 21 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | Maximum entropy analysis to the T policy M/G/1 queue with server breakdowns and startup times | 1 |
| 12 | 12 | |
| 13 | 18 | |
| 14 | Measuring production performance of different product mixes in semiconductor fabrication | 2 |
| 15 | 48 | |
| 16 | 37 | |
| 17 | 14 | |
| 18 | 12 | |
| 19 | 59 | |
| 20 | 25 |
About Wen Lea Pearn
Wen Lea Pearn is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Statistics, Probability and Uncertainty, having authored 34 papers that have together received 732 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (14 papers), Advanced Statistical Process Monitoring (9 papers) and Probability and Risk Models (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (259 citations), Management Information Systems (266 citations) and Industrial and Manufacturing Engineering (278 citations). Wen Lea Pearn has collaborated with scholars based in Taiwan, United States and Canada. Frequent 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. Their work appears in journals such as International Journal of Production Economics, Computers & Operations Research and Omega.
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.