P. C. Lin

485 citations
17 papers · 387 · h-index 11

Impact in

Papers in

P. C. Lin

16 papers receiving 359 citations

Peers

P. C. Lin
Comparison fields: 5 of 46
  • Statistics, Probability and Uncertainty 341
  • Statistics and Probability 130
  • Management Science and Operations Research 153
  • Industrial and Manufacturing Engineering 97
  • Medical Laboratory Technology 9
Replace Lora Zimmer with:
Lora Zimmer United States
Zhi Lin Chong Malaysia
V. Kuralmani India
Chau‐Chen Torng Taiwan
Maysa S. De Magalhães Brazil
Ali Hussein AL-Marshadi Saudi Arabia
Shih‐Wen Liu Taiwan
A. W. Wortham United States
Fong‐Jung Yu Taiwan
To‐Cheng Wang Taiwan
P. C. Lin relative to Lora Zimmer United States Lora Zimmer's profile →
Citations per field
00.5×
Lora Zimmer · 1×
Citations per year

Countries citing papers authored by P. C. Lin

Since Specialization
Citations

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

Fields of papers citing papers by P. C. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. C. Lin. 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 P. C. Lin. The network helps show where P. C. Lin may publish in the future.

Co-authors

The 4 scholars most cited alongside P. C. Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. C. Lin Line = papers co-authored together P. C. Lin links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200391
2 200461
3 200239
4 199931
5 200227
6 200223
7 200422
8 200522
9 200419
10 200812
11 200112
12 200410
13 200610
14 20034
15
Assessing process performance based on the incapability index C-pp
20053
16 20061
17 20070

About P. C. Lin

P. C. Lin is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Management Science and Operations Research, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (17 papers), Advanced Statistical Methods and Models (10 papers), Optimal Experimental Design Methods (9 papers), Scientific Measurement and Uncertainty Evaluation (7 papers), Manufacturing Process and Optimization (3 papers), Fault Detection and Control Systems (2 papers), Quality and Safety in Healthcare (1 paper) and Quality and Supply Management (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (341 citations), Statistics and Probability (130 citations), Management Science and Operations Research (153 citations), Industrial and Manufacturing Engineering (97 citations) and Medical Laboratory Technology (9 citations). P. C. Lin has collaborated with scholars based in Taiwan. Frequent co-authors include W. L. Pearn, Kuen‐Suan Chen, Chien‐Wei Wu and Yung-Chia Chang. Their work appears in journals such as Quality and Reliability Engineering International, The International Journal of Advanced Manufacturing Technology, International Journal of Reliability Quality and Safety Engineering, Computers & Industrial Engineering and Microelectronics Reliability.

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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