P. C. Lin

513 total citations
21 papers, 398 citations indexed

About

P. C. Lin is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, P. C. Lin has authored 21 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics, Probability and Uncertainty, 10 papers in Management Science and Operations Research and 10 papers in Statistics and Probability. Recurrent topics in P. C. Lin's work include Advanced Statistical Process Monitoring (17 papers), Advanced Statistical Methods and Models (10 papers) and Optimal Experimental Design Methods (9 papers). P. C. Lin is often cited by papers focused on Advanced Statistical Process Monitoring (17 papers), Advanced Statistical Methods and Models (10 papers) and Optimal Experimental Design Methods (9 papers). P. C. Lin collaborates with scholars based in Taiwan, China and Netherlands. P. C. Lin's co-authors include W. L. Pearn, Kuen‐Suan Chen, Chien‐Wei Wu, Yung-Chia Chang, Wenhua Wang, Lei Chen, X XU, Rong Jia, Yongming Lu and Yu‐Cheng Chang and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Computers & Industrial Engineering and International Review of Financial Analysis.

In The Last Decade

P. C. Lin

20 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. C. Lin Taiwan	12	338	155	129	96	48	21	398
Lora Zimmer United States	10	522 1.5×	193 1.2×	231 1.8×	89 0.9×	103 2.1×	14	618
Zhi Lin Chong Malaysia	14	455 1.3×	113 0.7×	198 1.5×	42 0.4×	149 3.1×	67	495
Kerstin Vännman Sweden	16	713 2.1×	316 2.0×	375 2.9×	152 1.6×	101 2.1×	45	802
Fong‐Jung Yu Taiwan	11	286 0.8×	59 0.4×	137 1.1×	49 0.5×	69 1.4×	35	336
V. Kuralmani India	7	301 0.9×	68 0.4×	141 1.1×	44 0.5×	50 1.0×	13	314
Chau‐Chen Torng Taiwan	12	281 0.8×	78 0.5×	126 1.0×	34 0.4×	55 1.1×	23	358
Chun-Min Yu Taiwan	11	165 0.5×	63 0.4×	48 0.4×	132 1.4×	17 0.4×	42	323
Cai Wen Zhang China	12	235 0.7×	65 0.4×	111 0.9×	68 0.7×	77 1.6×	16	452
Shih‐Wen Liu Taiwan	12	421 1.2×	212 1.4×	109 0.8×	237 2.5×	37 0.8×	21	431
Mats Deleryd Sweden	8	151 0.4×	79 0.5×	55 0.4×	73 0.8×	18 0.4×	17	323

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-authorship network of co-authors of P. C. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of P. C. Lin. A scholar is included among the top collaborators of P. C. Lin 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 P. C. Lin. P. C. Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lin, P. C., et al.. (2025). Making better analysts’ forecast – an investigation of artificial intelligence applications in corporations. Applied Economics Letters. 1–7. 1 indexed citations

XU, X, P. C. Lin, Yongming Lu, & Rong Jia. (2025). Degradation and detoxification of aflatoxin B1 by two peroxidase enzymes from Irpex lacteus F17. Bioprocess and Biosystems Engineering. 48(4). 693–704. 1 indexed citations

Lin, P. C., et al.. (2024). Intelligent manufacturing and corporate green transformation. International Review of Financial Analysis. 97. 103796–103796. 12 indexed citations

Lin, P. C., et al.. (2008). Assessing non‐normally distributed processes by interval estimation of the incapability index C_pp. Quality and Reliability Engineering International. 25(4). 427–437. 12 indexed citations

Lin, P. C., et al.. (2007). A practical implementation of the process capability index. Journal of Statistics and Management Systems. 10(2). 211–225.

Lin, P. C., et al.. (2006). Evaluating the performance of the official document. Journal of Statistics and Management Systems. 9(1). 151–163. 1 indexed citations

Pearn, W. L., P. C. Lin, Yung-Chia Chang, & Chien‐Wei Wu. (2006). Quality yield measure for processes with asymmetric tolerances. IIE Transactions. 38(8). 619–633. 10 indexed citations

Lin, P. C. & W. L. Pearn. (2005). Assessing process performance based on the incapability index C-pp. International journal of industrial engineering. 12(2). 145–158. 3 indexed citations

Lin, P. C. & W. L. Pearn. (2005). Testing manufacturing performance based on capability index Cpm. The International Journal of Advanced Manufacturing Technology. 27(3-4). 351–358. 22 indexed citations

10.

Pearn, W. L. & P. C. Lin. (2004). Measuring process yield based on the capability index Cpm. The International Journal of Advanced Manufacturing Technology. 24(7-8). 503–508. 10 indexed citations

11.

Lin, P. C.. (2004). Application of the generalized folded-normal distribution to the process capability measures. The International Journal of Advanced Manufacturing Technology. 26(7-8). 825–830. 18 indexed citations

12.

Pearn, W. L., et al.. (2004). The C?pk index for asymmetric tolerances: Implications and inference. Metrika. 60(2). 119–136. 22 indexed citations

13.

Pearn, W. L. & P. C. Lin. (2004). Testing process performance based on capability index Cpk with critical values. Computers & Industrial Engineering. 47(4). 351–369. 60 indexed citations

14.

Chen, Kuen‐Suan, W. L. Pearn, & P. C. Lin. (2003). Capability measures for processes with multiple characteristics. Quality and Reliability Engineering International. 19(2). 101–110. 91 indexed citations

15.

Lin, P. C., W. L. Pearn, & Kuen‐Suan Chen. (2003). Distributional Properties and Implications of the Estimated Process Incapability Index Ĉⁿ_pp. American Journal of Mathematical and Management Sciences. 23(1-2). 75–92. 4 indexed citations

16.

Pearn, W. L., P. C. Lin, & Kuen‐Suan Chen. (2002). Estimating process capability index C ′′ pmk for asymmetric tolerances: Distributional properties. Metrika. 54(3). 261–279. 22 indexed citations

17.

Lin, P. C. & W. L. Pearn. (2002). Testing process capability for one-sided specification limit with application to the voltage level translator. Microelectronics Reliability. 42(12). 1975–1983. 27 indexed citations

18.

Pearn, W. L. & P. C. Lin. (2002). Computer program for calculating the p‐value in testing process capability index C_pmk. Quality and Reliability Engineering International. 18(4). 333–342. 38 indexed citations

19.

Pearn, W. L., et al.. (2001). TESTING PROCESS CAPABILITY USING THE INDEX C_pmk WITH AN APPLICATION. International Journal of Reliability Quality and Safety Engineering. 8(1). 15–34. 12 indexed citations

20.

Chen, Kuen‐Suan, W. L. Pearn, & P. C. Lin. (1999). A NEW GENERALIZATION OF C_pm FOR PROCESSES WITH ASYMMETRIC TOLERANCES. International Journal of Reliability Quality and Safety Engineering. 6(4). 383–398. 31 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.

Explore authors with similar magnitude of impact