Chao‐Yu Chou

1.0k total citations
82 papers, 850 citations indexed

About

Chao‐Yu Chou is a scholar working on Statistics, Probability and Uncertainty, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Chao‐Yu Chou has authored 82 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Statistics, Probability and Uncertainty, 27 papers in Management Information Systems and 26 papers in Management Science and Operations Research. Recurrent topics in Chao‐Yu Chou's work include Advanced Statistical Process Monitoring (72 papers), Optimal Experimental Design Methods (23 papers) and Supply Chain and Inventory Management (21 papers). Chao‐Yu Chou is often cited by papers focused on Advanced Statistical Process Monitoring (72 papers), Optimal Experimental Design Methods (23 papers) and Supply Chain and Inventory Management (21 papers). Chao‐Yu Chou collaborates with scholars based in Taiwan, Malaysia and China. Chao‐Yu Chou's co-authors include Chung‐Ho Chen, Yu‐Chang Lin, Huirong Liu, Jui-Chang Cheng, Chun-Lang Chang, Huirong Liu, Shuling Wang, Chau‐Chen Torng, Pei-Hsi Lee and Michael B. C. Khoo and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Chao‐Yu Chou

81 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao‐Yu Chou Taiwan 17 690 324 216 142 137 82 850
Jen Tang United States 15 401 0.6× 348 1.1× 106 0.5× 119 0.8× 97 0.7× 33 772
Chia‐Huang Wu Taiwan 16 219 0.3× 87 0.3× 195 0.9× 232 1.6× 561 4.1× 75 900
Kerstin Vännman Sweden 16 713 1.0× 375 1.2× 316 1.5× 152 1.1× 55 0.4× 45 802
Smiley W. Cheng Canada 17 1.7k 2.5× 946 2.9× 418 1.9× 253 1.8× 110 0.8× 41 1.9k
Antônio Fernando Branco Costa Brazil 30 2.5k 3.6× 1.2k 3.7× 398 1.8× 219 1.5× 184 1.3× 114 2.6k
Yan‐Kwang Chen Taiwan 13 325 0.5× 151 0.5× 176 0.8× 107 0.8× 82 0.6× 43 611
Hamid Reza Golmakani Iran 11 79 0.1× 86 0.3× 251 1.2× 62 0.4× 27 0.2× 23 562
Yeh Lam Hong Kong 20 348 0.5× 621 1.9× 104 0.5× 40 0.3× 136 1.0× 38 964
Lie‐Fern Hsu United States 16 139 0.2× 56 0.2× 104 0.5× 214 1.5× 453 3.3× 30 651
Naoto Kaio Japan 17 145 0.2× 238 0.7× 43 0.2× 87 0.6× 208 1.5× 95 801

Countries citing papers authored by Chao‐Yu Chou

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Yu Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Yu Chou. 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 Chao‐Yu Chou. The network helps show where Chao‐Yu Chou may publish in the future.

Co-authorship network of co-authors of Chao‐Yu Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Yu Chou. A scholar is included among the top collaborators of Chao‐Yu Chou 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 Chao‐Yu Chou. Chao‐Yu Chou 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.
Chen, Chung‐Ho & Chao‐Yu Chou. (2019). Process quality improvement based on the application of rectifying sampling inspection plan. Journal of Industrial and Production Engineering. 36(4). 205–211. 4 indexed citations
2.
Chen, Chung‐Ho & Chao‐Yu Chou. (2017). Economic design of product and process parameters under the specified process capability value. Quality Technology & Quantitative Management. 15(6). 686–701. 11 indexed citations
3.
Chen, Chung‐Ho, et al.. (2015). Joint determination of process quality level and production run time for imperfect production process. Journal of Industrial and Production Engineering. 32(4). 219–224. 8 indexed citations
4.
Chen, Chung‐Ho, Chao‐Yu Chou, & Wei‐Chen Lee. (2012). Optimum Settings of Process Mean, Economic Order Quantity, and Commission Fee. Journal of Applied Science and Engineering. 15(4). 343–352. 1 indexed citations
5.
Lin, Yu‐Chang, et al.. (2010). Adaptive charts with sampling at fixed times under non-normality. Journal of Statistics and Management Systems. 13(2). 327–349. 1 indexed citations
6.
Chou, Chao‐Yu, et al.. (2009). Statistical inference on the multiple-stream yield index. Journal of Statistics and Management Systems. 12(4). 671–678. 3 indexed citations
7.
Cheng, Jui-Chang & Chao‐Yu Chou. (2007). A real-time inventory decision system using Western Electric run rules and ARMA control chart. Expert Systems with Applications. 35(3). 755–761. 20 indexed citations
8.
Chen, Chung‐Ho & Chao‐Yu Chou. (2006). Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost. Journal of Applied Science and Engineering. 9(1). 19–23. 1 indexed citations
9.
Chen, Chung‐Ho & Chao‐Yu Chou. (2006). Determining the Optimum Process Parameters by Asymmetric Quality Loss Function. Mathematika. 22. 129–135. 1 indexed citations
10.
Lin, Yu‐Chang & Chao‐Yu Chou. (2005). Robustness of the Variable Sample Size and Control Limit ¯X Chart to Non Normality. Communication in Statistics- Theory and Methods. 34(3). 721–743. 15 indexed citations
11.
Lin, Yu‐Chang & Chao‐Yu Chou. (2005). Non-normality and the variable parameters control charts. European Journal of Operational Research. 176(1). 361–373. 49 indexed citations
12.
Chen, Chung‐Ho & Chao‐Yu Chou. (2004). Minimum Average Fraction Inspected for Modified CSP-1 Plan. 7(1). 35–43. 3 indexed citations
13.
Chou, Chao‐Yu, Chung‐Ho Chen, & Huirong Liu. (2004). Effect of Nonnormality on the Economic Design of Warning Limit Charts. Quality Engineering. 16(4). 567–575. 10 indexed citations
14.
Chen, Chung‐Ho & Chao‐Yu Chou. (2003). Applying Quality Loss Function in the Design of Economic Specification Limits for Triangular Distribution. Asia Pacific Management Review. 8(1). 1–12. 2 indexed citations
15.
Chou, Chao‐Yu, Chun-Lang Chang, & Chung‐Ho Chen. (2002). MINIMUM-LOSS DESIGN OF X-BAR CONTROL CHARTS FOR NON-NORMALLY CORRELATED DATA. Journal of the Chinese Institute of Industrial Engineers. 19(1). 16–24. 6 indexed citations
16.
Liu, Huirong, Chao‐Yu Chou, & Chung‐Ho Chen. (2002). Minimum-loss design of x-bar charts for correlated data. Journal of Loss Prevention in the Process Industries. 15(6). 405–411. 18 indexed citations
17.
Chen, Chung‐Ho & Chao‐Yu Chou. (2001). Design a Continuous Sampling Plan Based on Quadratic Quality Loss Function. Asia Pacific Management Review. 6(4). 485–489. 2 indexed citations
18.
Chou, Chao‐Yu, et al.. (2001). Integrating an EMQ model and product quality. Journal of the Chinese Institute of Engineers. 24(2). 269–272. 1 indexed citations
19.
Chou, Chao‐Yu, Chung‐Ho Chen, & Huirong Liu. (2000). Economic-statistical design of X ¥ charts for non-normal data by considering quality loss. Journal of Applied Statistics. 27(8). 939–951. 64 indexed citations
20.
Chou, Chao‐Yu, et al.. (1999). A comparative study on the estimators of standard deviation in statistical process control. Journal of the Chinese Institute of Engineers. 22(1). 109–116. 4 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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