Yuehjen E. Shao

1.1k total citations
49 papers, 853 citations indexed

About

Yuehjen E. Shao is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Yuehjen E. Shao has authored 49 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics, Probability and Uncertainty, 25 papers in Control and Systems Engineering and 9 papers in Management Science and Operations Research. Recurrent topics in Yuehjen E. Shao's work include Advanced Statistical Process Monitoring (30 papers), Fault Detection and Control Systems (25 papers) and Advanced Statistical Methods and Models (9 papers). Yuehjen E. Shao is often cited by papers focused on Advanced Statistical Process Monitoring (30 papers), Fault Detection and Control Systems (25 papers) and Advanced Statistical Methods and Models (9 papers). Yuehjen E. Shao collaborates with scholars based in Taiwan, United States and China. Yuehjen E. Shao's co-authors include Chi-Jie Lu, Tian‐Shyug Lee, I-Fei Chen, Chih‐Chou Chiu, Chih‐Chou Chiu, George C. Runger, Shih-Chieh Lin, John Fowler, Yu‐Chiun Wang and P.-Y. Chang and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Economics and Neurocomputing.

In The Last Decade

Yuehjen E. Shao

47 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuehjen E. Shao Taiwan 16 329 273 214 135 108 49 853
Chih‐Chou Chiu Taiwan 13 136 0.4× 159 0.6× 454 2.1× 537 4.0× 61 0.6× 21 1.2k
H. S. Sii United Kingdom 11 223 0.7× 168 0.6× 317 1.5× 300 2.2× 22 0.2× 19 886
Sébastien Destercke France 19 138 0.4× 88 0.3× 512 2.4× 384 2.8× 185 1.7× 95 1.0k
H. Hasan Örkçü Türkiye 15 35 0.1× 104 0.4× 115 0.5× 337 2.5× 55 0.5× 46 707
S. Balamurali India 23 1.5k 4.7× 99 0.4× 150 0.7× 706 5.2× 809 7.5× 170 2.0k
Shihua Luo China 15 43 0.1× 284 1.0× 155 0.7× 176 1.3× 83 0.8× 71 804
Frank P. A. Coolen United Kingdom 25 1.1k 3.3× 160 0.6× 445 2.1× 341 2.5× 1.1k 10.6× 184 2.4k
Victor L. Berardi United States 8 52 0.2× 26 0.1× 192 0.9× 153 1.1× 28 0.3× 16 536
Richard S. Leavenworth United States 6 376 1.1× 112 0.4× 43 0.2× 78 0.6× 152 1.4× 10 728
Jacky Montmain France 17 61 0.2× 399 1.5× 407 1.9× 143 1.1× 21 0.2× 50 978

Countries citing papers authored by Yuehjen E. Shao

Since Specialization
Citations

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

Fields of papers citing papers by Yuehjen E. Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuehjen E. Shao. 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 Yuehjen E. Shao. The network helps show where Yuehjen E. Shao may publish in the future.

Co-authorship network of co-authors of Yuehjen E. Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuehjen E. Shao. A scholar is included among the top collaborators of Yuehjen E. Shao 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 Yuehjen E. Shao. Yuehjen E. Shao 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.
Shao, Yuehjen E., et al.. (2020). Using Machine Learning Classifiers to Recognize the Mixture Control Chart Patterns for a Multiple-Input Multiple-Output Process. Mathematics. 8(1). 102–102. 13 indexed citations
2.
Shao, Yuehjen E., P.-Y. Chang, & Chi-Jie Lu. (2017). Applying Two-Stage Neural Network Based Classifiers to the Identification of Mixture Control Chart Patterns for an SPC-EPC Process. Complexity. 2017. 1–10. 14 indexed citations
3.
Shao, Yuehjen E. & P.-Y. Chang. (2016). Classification of the Mixture Disturbance Patterns for a Manufacturing Process. 1 indexed citations
4.
Shao, Yuehjen E., et al.. (2015). APPLYING ARTIFICIAL NEURAL NETWORKS, MULTIPLE REGRESSION AND THEIR HYBRID MODELS FOR PREDICTIONS OF ELECTRICITY SALES IN TAIWAN. ICIC express letters. Part B, Applications. 6(2). 485–490.
5.
Shao, Yuehjen E., et al.. (2015). Integrated Use of Statistical-Based Approaches and Computational Intelligence Techniques for Tumors Classification Using Microarray. Discrete Dynamics in Nature and Society. 2015. 1–8. 1 indexed citations
6.
Shao, Yuehjen E.. (2014). Body Fat Percentage Prediction Using Intelligent Hybrid Approaches. The Scientific World JOURNAL. 2014. 1–8. 28 indexed citations
7.
Shao, Yuehjen E., et al.. (2013). A Combined MLE and Generalized P Chart Approach to Estimate the Change Point of a Multinomial Process. Applied Mathematics & Information Sciences. 7(4). 1487–1493. 12 indexed citations
8.
Shao, Yuehjen E., et al.. (2013). Hybrid intelligent modeling schemes for heart disease classification. Applied Soft Computing. 14. 47–52. 88 indexed citations
9.
Shao, Yuehjen E.. (2013). Prediction of Currency Volume Issued in Taiwan Using a Hybrid Artificial Neural Network and Multiple Regression Approach. Mathematical Problems in Engineering. 2013. 1–9. 9 indexed citations
10.
Hou, Angela Yung Chi, R. Morse, & Yuehjen E. Shao. (2012). Is there a gap between students’ preference and university presidents’ concern over college ranking indicators?: a case study of “College Navigator in Taiwan”. Higher Education. 64(6). 767–787. 12 indexed citations
11.
Lu, Chi-Jie, et al.. (2011). Mixture control chart patterns recognition using independent component analysis and support vector machine. Neurocomputing. 74(11). 1908–1914. 65 indexed citations
12.
Shao, Yuehjen E. & Yini Lin. (2010). 10A-E-2 Determination of Starting Time of a Multivariate Process Disturbance Using Support Vector Machine and Hotelling T^2 Control Chart(Room E International session). 305–308. 1 indexed citations
13.
Shao, Yuehjen E.. (2009). A Fault Detection for a Correlated Process with the Use of SPC/EPC/NN Scheme. 33. 240–243. 2 indexed citations
14.
Shao, Yuehjen E., et al.. (2008). On an agent-based architecture for collaborative continuous auditing. 355–360. 7 indexed citations
15.
Shao, Yuehjen E., et al.. (2006). ESTIMATION OF THE STARTING TIME OF A STEP CHANGE DISTURBANCE IN A GAMMA PROCESS. Journal of the Chinese Institute of Industrial Engineers. 23(4). 319–327. 11 indexed citations
16.
Shao, Yuehjen E., et al.. (2006). ESTIMATION OF THE CHANGE POINT OF A GAMMA PROCESS BY USING THE S CONTROL CHART AND MLE. Journal of the Chinese Institute of Industrial Engineers. 23(3). 207–214. 8 indexed citations
17.
Shao, Yuehjen E., John Fowler, & George C. Runger. (2005). A note on determining an optimal target by considering the dependence of holding costs and the quality characteristics. Journal of Applied Statistics. 32(8). 813–822. 2 indexed citations
18.
Shao, Yuehjen E. & Chih‐Chou Chiu. (1999). Developing identification techniques with the integrated use of SPC/EPC and neural networks. Quality and Reliability Engineering International. 15(4). 287–294. 15 indexed citations
19.
Shao, Yuehjen E.. (1998). The identification techniques that result from using an integrated spc-epc control system. Journal of the Chinese Institute of Industrial Engineers. 15(2). 179–184. 1 indexed citations
20.
Shao, Yuehjen E.. (1998). INTEGRATED APPLICATION OF THE CUMULATIVE SCORE CONTROL CHART AND ENGINEERING PROCESS CONTROL. 24 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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