Ming‐Hung Shu

2.5k total citations
126 papers, 1.9k citations indexed

About

Ming‐Hung Shu is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Ming‐Hung Shu has authored 126 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Statistics, Probability and Uncertainty, 47 papers in Management Science and Operations Research and 30 papers in Statistics and Probability. Recurrent topics in Ming‐Hung Shu's work include Advanced Statistical Process Monitoring (80 papers), Optimal Experimental Design Methods (25 papers) and Scientific Measurement and Uncertainty Evaluation (21 papers). Ming‐Hung Shu is often cited by papers focused on Advanced Statistical Process Monitoring (80 papers), Optimal Experimental Design Methods (25 papers) and Scientific Measurement and Uncertainty Evaluation (21 papers). Ming‐Hung Shu collaborates with scholars based in Taiwan, China and Vietnam. Ming‐Hung Shu's co-authors include Bi‐Min Hsu, Jing–Rong Chang, Ching‐Hsue Cheng, Chien‐Wei Wu, To‐Cheng Wang, W. L. Pearn, Hsien-Chung Wu, Jui-Chan Huang, Thanh Lâm Nguyễn and Binshan Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Ming‐Hung Shu

115 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Hung Shu Taiwan 23 1.1k 778 482 382 372 126 1.9k
Reza Baradaran Kazemzadeh Iran 20 681 0.6× 912 1.2× 362 0.8× 370 1.0× 257 0.7× 67 2.2k
J. Bert Keats United States 21 1.3k 1.2× 339 0.4× 814 1.7× 278 0.7× 214 0.6× 49 2.2k
Fu‐Kwun Wang Taiwan 34 1.3k 1.2× 847 1.1× 958 2.0× 439 1.1× 872 2.3× 173 4.0k
Kuei‐Hu Chang Taiwan 25 662 0.6× 1.2k 1.5× 170 0.4× 232 0.6× 171 0.5× 94 2.1k
Ali Fuat Güneri Türkiye 22 455 0.4× 909 1.2× 99 0.2× 204 0.5× 152 0.4× 55 1.8k
Meilin Wen China 21 360 0.3× 545 0.7× 316 0.7× 374 1.0× 134 0.4× 65 1.2k
Tongdan Jin United States 30 622 0.6× 226 0.3× 240 0.5× 636 1.7× 290 0.8× 145 2.7k
Bi‐Min Hsu Taiwan 19 522 0.5× 256 0.3× 187 0.4× 136 0.4× 183 0.5× 60 950
Mangey Ram India 26 383 0.4× 287 0.4× 296 0.6× 204 0.5× 180 0.5× 225 2.4k
Long Liu China 11 722 0.7× 899 1.2× 65 0.1× 189 0.5× 159 0.4× 36 1.9k

Countries citing papers authored by Ming‐Hung Shu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Hung Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Hung Shu. 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 Ming‐Hung Shu. The network helps show where Ming‐Hung Shu may publish in the future.

Co-authorship network of co-authors of Ming‐Hung Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Hung Shu. A scholar is included among the top collaborators of Ming‐Hung Shu 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 Ming‐Hung Shu. Ming‐Hung Shu 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.
Yang, Fan, et al.. (2025). A novel electroosmotic microdevice for efficient micromixing in biodiesel synthesis. Chemical Papers. 80(2). 1613–1626.
2.
Shu, Ming‐Hung, et al.. (2025). Accelerated life testing and reliability estimation for internet of things-based smart water networks. Reliability Engineering & System Safety. 266. 111705–111705. 1 indexed citations
3.
Wang, To‐Cheng, Chien‐Wei Wu, & Ming‐Hung Shu. (2025). Developing a failure-censored two-plan sampling system for product reliability validation under the Weibull distribution. Advanced Engineering Informatics. 67. 103584–103584.
4.
Wu, Chien‐Wei, Ming‐Hung Shu, To‐Cheng Wang, & Yen-Lun Chen. (2024). Integrating capability index and generalized rule-switching mechanism for enhanced quick-switch sampling systems. International Journal of Production Economics. 276. 109366–109366. 3 indexed citations
5.
6.
Huang, Jui-Chan, et al.. (2024). Market-based optimization of integrated energy systems: Modeling and analysis of multi-carrier energy networks. Electric Power Systems Research. 239. 111245–111245. 1 indexed citations
7.
Wu, Chien‐Wei, Ming‐Hung Shu, & To‐Cheng Wang. (2023). An adaptive lot-traceability sampling plan for Weibull distributed lifetime with warranty return rate consideration and a smart information system. Annals of Operations Research. 349(1). 87–101. 9 indexed citations
8.
Shu, Ming‐Hung, To‐Cheng Wang, & Bi‐Min Hsu. (2023). Integrated green‐and‐quality inspection schemes for green product quality with six‐sigma yield assurance and risk management. Quality and Reliability Engineering International. 39(7). 2720–2735. 7 indexed citations
9.
Wu, Chien‐Wei, et al.. (2021). Comparisons of frequentist and Bayesian inferences for interval estimation on process yield. Journal of the Operational Research Society. 73(12). 2694–2705. 2 indexed citations
10.
Wu, Chien‐Wei, et al.. (2017). Variable-sampling plans based on lifetime-performance index under exponential distribution with censoring and its extensions. Applied Mathematical Modelling. 55. 81–93. 39 indexed citations
11.
Shu, Ming‐Hung & Hsien-Chung Wu. (2014). Supplier Evaluation and Selection Based on Stochastic Dominance: A Quality-Based Approach. Communication in Statistics- Theory and Methods. 43(14). 2907–2922. 12 indexed citations
12.
Shu, Ming‐Hung, et al.. (2014). A production–delivery lot sizing policy with stochastic delivery time and in consideration of transportation cost. Applied Mathematical Modelling. 39(10-11). 2981–2993. 18 indexed citations
13.
Nguyễn, Thanh Lâm, Ming‐Hung Shu, & Bi‐Min Hsu. (2013). FORECASTING INTERNATIONAL TOURISM DEMAND- AN EMPIRICAL CASE IN TAIWAN. RePEc: Research Papers in Economics. 3(6). 711–724. 1 indexed citations
14.
Hsu, Bi‐Min & Ming‐Hung Shu. (2011). A two-phase method for controlling Erlang-failure processes with high reliability. Journal of Applied Statistics. 38(4). 717–734. 2 indexed citations
15.
Hsu, Bi‐Min, et al.. (2009). A two-stage controlling procedure for the exponential failure process with high reliability. Total Quality Management & Business Excellence. 20(8). 817–828. 3 indexed citations
16.
Wu, Chien‐Wei, et al.. (2009). A comparison of methods forsing loss-based capability index. Journal of Statistical Computation and Simulation. 79(9). 1129–1141. 8 indexed citations
17.
Wu, Chien‐Wei, et al.. (2008). Bootstrap approach for supplier selection based on production yield. International Journal of Production Research. 46(18). 5211–5230. 26 indexed citations
18.
Shu, Ming‐Hung, et al.. (2007). Supplier Evaluation and Selection Criteria in the Construction Industry of Taiwan and Vietnam. 18(4). 403–426. 30 indexed citations
19.
Pearn, W. L., Ming‐Hung Shu, & Bi‐Min Hsu. (2007). Testing process capability based on Cpm in the presence of random measurement errors. Quality Engineering. 52(2). 155–156.
20.
Shu, Ming‐Hung. (2006). MANUFACTURING CAPABILITY ASSURANCE FOR PRODUCT WITH MULTIPLE CHARCTERISICS: A CASE STUDY APPLIED TO LOW DROPOUT VOLTAGE REGULATOR. International journal of industrial engineering. 13(1). 41–50. 5 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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