Ming‐Hung Shu

111 papers and 1.7k indexed citations i.

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 111 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Statistics, Probability and Uncertainty, 41 papers in Management Science and Operations Research and 25 papers in Statistics and Probability. Recurrent topics in Ming‐Hung Shu’s work include Advanced Statistical Process Monitoring (73 papers), Optimal Experimental Design Methods (24 papers) and Scientific Measurement and Uncertainty Evaluation (19 papers). Ming‐Hung Shu is often cited by papers focused on Advanced Statistical Process Monitoring (73 papers), Optimal Experimental Design Methods (24 papers) and Scientific Measurement and Uncertainty Evaluation (19 papers). Ming‐Hung Shu collaborates with scholars based in Taiwan, China and Vietnam. Ming‐Hung Shu's co-authors include Bi‐Min Hsu, Ching‐Hsue Cheng, Jing–Rong Chang, Chien‐Wei Wu, W. L. Pearn, To‐Cheng Wang, Hsien-Chung Wu, Jui-Chan Huang, Thanh Lâm Nguyễn and Binshan Lin and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Access.

In The Last Decade

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

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.

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).

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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