Ming‐Hung Shih

27 papers and 236 indexed citations i.

About

Ming‐Hung Shih is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ming‐Hung Shih has authored 27 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 7 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Ming‐Hung Shih’s work include Blockchain Technology Applications and Security (5 papers), Data Management and Algorithms (5 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Ming‐Hung Shih is often cited by papers focused on Blockchain Technology Applications and Security (5 papers), Data Management and Algorithms (5 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Ming‐Hung Shih collaborates with scholars based in United States and Taiwan. Ming‐Hung Shih's co-authors include Dong‐Her Shih, C.P. Chang, P.W. Kao, Cheng-Fu Yu, Binshan Lin, Hsiu‐Sen Chiang, David C. Yen, Bojian Xu, Trong Duc Nguyen and Srikanta Tirthapura and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and Sensors.

In The Last Decade

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

Fields of papers citing papers by Ming‐Hung Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming‐Hung Shih

Since Specialization
Citations

This map shows the geographic impact of Ming‐Hung Shih'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 Shih 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 Shih 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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2025