Ming-Wei Shih

About

Ming-Wei Shih is a scholar working on Artificial Intelligence, Signal Processing and Materials Chemistry. According to data from OpenAlex, Ming-Wei Shih has authored 2 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Materials Chemistry. Recurrent topics in Ming-Wei Shih’s work include Security and Verification in Computing (2 papers), Advanced Malware Detection Techniques (2 papers) and Digital and Cyber Forensics (1 paper). Ming-Wei Shih is often cited by papers focused on Security and Verification in Computing (2 papers), Advanced Malware Detection Techniques (2 papers) and Digital and Cyber Forensics (1 paper). Ming-Wei Shih collaborates with scholars based in United States and United Kingdom. Ming-Wei Shih's co-authors include Taesoo Kim, Sangho Lee, Prasun Gera, Hyesoon Kim, Marcus Peinado, Chengyu Song, Chenxiong Qian, Kangjie Lu, Cong Zheng and Sangho Lee and has published in prestigious journals such as ACM Computing Surveys and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Ming-Wei Shih i

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Fields of papers citing papers by Ming-Wei Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming-Wei Shih

Since Specialization

Citations

This map shows the geographic impact of Ming-Wei 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-Wei 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-Wei 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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