Chung‐Yang Shih

21 papers and 321 indexed citations i.

About

Chung‐Yang Shih is a scholar working on Industrial and Manufacturing Engineering, Polymers and Plastics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chung‐Yang Shih has authored 21 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Industrial and Manufacturing Engineering, 11 papers in Polymers and Plastics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chung‐Yang Shih’s work include Industrial Vision Systems and Defect Detection (12 papers), Textile materials and evaluations (8 papers) and Color Science and Applications (7 papers). Chung‐Yang Shih is often cited by papers focused on Industrial Vision Systems and Defect Detection (12 papers), Textile materials and evaluations (8 papers) and Color Science and Applications (7 papers). Chung‐Yang Shih collaborates with scholars based in Taiwan, China and United States. Chung‐Yang Shih's co-authors include Chung−Feng Jeffrey Kuo, Jiunn‐Yih Lee, Sy‐Yen Kuo, Kuo‐Shien Huang, Te‐Li Su, Yu–Hsun Nien, Chao-Yang Huang, Xavier Boix and A. Feder Cooper and has published in prestigious journals such as Scientific Reports, Journal of Applied Polymer Science and Journal of Intelligent Manufacturing.

In The Last Decade

Co-authorship network of co-authors of Chung‐Yang Shih i

Fields of papers citing papers by Chung‐Yang Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chung‐Yang Shih

Since Specialization
Citations

This map shows the geographic impact of Chung‐Yang 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 Chung‐Yang Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung‐Yang 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