Shao-Kuo Tai

8 papers and 208 indexed citations i.

About

Shao-Kuo Tai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Shao-Kuo Tai has authored 8 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Shao-Kuo Tai’s work include Vehicle License Plate Recognition (4 papers), Advanced Neural Network Applications (4 papers) and Infrastructure Maintenance and Monitoring (2 papers). Shao-Kuo Tai is often cited by papers focused on Vehicle License Plate Recognition (4 papers), Advanced Neural Network Applications (4 papers) and Infrastructure Maintenance and Monitoring (2 papers). Shao-Kuo Tai collaborates with scholars based in Taiwan, Indonesia and Japan. Shao-Kuo Tai's co-authors include Rung-Ching Chen, Christine Dewi, Yanting Liu, Hendry Hendry, Xiaoyi Jiang, Hui Yu, Weilun Wang, Goutam Chakraborty and Basabi Chakraborty and has published in prestigious journals such as IEEE Access, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Shao-Kuo Tai i

Fields of papers citing papers by Shao-Kuo Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Kuo Tai. 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 Shao-Kuo Tai. The network helps show where Shao-Kuo Tai may publish in the future.

Countries citing papers authored by Shao-Kuo Tai

Since Specialization
Citations

This map shows the geographic impact of Shao-Kuo Tai'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 Shao-Kuo Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao-Kuo Tai 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