Kuo‐Chung Tai

40 papers and 921 indexed citations i.

About

Kuo‐Chung Tai is a scholar working on Software, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Kuo‐Chung Tai has authored 40 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Software, 15 papers in Artificial Intelligence and 14 papers in Hardware and Architecture. Recurrent topics in Kuo‐Chung Tai’s work include Software Testing and Debugging Techniques (18 papers), Software Reliability and Analysis Research (13 papers) and Formal Methods in Verification (8 papers). Kuo‐Chung Tai is often cited by papers focused on Software Testing and Debugging Techniques (18 papers), Software Reliability and Analysis Research (13 papers) and Formal Methods in Verification (8 papers). Kuo‐Chung Tai collaborates with scholars based in United States, Hong Kong and Taiwan. Kuo‐Chung Tai's co-authors include Richard H. Carver, Yu Lei, Pramod V. Koppol, Mladen A. Vouk, Amit Paradkar, Alan L. Tharp, Lu Peng, Charles N. Fischer, Dharma P. Agrawal and Kenneth P. Garrard and has published in prestigious journals such as Journal of the ACM, IEEE Transactions on Software Engineering and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Kuo‐Chung Tai i

Fields of papers citing papers by Kuo‐Chung Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kuo‐Chung Tai

Since Specialization
Citations

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