Kun-Ta Chuang

32 papers and 308 indexed citations i.

About

Kun-Ta Chuang is a scholar working on Signal Processing, Information Systems and Artificial Intelligence. According to data from OpenAlex, Kun-Ta Chuang has authored 32 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 13 papers in Information Systems and 12 papers in Artificial Intelligence. Recurrent topics in Kun-Ta Chuang’s work include Data Management and Algorithms (13 papers), Data Mining Algorithms and Applications (12 papers) and Advanced Clustering Algorithms Research (5 papers). Kun-Ta Chuang is often cited by papers focused on Data Management and Algorithms (13 papers), Data Mining Algorithms and Applications (12 papers) and Advanced Clustering Algorithms Research (5 papers). Kun-Ta Chuang collaborates with scholars based in Taiwan, United States and Luxembourg. Kun-Ta Chuang's co-authors include Ming-Syan Chen⋆, Jiun‐Long Huang, Jun Huang, Po‐Lin Chen, Wen‐Chien Ko, Nai‐Ying Ko, Yu‐Chen Shu, De-Nian Yang, Jen-Wei Huang and Chun-Rong Huang and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Knowledge and Data Engineering and PLoS neglected tropical diseases.

In The Last Decade

Co-authorship network of co-authors of Kun-Ta Chuang i

Fields of papers citing papers by Kun-Ta Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun-Ta Chuang. 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 Kun-Ta Chuang. The network helps show where Kun-Ta Chuang may publish in the future.

Countries citing papers authored by Kun-Ta Chuang

Since Specialization
Citations

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