Kuan‐Ta Chen

12 papers and 157 indexed citations i.

About

Kuan‐Ta Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Kuan‐Ta Chen has authored 12 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Kuan‐Ta Chen’s work include Peer-to-Peer Network Technologies (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Visual Attention and Saliency Detection (3 papers). Kuan‐Ta Chen is often cited by papers focused on Peer-to-Peer Network Technologies (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Visual Attention and Saliency Detection (3 papers). Kuan‐Ta Chen collaborates with scholars based in Taiwan, United States and Norway. Kuan‐Ta Chen's co-authors include Chun‐Ying Huang, Chin‐Laung Lei, Haw-Shiuan Chang, Wen‐Chin Chen, Hao-Hua Chu, Chen‐Chi Wu, Hwai-Jung Hsu, Cheng-Hsin Hsu, Gwendal Simon and Carsten Griwodz and has published in prestigious journals such as Knowledge-Based Systems, Computer Methods and Programs in Biomedicine and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Kuan‐Ta Chen i

Fields of papers citing papers by Kuan‐Ta Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Ta Chen. 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 Kuan‐Ta Chen. The network helps show where Kuan‐Ta Chen may publish in the future.

Countries citing papers authored by Kuan‐Ta Chen

Since Specialization
Citations

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