Kuan-Ta Chen

44 papers and 1.3k indexed citations i.

About

Kuan-Ta Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Kuan-Ta Chen has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Kuan-Ta Chen’s work include Image and Video Quality Assessment (12 papers), Mobile Crowdsensing and Crowdsourcing (7 papers) and Network Traffic and Congestion Control (7 papers). Kuan-Ta Chen is often cited by papers focused on Image and Video Quality Assessment (12 papers), Mobile Crowdsensing and Crowdsourcing (7 papers) and Network Traffic and Congestion Control (7 papers). Kuan-Ta Chen collaborates with scholars based in Taiwan, United States and Australia. Kuan-Ta Chen's co-authors include Chin‐Laung Lei, Chun‐Ying Huang, Cheng-Hsin Hsu, Yuchun Chang, Chen‐Chi Wu, Deyu Chen, Polly Huang, Chia-Ching Lin, Mrinal Kanti Baowaly and Chao-Lin Liu and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Communications of the ACM.

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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