Yun‐Ta Tsai

15 papers and 598 indexed citations i.

About

Yun‐Ta Tsai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yun‐Ta Tsai has authored 15 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yun‐Ta Tsai’s work include Image Enhancement Techniques (9 papers), Advanced Vision and Imaging (8 papers) and Advanced Image Processing Techniques (4 papers). Yun‐Ta Tsai is often cited by papers focused on Image Enhancement Techniques (9 papers), Advanced Vision and Imaging (8 papers) and Advanced Image Processing Techniques (4 papers). Yun‐Ta Tsai collaborates with scholars based in United States, United Kingdom and Austria. Yun‐Ta Tsai's co-authors include Jonathan T. Barron, Ronald Azuma, Jason Wither, Kari Pulli, Dawid Pająk, Xiuming Zhang, Markus Steinberger, Karen Egiazarian, Mushfiqur Rouf and Ravi Ramamoorthi and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and Computers & Graphics.

In The Last Decade

Co-authorship network of co-authors of Yun‐Ta Tsai i

Fields of papers citing papers by Yun‐Ta Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun‐Ta Tsai

Since Specialization
Citations

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