Yung‐Chi Chang

33 papers and 1.4k indexed citations i.

About

Yung‐Chi Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Molecular Biology. According to data from OpenAlex, Yung‐Chi Chang has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 11 papers in Molecular Biology. Recurrent topics in Yung‐Chi Chang’s work include Advanced Data Compression Techniques (12 papers), Video Coding and Compression Technologies (11 papers) and Immune Response and Inflammation (9 papers). Yung‐Chi Chang is often cited by papers focused on Advanced Data Compression Techniques (12 papers), Video Coding and Compression Technologies (11 papers) and Immune Response and Inflammation (9 papers). Yung‐Chi Chang collaborates with scholars based in Taiwan, United States and Czechia. Yung‐Chi Chang's co-authors include Victor Nizet, Ajit Varki, Satoshi Uchiyama, Aaron F. Carlin, Amanda L. Lewis, Masaki Yanagishita, Thomas N. Wight, Vincent Hascall, Akiko Eguchi and Nitin Puri and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Yung‐Chi Chang i

Fields of papers citing papers by Yung‐Chi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Chi Chang. 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 Yung‐Chi Chang. The network helps show where Yung‐Chi Chang may publish in the future.

Countries citing papers authored by Yung‐Chi Chang

Since Specialization
Citations

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