Shih-Fu Chang

9 papers and 245 indexed citations i.

About

Shih-Fu Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shih-Fu Chang has authored 9 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Shih-Fu Chang’s work include Video Analysis and Summarization (2 papers), Multimodal Machine Learning Applications (2 papers) and Cell Image Analysis Techniques (2 papers). Shih-Fu Chang is often cited by papers focused on Video Analysis and Summarization (2 papers), Multimodal Machine Learning Applications (2 papers) and Cell Image Analysis Techniques (2 papers). Shih-Fu Chang collaborates with scholars based in United States and Taiwan. Shih-Fu Chang's co-authors include Jun Wang, Norbert Perrimon, Xiaobo Zhou, Alexandros Eleftheriadis, Stephen T.C. Wong, Pamela L. Bradley, Robert McClintock, Fon-Yih Tsuang, Daniel Attinger and Cédric Hurth and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Circuits and Systems for Video Technology and Journal of Clinical Medicine.

In The Last Decade

Co-authorship network of co-authors of Shih-Fu Chang i

Fields of papers citing papers by Shih-Fu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Fu 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 Shih-Fu Chang. The network helps show where Shih-Fu Chang may publish in the future.

Countries citing papers authored by Shih-Fu Chang

Since Specialization
Citations

This map shows the geographic impact of Shih-Fu 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 Shih-Fu Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Fu 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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2025