Shih-Fu Chang

50 papers and 1.7k indexed citations i.

About

Shih-Fu Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shih-Fu Chang has authored 50 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Shih-Fu Chang’s work include Multimodal Machine Learning Applications (15 papers), Video Analysis and Summarization (14 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Shih-Fu Chang is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Video Analysis and Summarization (14 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Shih-Fu Chang collaborates with scholars based in United States, Italy and France. Shih-Fu Chang's co-authors include Yu-Feng Hsu, Tao Chen, Rongrong Ji, Damian Borth, Thomas M. Breuel, Guangxing Han, Jiawei Ma, Shiyuan Huang, Jae‐Pil Heo and Youngwoon Lee and has published in prestigious journals such as Proceedings of the IEEE, Artificial Intelligence and IEEE Signal Processing Magazine.

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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