Pao‐Chi Chang

76 papers and 711 indexed citations i.

About

Pao‐Chi Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Pao‐Chi Chang has authored 76 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Vision and Pattern Recognition, 49 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Pao‐Chi Chang’s work include Video Coding and Compression Technologies (32 papers), Advanced Data Compression Techniques (21 papers) and Advanced Vision and Imaging (17 papers). Pao‐Chi Chang is often cited by papers focused on Video Coding and Compression Technologies (32 papers), Advanced Data Compression Techniques (21 papers) and Advanced Vision and Imaging (17 papers). Pao‐Chi Chang collaborates with scholars based in Taiwan, United States and China. Pao‐Chi Chang's co-authors include Robert M. Gray, Shih-Wei Sun, Chun-Shien Lu, B.-H. Juang, Ssu‐Han Chen, R. Wang, Chih‐Wei Huang, Chien-Yao Wang, Kai-Wen Liang and Jia‐Ching Wang and has published in prestigious journals such as Sensors, Remote Sensing and IEEE Transactions on Vehicular Technology.

In The Last Decade

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

Fields of papers citing papers by Pao‐Chi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pao‐Chi Chang

Since Specialization
Citations

This map shows the geographic impact of Pao‐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 Pao‐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 Pao‐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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2025