Hung-Chi Fang

24 papers and 178 indexed citations i.

About

Hung-Chi Fang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hung-Chi Fang has authored 24 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 21 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Hung-Chi Fang’s work include Advanced Data Compression Techniques (22 papers), Video Coding and Compression Technologies (13 papers) and Digital Filter Design and Implementation (12 papers). Hung-Chi Fang is often cited by papers focused on Advanced Data Compression Techniques (22 papers), Video Coding and Compression Technologies (13 papers) and Digital Filter Design and Implementation (12 papers). Hung-Chi Fang collaborates with scholars based in Taiwan. Hung-Chi Fang's co-authors include Liang‐Gee Chen, Tu-Chih Wang, Chung-Jr Lian, Chao-Tsung Huang, Yu‐Wen Huang, Po-Chih Tseng, Yung‐Chi Chang, Yu‐Wei Chang, Chun-Chia Chen and Yu Yu and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Co-authorship network of co-authors of Hung-Chi Fang i

Fields of papers citing papers by Hung-Chi Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-Chi Fang. 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 Hung-Chi Fang. The network helps show where Hung-Chi Fang may publish in the future.

Countries citing papers authored by Hung-Chi Fang

Since Specialization
Citations

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