Li–Heng Chen

14 papers and 248 indexed citations i.

About

Li–Heng Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Statistics, Probability and Uncertainty. According to data from OpenAlex, Li–Heng Chen has authored 14 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Li–Heng Chen’s work include Advanced Image Processing Techniques (6 papers), Image and Video Quality Assessment (6 papers) and Video Coding and Compression Technologies (5 papers). Li–Heng Chen is often cited by papers focused on Advanced Image Processing Techniques (6 papers), Image and Video Quality Assessment (6 papers) and Video Coding and Compression Technologies (5 papers). Li–Heng Chen collaborates with scholars based in United States, China and Taiwan. Li–Heng Chen's co-authors include Soo‐Chang Pei, Alan C. Bovik, Christos G. Bampis, Andrey Norkin, Zhengzhong Tu, Neil Birkbeck, Balu Adsumilli, Rongsheng Sheng, Michael D. Morris and Joel Solé and has published in prestigious journals such as IEEE Transactions on Image Processing, Applied Spectroscopy and IEEE Signal Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Li–Heng Chen i

Fields of papers citing papers by Li–Heng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li–Heng Chen. 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 Li–Heng Chen. The network helps show where Li–Heng Chen may publish in the future.

Countries citing papers authored by Li–Heng Chen

Since Specialization
Citations

This map shows the geographic impact of Li–Heng Chen'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 Li–Heng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li–Heng Chen 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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