Su‐Yun Huang

26 papers and 382 indexed citations i.

About

Su‐Yun Huang is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Su‐Yun Huang has authored 26 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Su‐Yun Huang’s work include Statistical Methods and Inference (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Image and Signal Denoising Methods (5 papers). Su‐Yun Huang is often cited by papers focused on Statistical Methods and Inference (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Image and Signal Denoising Methods (5 papers). Su‐Yun Huang collaborates with scholars based in Taiwan, United States and Japan. Su‐Yun Huang's co-authors include Yuh‐Jye Lee, Yi-Ren Yeh, Hung Hung, Chuhsing Kate Hsiao, Pei‐Chun Chen, Kuang‐Yao Lee, Tsung-Ju Lee, I‐Ping Tu, Wei J. Chen and Shinto Eguchi and has published in prestigious journals such as Biometrics, IEEE Transactions on Signal Processing and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Su‐Yun Huang i

Fields of papers citing papers by Su‐Yun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Yun Huang. 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 Su‐Yun Huang. The network helps show where Su‐Yun Huang may publish in the future.

Countries citing papers authored by Su‐Yun Huang

Since Specialization
Citations

This map shows the geographic impact of Su‐Yun Huang'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 Su‐Yun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Yun Huang 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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