Shang‐Hung Lin

5 papers and 338 indexed citations i.

About

Shang‐Hung Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Shang‐Hung Lin has authored 5 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Shang‐Hung Lin’s work include Face and Expression Recognition (3 papers), Face recognition and analysis (2 papers) and Neural Networks and Applications (2 papers). Shang‐Hung Lin is often cited by papers focused on Face and Expression Recognition (3 papers), Face recognition and analysis (2 papers) and Neural Networks and Applications (2 papers). Shang‐Hung Lin collaborates with scholars based in United States and Taiwan. Shang‐Hung Lin's co-authors include Sun‐Yuan Kung, Long-Ji Lin, Huai Li, Yue Wang and J.S. Taur and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and Informing Science The International Journal of an Emerging Transdiscipline.

In The Last Decade

Co-authorship network of co-authors of Shang‐Hung Lin i

Fields of papers citing papers by Shang‐Hung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang‐Hung Lin. 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 Shang‐Hung Lin. The network helps show where Shang‐Hung Lin may publish in the future.

Countries citing papers authored by Shang‐Hung Lin

Since Specialization
Citations

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