Shih-Syun Lin

33 papers and 488 indexed citations i.

About

Shih-Syun Lin is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Materials Chemistry. According to data from OpenAlex, Shih-Syun Lin has authored 33 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 3 papers in Materials Chemistry. Recurrent topics in Shih-Syun Lin’s work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Vision and Imaging (7 papers) and Visual Attention and Saliency Detection (6 papers). Shih-Syun Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Advanced Vision and Imaging (7 papers) and Visual Attention and Saliency Detection (6 papers). Shih-Syun Lin collaborates with scholars based in Taiwan, United States and China. Shih-Syun Lin's co-authors include Tong‐Yee Lee, Chao‐Hung Lin, Yi‐Zeng Hsieh, Min‐Chun Hu, Kathryn Fitzpatrick, Jerome S. Nisselbaum, Howard I. Scher, Tracy Curley, Morton K. Schwartz and Christine Engstrom and has published in prestigious journals such as Journal of Clinical Oncology, Sensors and Journal of Materials Processing Technology.

In The Last Decade

Co-authorship network of co-authors of Shih-Syun Lin i

Fields of papers citing papers by Shih-Syun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Syun 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 Shih-Syun Lin. The network helps show where Shih-Syun Lin may publish in the future.

Countries citing papers authored by Shih-Syun Lin

Since Specialization
Citations

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