Shu‐Yen Wan

About

Shu‐Yen Wan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Shu‐Yen Wan has authored 23 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Graphics and Computer-Aided Design and 3 papers in Artificial Intelligence. Recurrent topics in Shu‐Yen Wan’s work include Medical Image Segmentation Techniques (10 papers), Digital Image Processing Techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). Shu‐Yen Wan is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Digital Image Processing Techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). Shu‐Yen Wan collaborates with scholars based in Taiwan, United States and India. Shu‐Yen Wan's co-authors include William E. Higgins, Chi Him Eddie, R. Alberto Travagli, F. Holly Coleman, Kuo‐Ching Ying, Shih-Wei Lin, Erik L. Ritman, Lun‐Jou Lo, Hsiu‐Hsia Lin and Jiann-Der Lee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and British Journal of Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Shu‐Yen Wan i

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Fields of papers citing papers by Shu‐Yen Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Yen Wan. 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 Shu‐Yen Wan. The network helps show where Shu‐Yen Wan may publish in the future.

Countries citing papers authored by Shu‐Yen Wan

Since Specialization

Citations

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