Shih-En Wei

About

Shih-En Wei is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Shih-En Wei has authored 19 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 4 papers in Computational Mechanics. Recurrent topics in Shih-En Wei’s work include Advanced Vision and Imaging (7 papers), Face recognition and analysis (6 papers) and Human Pose and Action Recognition (6 papers). Shih-En Wei is often cited by papers focused on Advanced Vision and Imaging (7 papers), Face recognition and analysis (6 papers) and Human Pose and Action Recognition (6 papers). Shih-En Wei collaborates with scholars based in United States, Israel and Taiwan. Shih-En Wei's co-authors include Tomas Simon, Yaser Sheikh, Zhe Cao, Jason Saragih, Stephen Lombardi, Hung‐Yun Hsieh, Ye Yuan, Kris Kitani, Shunsuke Saito and Dawei Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.

In The Last Decade

Co-authorship network of co-authors of Shih-En Wei i

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Fields of papers citing papers by Shih-En Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shih-En Wei

Since Specialization

Citations

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