Sha Xin Wei

About

Sha Xin Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Sha Xin Wei has authored 10 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Sha Xin Wei’s work include Music Technology and Sound Studies (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Video Surveillance and Tracking Methods (2 papers). Sha Xin Wei is often cited by papers focused on Music Technology and Sound Studies (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Video Surveillance and Tracking Methods (2 papers). Sha Xin Wei collaborates with scholars based in United States and China. Sha Xin Wei's co-authors include James Z. Wang, Oscar Firschein, Gio Wiederhold, Hua Yang, Hang Su, Shibao Zheng, David Gauthier, Marcelo M. Wanderley and Zhi Wang and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Multimedia Tools and Applications and Bio-Medical Materials and Engineering.

In The Last Decade

Co-authorship network of co-authors of Sha Xin Wei i

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Fields of papers citing papers by Sha Xin Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sha Xin 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 Sha Xin Wei. The network helps show where Sha Xin Wei may publish in the future.

Countries citing papers authored by Sha Xin Wei

Since Specialization

Citations

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