Yu-Siang Wang

10 papers and 225 indexed citations i.

About

Yu-Siang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Emergency Medicine. According to data from OpenAlex, Yu-Siang Wang has authored 10 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Emergency Medicine. Recurrent topics in Yu-Siang Wang’s work include Multimodal Machine Learning Applications (5 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (4 papers). Yu-Siang Wang is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (4 papers). Yu-Siang Wang collaborates with scholars based in Taiwan, United States and Canada. Yu-Siang Wang's co-authors include Alan Yuille, Xiaohui Zeng, Winston H. Hsu, Chenxi Liu, Chenxi Liu, Lingxi Xie, Chi–Keung Tang, Ya-Liang Chang, Ju-Chieh Chou and Weichao Qiu and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Resuscitation and Journal of Biomedical Informatics.

In The Last Decade

Co-authorship network of co-authors of Yu-Siang Wang i

Fields of papers citing papers by Yu-Siang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Siang Wang. 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 Yu-Siang Wang. The network helps show where Yu-Siang Wang may publish in the future.

Countries citing papers authored by Yu-Siang Wang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025