Shangling Jui

19 papers and 464 indexed citations i.

About

Shangling Jui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Shangling Jui has authored 19 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Shangling Jui’s work include Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Neural Network Applications (4 papers). Shangling Jui is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Neural Network Applications (4 papers). Shangling Jui collaborates with scholars based in China, Spain and Canada. Shangling Jui's co-authors include Luis Herranz, Joost van de Weijer, Shiqi Yang, Yaxing Wang, Xialei Liu, Kai Wang, Yongmei Cheng, Lu Yu, Bartłomiej Twardowski and Bogdan Raducanu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Shangling Jui i

Fields of papers citing papers by Shangling Jui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shangling Jui. 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 Shangling Jui. The network helps show where Shangling Jui may publish in the future.

Countries citing papers authored by Shangling Jui

Since Specialization
Citations

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