Yucen Luo

6 papers and 303 indexed citations i.

About

Yucen Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yucen Luo has authored 6 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Yucen Luo’s work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Yucen Luo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Yucen Luo collaborates with scholars based in China, United States and Germany. Yucen Luo's co-authors include Jun Zhu, Zhijie Deng, Yong Ren, Mengxi Li, Bo Zhang, Jialian Li, Alex Beatson, Mohammad Norouzi, David Duvenaud and Ryan P. Adams and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Yucen Luo i

Fields of papers citing papers by Yucen Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yucen Luo

Since Specialization
Citations

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