Xin Luo

360 papers and 8.2k indexed citations i.

About

Xin Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xin Luo has authored 360 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Artificial Intelligence, 95 papers in Computer Vision and Pattern Recognition and 90 papers in Information Systems. Recurrent topics in Xin Luo’s work include Recommender Systems and Techniques (70 papers), Face and Expression Recognition (55 papers) and Advanced Graph Neural Networks (31 papers). Xin Luo is often cited by papers focused on Recommender Systems and Techniques (70 papers), Face and Expression Recognition (55 papers) and Advanced Graph Neural Networks (31 papers). Xin Luo collaborates with scholars based in China, United States and Hong Kong. Xin Luo's co-authors include MengChu Zhou, Shuai Li, Yunni Xia, Qingsheng Zhu, Mingsheng Shang, Long Jin, Di Wu, Zhu‐Hong You, Zidong Wang and Zhigang Liu and has published in prestigious journals such as Cell, Nature Communications and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Xin Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xin Luo

Since Specialization
Citations

This map shows the geographic impact of Xin 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 Xin Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin 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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2025