Can Xu

30 papers and 310 indexed citations i.

About

Can Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Can Xu has authored 30 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in Can Xu’s work include Topic Modeling (19 papers), Natural Language Processing Techniques (15 papers) and Speech and dialogue systems (10 papers). Can Xu is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (15 papers) and Speech and dialogue systems (10 papers). Can Xu collaborates with scholars based in China, United Kingdom and Hong Kong. Can Xu's co-authors include Wei Wu, Chongyang Tao, Xueliang Zhao, Dongyan Zhao, Rui Yan, Zhoujun Li, Daxin Jiang, Yu Wu, Yufan Zhao and Xiubo Geng and has published in prestigious journals such as Food and Chemical Toxicology, Remote Sensing and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Can Xu i

Fields of papers citing papers by Can Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Can Xu

Since Specialization
Citations

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