Xinyi Xu

About

Xinyi Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Xinyi Xu has authored 12 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Xinyi Xu’s work include Domain Adaptation and Few-Shot Learning (3 papers), Random Matrices and Applications (2 papers) and Complex Network Analysis Techniques (2 papers). Xinyi Xu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Random Matrices and Applications (2 papers) and Complex Network Analysis Techniques (2 papers). Xinyi Xu collaborates with scholars based in China, United States and United Kingdom. Xinyi Xu's co-authors include Robert C. Qiu, Xing He, Qian Ai, Cheng Deng, Yanhua Yang, Lei Chu, Zenan Ling, Ning Qin, B. E. Richards and Shuiwang Ji and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

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

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Fields of papers citing papers by Xinyi Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xinyi Xu

Since Specialization

Citations

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