Xinlei Chen

8 papers and 4.6k indexed citations i.

About

Xinlei Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Xinlei Chen has authored 8 papers receiving a total of 4.6k 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 Aerospace Engineering. Recurrent topics in Xinlei Chen’s work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Multimodal Machine Learning Applications (2 papers). Xinlei Chen is often cited by papers focused on Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Multimodal Machine Learning Applications (2 papers). Xinlei Chen collaborates with scholars based in Israel, China and United States. Xinlei Chen's co-authors include Kaiming He, Piotr Dollár, Ross Girshick, Saining Xie, Yanghao Li, Jiwei Li, Eduard Hovy, Dan Jurafsky, Jason J. Corso and Yannis Kalantidis and has published in prestigious journals such as IEEE Transactions on Emerging Topics in Computational Intelligence, Theory and applications of categories and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Xinlei Chen i

Fields of papers citing papers by Xinlei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xinlei Chen

Since Specialization
Citations

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