Pei Quan

29 papers and 255 indexed citations i.

About

Pei Quan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Pei Quan has authored 29 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Pei Quan’s work include Advanced Graph Neural Networks (9 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Pei Quan is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Pei Quan collaborates with scholars based in China, United States and United Kingdom. Pei Quan's co-authors include Yong Shi, Minglong Lei, Tianlin Zhang, Lingfeng Niu, Jiaxu Leng, Yi Qu, Ying Liu, Yang Xiao, Dawei Du and Wei Zhao and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Geoscience and Remote Sensing and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Pei Quan i

Fields of papers citing papers by Pei Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pei Quan

Since Specialization
Citations

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