Jun Xu

210 papers and 3.4k indexed citations i.

About

Jun Xu is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Jun Xu has authored 210 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Artificial Intelligence, 55 papers in Information Systems and 30 papers in Molecular Biology. Recurrent topics in Jun Xu’s work include Topic Modeling (55 papers), Recommender Systems and Techniques (33 papers) and Natural Language Processing Techniques (28 papers). Jun Xu is often cited by papers focused on Topic Modeling (55 papers), Recommender Systems and Techniques (33 papers) and Natural Language Processing Techniques (28 papers). Jun Xu collaborates with scholars based in China, United States and Australia. Jun Xu's co-authors include Xueqi Cheng, Jiafeng Guo, Yanyan Lan, Mohammed Quaddus, Peter Glick, Susan T. Fiske, Amy J. C. Cuddy, Hang Li, Shengxian Wan and Hua Xu and has published in prestigious journals such as Journal of Personality and Social Psychology, Nature Communications and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Jun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Xu

Since Specialization
Citations

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