Jun Liu

307 papers and 5.6k indexed citations i.

About

Jun Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Jun Liu has authored 307 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Artificial Intelligence, 80 papers in Computational Theory and Mathematics and 63 papers in Management Science and Operations Research. Recurrent topics in Jun Liu’s work include Multi-Criteria Decision Making (57 papers), Rough Sets and Fuzzy Logic (52 papers) and Advanced Algebra and Logic (30 papers). Jun Liu is often cited by papers focused on Multi-Criteria Decision Making (57 papers), Rough Sets and Fuzzy Logic (52 papers) and Advanced Algebra and Logic (30 papers). Jun Liu collaborates with scholars based in China, United Kingdom and Spain. Jun Liu's co-authors include Luis Martı́nez, Jianbo Yang, Hongwei Wang, Jin Wang, H. S. Sii, Da Ruan, Hui Wang, Randall Sadler, Jian-Bo Yang and Dong‐Ling Xu and has published in prestigious journals such as Physical review. B, Condensed matter, Bioinformatics and Administrative Science Quarterly.

In The Last Decade

Co-authorship network of co-authors of Jun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Liu. A scholar is included among the top collaborators of Jun Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Liu. Jun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Jun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Liu

Since Specialization
Citations

This map shows the geographic impact of Jun Liu'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 Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liu 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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2026