Quan Liu

80 papers and 937 indexed citations i.

About

Quan Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Quan Liu has authored 80 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 10 papers in Information Systems. Recurrent topics in Quan Liu’s work include Reinforcement Learning in Robotics (21 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (13 papers). Quan Liu is often cited by papers focused on Reinforcement Learning in Robotics (21 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (13 papers). Quan Liu collaborates with scholars based in China, Canada and United States. Quan Liu's co-authors include Fei Zhu, Bairong Shen, Fei Ye, Zhen-Hua Ling, Jia-Chen Gu, Xiaodan Zhu, Si Wei, Yuchen Fu, Jian‐Ping Lang and Tianda Li and has published in prestigious journals such as Chemical Communications, Scientific Reports and Inorganic Chemistry.

In The Last Decade

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

Fields of papers citing papers by Quan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Quan Liu

Since Specialization
Citations

This map shows the geographic impact of Quan 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 Quan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan 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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2025