Tie‐Yan Liu

152 papers and 8.9k indexed citations
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About

Tie‐Yan Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Tie‐Yan Liu has authored 152 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 24 papers in Management Science and Operations Research. Recurrent topics in Tie‐Yan Liu’s work include Topic Modeling (28 papers), Natural Language Processing Techniques (26 papers) and Auction Theory and Applications (19 papers). Tie‐Yan Liu is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (26 papers) and Auction Theory and Applications (19 papers). Tie‐Yan Liu collaborates with scholars based in China, United States and United Kingdom. Tie‐Yan Liu's co-authors include Wei Chen, Taifeng Wang, Qi Meng, Weidong Ma, Guolin Ke, Thomas Finley, Qiwei Ye, Tao Qin, Bin Gao and Fei Tian and has published in prestigious journals such as Nature, The Journal of Chemical Physics and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Tie‐Yan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tie‐Yan Liu. A scholar is included among the top collaborators of Tie‐Yan 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 Tie‐Yan Liu. Tie‐Yan 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 Tie‐Yan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tie‐Yan Liu

Since Specialization
Citations

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