Shulin Liu

10 papers and 172 indexed citations i.

About

Shulin Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Shulin Liu has authored 10 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Shulin Liu’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Data Quality and Management (2 papers). Shulin Liu is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Data Quality and Management (2 papers). Shulin Liu collaborates with scholars based in China and Canada. Shulin Liu's co-authors include Kang Liu, Jun Zhao, Yubo Chen, Xiang Zhang, Shizhu He, Tao Yang, Jun Zhao, Shengli Sun, Yubo Chen and Guangyou Zhou and has published in prestigious journals such as Medicine, Linear Algebra and its Applications and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

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

Fields of papers citing papers by Shulin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shulin Liu

Since Specialization
Citations

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