Tie Liu

7 papers and 292 indexed citations i.

About

Tie Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Tie Liu has authored 7 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 1 paper in Media Technology. Recurrent topics in Tie Liu’s work include Advanced Image Processing Techniques (4 papers), Face recognition and analysis (3 papers) and Image and Video Quality Assessment (3 papers). Tie Liu is often cited by papers focused on Advanced Image Processing Techniques (4 papers), Face recognition and analysis (3 papers) and Image and Video Quality Assessment (3 papers). Tie Liu collaborates with scholars based in China and United Kingdom. Tie Liu's co-authors include Mai Xu, Ren Yang, Zulin Wang, Zhenyu Guan, Qunliang Xing, Zhuhong Shao, Yuanyuan Shang, Li Yang, Hui Ding and Liangyu Huo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

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

Fields of papers citing papers by Tie Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tie Liu

Since Specialization
Citations

This map shows the geographic impact of Tie 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 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 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