Shu Liu

74 papers and 3.1k indexed citations i.

About

Shu Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Shu Liu has authored 74 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 11 papers in Computational Mechanics. Recurrent topics in Shu Liu’s work include Advanced Neural Network Applications (17 papers), Domain Adaptation and Few-Shot Learning (14 papers) and 3D Shape Modeling and Analysis (11 papers). Shu Liu is often cited by papers focused on Advanced Neural Network Applications (17 papers), Domain Adaptation and Few-Shot Learning (14 papers) and 3D Shape Modeling and Analysis (11 papers). Shu Liu collaborates with scholars based in China, Hong Kong and United States. Shu Liu's co-authors include Jiaya Jia, Zetong Yang, Yanan Sun, Xiaoyong Shen, Li Jiang, Hengshuang Zhao, Yilun Chen, Jiequan Cui, Chi‐Wing Fu and Zhisheng Zhong and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Shu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shu Liu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025