Linlin Liu

20 papers and 515 indexed citations i.

About

Linlin Liu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Linlin Liu has authored 20 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 3 papers in Cognitive Neuroscience. Recurrent topics in Linlin Liu’s work include Generative Adversarial Networks and Image Synthesis (12 papers), 3D Shape Modeling and Analysis (7 papers) and Face recognition and analysis (6 papers). Linlin Liu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (12 papers), 3D Shape Modeling and Analysis (7 papers) and Face recognition and analysis (6 papers). Linlin Liu collaborates with scholars based in China, Hong Kong and Singapore. Linlin Liu's co-authors include Haijun Zhang, Yuzhu Ji, Xiaofei Xu, Shuicheng Yan, Zhao Zhang, Q. M. Jonathan Wu, Jun Wang, Zhenyuan Guo, Wenyin Liu and Mingshan Sun and has published in prestigious journals such as Chemical Communications, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

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

Fields of papers citing papers by Linlin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linlin Liu

Since Specialization
Citations

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