Liu Liu

48 papers and 442 indexed citations i.

About

Liu Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Liu Liu has authored 48 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Networks and Communications. Recurrent topics in Liu Liu’s work include Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Graph Neural Networks (4 papers). Liu Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (11 papers) and Advanced Graph Neural Networks (4 papers). Liu Liu collaborates with scholars based in China, Australia and Hong Kong. Liu Liu's co-authors include Fuqiang Zhou, Dacheng Tao, Yuzhu He, He Gao, Yexin Wang, Fusheng Hao, Jun Cheng, Yibing Zhan, Dong Xu and Baosheng Yu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

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

Fields of papers citing papers by Liu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liu Liu

Since Specialization
Citations

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