Liu Yang

70 papers and 2.3k indexed citations i.

About

Liu Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Liu Yang has authored 70 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Liu Yang’s work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (6 papers) and Advanced Graph Neural Networks (6 papers). Liu Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (6 papers) and Advanced Graph Neural Networks (6 papers). Liu Yang collaborates with scholars based in China, United States and Hong Kong. Liu Yang's co-authors include Maosong Sun, Zhiyuan Liu, Yankai Lin, Xuan Zhu, Wenguang Liu, Yuan Li, Chuanchuan Fan, Tengling Wu, Ziyang Xu and Xinyu Chen and has published in prestigious journals such as Advanced Functional Materials, Chemical Engineering Journal and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Liu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liu Yang

Since Specialization
Citations

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