Yaoliang Yu

About

Yaoliang Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Yaoliang Yu has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Computational Mechanics. Recurrent topics in Yaoliang Yu’s work include Sparse and Compressive Sensing Techniques (13 papers), Stochastic Gradient Optimization Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Yaoliang Yu is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Stochastic Gradient Optimization Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Yaoliang Yu collaborates with scholars based in Canada, United States and Australia. Yaoliang Yu's co-authors include Eric P. Xing, Yi Yang, Xiaojun Chang, Dale Schuurmans, Xinhua Zhang, Martha White, Jaejun Lee, Ji Xin, Jimmy Lin and Raphael Tang and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Yaoliang Yu i

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Fields of papers citing papers by Yaoliang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yaoliang Yu

Since Specialization

Citations

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