Shuai Yang

36 papers and 282 indexed citations i.

About

Shuai Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Shuai Yang has authored 36 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Theory and Mathematics. Recurrent topics in Shuai Yang’s work include Domain Adaptation and Few-Shot Learning (9 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Multimodal Machine Learning Applications (4 papers). Shuai Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Multimodal Machine Learning Applications (4 papers). Shuai Yang collaborates with scholars based in China, United States and Australia. Shuai Yang's co-authors include Kui Yu, Fuyuan Cao, Hao Wang, Peipei Li, Yuhong Zhang, Xuegang Hu, Xindong Wu, Yi Zhu, Hao Wang and Guanghui Zhang and has published in prestigious journals such as Scientific Reports, Water Resources Research and Journal of Hydrology.

In The Last Decade

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

Fields of papers citing papers by Shuai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuai Yang

Since Specialization
Citations

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