Yun Yang

148 papers and 2.5k indexed citations i.

About

Yun Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yun Yang has authored 148 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 56 papers in Computer Vision and Pattern Recognition and 15 papers in Molecular Biology. Recurrent topics in Yun Yang’s work include Domain Adaptation and Few-Shot Learning (16 papers), Human Pose and Action Recognition (9 papers) and Face and Expression Recognition (9 papers). Yun Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (16 papers), Human Pose and Action Recognition (9 papers) and Face and Expression Recognition (9 papers). Yun Yang collaborates with scholars based in China, United Kingdom and United States. Yun Yang's co-authors include Po Yang, Jun Qi, Jianmin Jiang, Ke Chen, Jing Liu, Xulong Wang, Zhihan Lv, H. Paul Wang, Yi‐Chi Chien and Kuen‐Song Lin and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and Environmental Science & Technology.

In The Last Decade

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

Fields of papers citing papers by Yun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Yang

Since Specialization
Citations

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