Muli Yang

12 papers and 314 indexed citations i.

About

Muli Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muli Yang has authored 12 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muli Yang’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Muli Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Muli Yang collaborates with scholars based in China, Australia and Singapore. Muli Yang's co-authors include Cheng Deng, Feiping Nie, Hao Wang, Kun Wei, Xianglong Liu, Dacheng Tao, Xu Yang, Aming Wu, Junchi Yan and Yanhua Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Multimedia.

In The Last Decade

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

Fields of papers citing papers by Muli Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muli Yang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025