Erkun Yang

27 papers and 961 indexed citations i.

About

Erkun Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Erkun Yang has authored 27 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Erkun Yang’s work include Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Erkun Yang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Erkun Yang collaborates with scholars based in China, United States and Australia. Erkun Yang's co-authors include Cheng Deng, Dacheng Tao, Wei Liu, Tongliang Liu, Xianglong Liu, Xinbo Gao, Pew‐Thian Yap, Mingxia Liu, Dinggang Shen and Jie Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

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

Fields of papers citing papers by Erkun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Erkun Yang

Since Specialization
Citations

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