Ming–Hsuan Yang

455 papers and 37.8k indexed citations i.

About

Ming–Hsuan Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ming–Hsuan Yang has authored 455 papers receiving a total of 37.8k indexed citations (citations by other indexed papers that have themselves been cited), including 353 papers in Computer Vision and Pattern Recognition, 89 papers in Artificial Intelligence and 40 papers in Media Technology. Recurrent topics in Ming–Hsuan Yang’s work include Video Surveillance and Tracking Methods (113 papers), Advanced Vision and Imaging (90 papers) and Advanced Image Processing Techniques (88 papers). Ming–Hsuan Yang is often cited by papers focused on Video Surveillance and Tracking Methods (113 papers), Advanced Vision and Imaging (90 papers) and Advanced Image Processing Techniques (88 papers). Ming–Hsuan Yang collaborates with scholars based in United States, China and South Korea. Ming–Hsuan Yang's co-authors include Jongwoo Lim, Huchuan Lu, Yi Wu, Xiang Ruan, Lihe Zhang, Ruei-Sung Lin, David A. Ross, Serge Belongie, Jinshan Pan and Narendra Ahuja and has published in prestigious journals such as The Plant Cell, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Ming–Hsuan Yang i

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Fields of papers citing papers by Ming–Hsuan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming–Hsuan Yang

Since Specialization

Citations

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