Ming-Hsuan Yang

About

Ming-Hsuan Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Industrial relations. According to data from OpenAlex, Ming-Hsuan Yang has authored 3 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Ming-Hsuan Yang’s work include Video Analysis and Summarization (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). Ming-Hsuan Yang is often cited by papers focused on Video Analysis and Summarization (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). Ming-Hsuan Yang collaborates with scholars based in United States and China. Ming-Hsuan Yang's co-authors include Feng Chen, Wenli Xu, Jan Kautz, Deqing Sun, Mingyu Liu, Hsin-Ying Lee, Sergey Tulyakov, Aliaksandr Siarohin, Willi Menapace and Yuwei Fang and has published in prestigious journals such as IEEE Transactions on Image Processing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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