Ming-Hsuan Yang

28 total papers · 665 total citations
5 papers, 104 citations indexed

About

Ming-Hsuan Yang is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ming-Hsuan Yang has authored 5 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Information Systems and 1 paper in Artificial Intelligence. Recurrent topics in Ming-Hsuan Yang's work include Video Surveillance and Tracking Methods (1 paper), Video Analysis and Summarization (1 paper) and Advanced Image Processing Techniques (1 paper). Ming-Hsuan Yang is often cited by papers focused on Video Surveillance and Tracking Methods (1 paper), Video Analysis and Summarization (1 paper) and Advanced Image Processing Techniques (1 paper). Ming-Hsuan Yang collaborates with scholars based in United States, China and Hong Kong. Ming-Hsuan Yang's co-authors include Wenli Xu, Feng Chen, Yuwei Fang, Sergey Tulyakov, Hsin-Ying Lee, Willi Menapace, Aliaksandr Siarohin, Jae Gil Lee, Hwanjun Song and Qi Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Ming-Hsuan Yang

3 papers receiving 100 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming-Hsuan Yang 89 20 11 11 10 5 104
Sri-Kaushik Pavani 67 0.8× 12 0.6× 10 0.9× 14 1.3× 6 0.6× 7 98
Ilchae Jung 70 0.8× 16 0.8× 28 2.5× 6 0.5× 10 1.0× 3 119
Gyuri Dorkó 99 1.1× 24 1.2× 20 1.8× 15 1.4× 4 0.4× 5 110
Rodney LaLonde 124 1.4× 30 1.5× 19 1.7× 11 1.0× 9 0.9× 7 146
Katrin Honauer 103 1.2× 16 0.8× 13 1.2× 21 1.9× 5 0.5× 3 120
Shenyuan Gao 94 1.1× 29 1.4× 21 1.9× 8 0.7× 16 1.6× 3 127
Severin Stalder 173 1.9× 36 1.8× 25 2.3× 6 0.5× 15 1.5× 5 192
Kangkai Zhang 81 0.9× 8 0.4× 40 3.6× 8 0.7× 4 0.4× 6 121
Andrés Solís Montero 102 1.1× 52 2.6× 5 0.5× 4 0.4× 20 2.0× 7 125
Jiyeoup Jeong 145 1.6× 34 1.7× 17 1.5× 9 0.8× 11 1.1× 6 165

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Hsuan Yang. A scholar is included among the top collaborators of Ming-Hsuan Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming-Hsuan Yang. Ming-Hsuan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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