Ming-Hsuan Yang

668 total citations
5 papers, 106 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 106 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 Digital and Cyber Forensics (1 paper), Image and Signal Denoising Methods (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Ming-Hsuan Yang is often cited by papers focused on Digital and Cyber Forensics (1 paper), Image and Signal Denoising Methods (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Ming-Hsuan Yang collaborates with scholars based in United States, China and Hong Kong. Ming-Hsuan Yang's co-authors include Feng Chen, Wenli Xu, Hsin-Ying Lee, Aliaksandr Siarohin, Willi Menapace, Yuwei Fang, Sergey Tulyakov, Qi Li, Yuyan Zhou and Eunyoung Kim 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 102 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming-Hsuan Yang United States 2 92 20 12 11 10 5 106
Daniela Hall France 7 109 1.2× 20 1.0× 20 1.7× 14 1.3× 9 0.9× 10 132
Sri-Kaushik Pavani Spain 4 67 0.7× 12 0.6× 10 0.8× 14 1.3× 6 0.6× 7 98
Dariusz Frejlichowski Poland 5 64 0.7× 5 0.3× 22 1.8× 7 0.6× 15 1.5× 26 88
Katrin Honauer Germany 3 105 1.1× 16 0.8× 13 1.1× 21 1.9× 5 0.5× 3 122
Shenyuan Gao Hong Kong 2 99 1.1× 32 1.6× 21 1.8× 9 0.8× 17 1.7× 3 135
Gyuri Dorkó France 3 99 1.1× 24 1.2× 20 1.7× 15 1.4× 4 0.4× 5 110
Kangkai Zhang China 5 83 0.9× 8 0.4× 41 3.4× 8 0.7× 4 0.4× 6 124
Hasan Sarıbaş Türkiye 6 55 0.6× 28 1.4× 22 1.8× 7 0.6× 8 0.8× 21 99
Bedirhan Uzun Türkiye 4 38 0.4× 13 0.7× 16 1.3× 3 0.3× 6 0.6× 7 58
Daniel Soukup Austria 7 54 0.6× 6 0.3× 11 0.9× 21 1.9× 3 0.3× 16 78

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

5 of 5 papers shown
1.
Jiang, Fangling, Qi Li, Bing Liu, et al.. (2025). Learning Knowledge-Based Prompts for Robust 3D Mask Presentation Attack Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(2). 1321–1338.
2.
Xin, Lin, et al.. (2025). Re-Boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 9827–9844.
3.
Siarohin, Aliaksandr, Willi Menapace, Yuwei Fang, et al.. (2024). Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers. 13320–13331. 19 indexed citations
4.
Song, Hwanjun, et al.. (2021). Exploiting Scene Depth for Object Detection with Multimodal Transformers. 1 indexed citations
5.
Chen, Feng, et al.. (2012). Object Tracking via Partial Least Squares Analysis. IEEE Transactions on Image Processing. 21(10). 4454–4465. 86 indexed citations

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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