Haoyuan Mu

2.1k citations
3 papers · 650 indexed · 2 hit papers · h-index 3
Topics
Advanced Neural Network Applications (2 papers)Domain Adaptation and Few-Shot Learning (2 papers)Advanced Vision and Imaging (1 paper)
Journals
Rare & Special e-Zone (The Hong Kong University of Science and Technology)

In The Last Decade

Haoyuan Mu

3 papers receiving 642 citations

Hit Papers

Meta-SR: A Magnification-Arbitrary Network for Super-Reso...201920262021202320192019100200300

Peers

Haoyuan Mu
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 553
  • Artificial Intelligence 221
  • Media Technology 185
  • Computational Mechanics 29
  • Radiology, Nuclear Medicine and Imaging 28
Replace Boyun Li with:
Boyun Li China
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Dillon Sharlet United States
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Faouzi Ghorbel Tunisia
Samuel Schulter United States
Zichao Guo China
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Haoyuan Mu relative to Boyun Li China Boyun Li's profile →
Citations per field
00.5×10×15×19×
Boyun Li · 1×
Citations per year

Countries citing papers authored by Haoyuan Mu

Since Specialization
Citations

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

Fields of papers citing papers by Haoyuan Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyuan Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Haoyuan Mu. A scholar is included among the top collaborators of Haoyuan Mu 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 Haoyuan Mu. Haoyuan Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 4
2
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruningbreakdown →
318
3
Meta-SR: A Magnification-Arbitrary Network for Super-Resolutionbreakdown →
328

About Haoyuan Mu

Haoyuan Mu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 3 papers that have together received 650 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (553 citations), Media Technology (185 citations) and Computational Mathematics (6 citations). Haoyuan Mu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jian Sun, Xiangyu Zhang, Tieniu Tan, Xuecai Hu, Zilei Wang, Kwang‐Ting Cheng, Xin Yang, Zichao Guo, Zechun Liu and Wenjian Yu. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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