Mei Yu

8.9k citations
212 papers · 4.6k indexed · 1 hit paper · h-index 33

Mei Yu

202 papers receiving 4.5k citations

Hit Papers

Brain-wide pathway for waste clearance captured by contra...8362013202620172021250500750

Peers

Mei Yu
Comparison fields: 5 of 163
  • Computer Vision and Pattern Recognition 1.5k
  • Media Technology 567
  • Cellular and Molecular Neuroscience 916
  • Neurology 545
  • Immunology 697
Replace Carlos Ortíz-de-Solórzano with:
Carlos Ortíz-de-Solórzano Spain
Polina Golland United States
Axel Behrens United Kingdom
Eric A. Swanson United States
Ola Friman Sweden
Jiani Hu China
Thouis R. Jones United States
Christine A. Curcio United States
Peter W. Hamilton United Kingdom
Douglas A. Gray Australia
Mei Yu relative to Carlos Ortíz-de-Solórzano Spain Carlos Ortíz-de-Solórzano's profile →
Citations per field
00.5×5.1×
Carlos Ortíz-de-Solórzano · 1×
Citations per year

Countries citing papers authored by Mei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Mei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mei Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mei Yu Line = papers co-authored together Mei Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20231
4 20234
5 202113
6 202031
7 202013
8 202039
9 20198
10 201835
11 20171
12
Video quality assessment combining with human visual gaze characteristics
20161
13 20151
14 2015303
15
Brain-wide pathway for waste clearance captured by contrast-enhanced MRIbreakdown →
2013836
16 2012187
17 2012190
18 2010102
19
New view generation method for free-viewpoint video system
20083
20
View Generation for User Centered Free Viewpoint Video System
20070

About Mei Yu

Mei Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 212 papers that have together received 4.6k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (72 papers), Advanced Vision and Imaging (53 papers), Advanced Image Processing Techniques (38 papers), Image Enhancement Techniques (34 papers), Advanced Image Fusion Techniques (30 papers), Video Coding and Compression Technologies (22 papers), Advanced Steganography and Watermarking Techniques (21 papers) and Visual Attention and Saliency Detection (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Media Technology (567 citations) and Cellular and Molecular Neuroscience (916 citations). Mei Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Gangyi Jiang, Helene Benveniste, Feng Tian, Jean Logan, Hedok Lee, Jeffrey J. Iliff, Maiken Nedergaard, Zongju Peng, Feng Shao and Demin Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.

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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