Heather Yu

1.0k citations
63 papers · 719 · h-index 14

Impact in

Papers in

Heather Yu

58 papers receiving 675 citations

Peers

Heather Yu
Comparison fields: 5 of 70
  • Computer Networks and Communications 414
  • Computer Vision and Pattern Recognition 282
  • Signal Processing 85
  • Information Systems 103
  • Media Technology 22
Replace Uwe Rauschenbach with:
Uwe Rauschenbach Germany
Ahsan Arefin United States
Venkatesh Tamarapalli India
Weizhan Zhang China
Han Xiao China
Jeff Morgan United States
S. V. Raghavan India
John Schettino United States
Mohammed Alreshoodi Saudi Arabia
Mikel Zorrilla Spain
Heather Yu relative to Uwe Rauschenbach Germany Uwe Rauschenbach's profile →
Citations per field
00.5×10×20×28×
Uwe Rauschenbach · 1×
Citations per year

Countries citing papers authored by Heather Yu

Since Specialization
Citations

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

Fields of papers citing papers by Heather Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Heather 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 Heather Yu Line = papers co-authored together Heather Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009127
2 2010110
3 201439
4 200739
5 201239
6 201835
7 201425
8 201123
9 200220
10 200716
11 200916
12 201016
13 200714
14 201114
15 201113
16 201812
17 200811
18 201411
19 20159
20 20158

About Heather Yu

Heather Yu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Media Technology, Sociology and Political Science and Signal Processing, having authored 63 papers that have together received 719 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (17 papers), Caching and Content Delivery (14 papers), Advanced Steganography and Watermarking Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (7 papers), Image and Video Quality Assessment (7 papers), Multimedia Communication and Technology (6 papers) and Visual Attention and Saliency Detection (5 papers). The work is most often cited by research in Computer Networks and Communications (414 citations), Computer Vision and Pattern Recognition (282 citations), Signal Processing (85 citations), Information Systems (103 citations) and Media Technology (22 citations). Heather Yu has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include John Buford, Eng Keong Lua, Dongqing Zhang, Xuemin Shen, Mingquan Wu, Chang Wen Chen, Nirwan Ansari, Tao Han, Yu Huang and Madjid Merabti. Their work appears in journals such as IEEE Multimedia, IEEE Communications Magazine, IEEE Communications Surveys & Tutorials, IEEE Transactions on Circuits and Systems for Video Technology and Multimedia Tools and Applications.

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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