Heather Yu

839 citations
48 papers · 521 · h-index 13

Impact in

Papers in

Heather Yu

46 papers receiving 487 citations

Peers

Heather Yu
Comparison fields: 5 of 57
  • Computer Networks and Communications 274
  • Computer Vision and Pattern Recognition 244
  • Signal Processing 72
  • Information Systems 61
  • Media Technology 20
Replace Arani Bhattacharya with:
Arani Bhattacharya United States
Ahsan Arefin United States
Shaoxuan Wang United States
Han Xiao China
Zixia Huang United States
Ningwei Dai China
Igor D. D. Curcio Finland
Simone Mangiante United Kingdom
Ketan Mayer‐Patel United States
Chang Ge United Kingdom
Heather Yu relative to Arani Bhattacharya United States Arani Bhattacharya's profile →
Citations per field
00.5×7.2×
Arani Bhattacharya · 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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009104
2 201238
3 201438
4 200733
5 201833
6 201424
7 201121
8 200219
9 201015
10 200714
11 201114
12 201112
13 200712
14 201812
15 200810
16 201410
17 20159
18 20128
19 20138
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 48 papers that have together received 521 indexed citations. Recurring topics across this work include Caching and Content Delivery (10 papers), Peer-to-Peer Network Technologies (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Image and Video Quality Assessment (7 papers), Advanced Vision and Imaging (7 papers), Multimedia Communication and Technology (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Visual Attention and Saliency Detection (5 papers). The work is most often cited by research in Computer Networks and Communications (274 citations), Computer Vision and Pattern Recognition (244 citations), Signal Processing (72 citations), Information Systems (61 citations) and Media Technology (20 citations). Heather Yu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include John Buford, Eng Keong Lua, Dongqing Zhang, Mingquan Wu, Chang Wen Chen, Nirwan Ansari, Yu Huang, Tao Han, Madjid Merabti and Dapeng Wu. Their work appears in journals such as IEEE Communications Magazine, IEEE Communications Surveys & Tutorials, IEEE Multimedia, IEEE Transactions on Mobile Computing and IEEE Transactions on Circuits and Systems for Video 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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