Heather Yu
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Information Systems top 10%
- Co-authors
- John BufordEng Keong LuaDongqing ZhangMingquan WuChang Wen ChenNirwan AnsariYu HuangTao Han
- Topics
- Caching and Content Delivery (10 papers)Peer-to-Peer Network Technologies (9 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionSignal Processing
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Heather Yu
46 papers receiving 487 citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 274
- Computer Vision and Pattern Recognition 244
- Electrical and Electronic Engineering 85
- Signal Processing 72
- Information Systems 61
Countries citing papers authored by Heather Yu
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
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-authorship network of co-authors of Heather Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Heather Yu. A scholar is included among the top collaborators of Heather Yu 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 Heather Yu. Heather Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 33 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 104 | |
| 16 | 10 | |
| 17 | 33 | |
| 18 | 5 | |
| 19 | 19 | |
| 20 | Entry into the Content Forest: The Role of Multimedia Portals | 3 |
About Heather Yu
Heather Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications, 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) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Networks and Communications (274 citations), Computer Vision and Pattern Recognition (244 citations) and Signal Processing (72 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 Proceedings of the IEEE, IEEE Communications Surveys & Tutorials and IEEE Communications Magazine.
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.