Yunnan Wu

49 papers receiving 3.5k citations

Hit Papers

Network Coding for Distributed Storage Systems20042026201120182010200420112505007501000

Peers

Yunnan Wu
Comparison fields: 5 of 54
  • Computer Networks and Communications 3.5k
  • Electrical and Electronic Engineering 1.5k
  • Artificial Intelligence 421
  • Computational Theory and Mathematics 354
  • Information Systems 237
Replace Shay Kutten with:
Shay Kutten Israel
Christian Scheideler Germany
Ashutosh Rege United States
Harald Räcke United States
Brian Zill United States
Paul D. Amer United States
Luciano Lenzini Italy
D.D. Kandlur United States
Krishan Sabnani United States
Philippe Jacquet France
Yunnan Wu relative to Shay Kutten Israel Shay Kutten's profile →
Citations per field
00.5×4.8×
Shay Kutten · 1×
Citations per year

Countries citing papers authored by Yunnan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yunnan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunnan Wu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 29
4 7
5 69
6 117
7 11
8
Context-based routing: techniques, applications and experience
26
9 6
10 175
11 33
12 41
13 149
14
Information Exchange in Wireless Networks with Network Coding and Physical-layer Broadcastbreakdown →
506
15 1
16
Network Coding for the Internet
8
17 9
18 40
19 22
20 6

About Yunnan Wu

Yunnan Wu is a scholar working on Computer Networks and Communications, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 51 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (28 papers), Wireless Networks and Protocols (11 papers) and Mobile Ad Hoc Networks (10 papers). The work is most often cited by research in Computer Networks and Communications (3.5k citations), Electrical and Electronic Engineering (1.5k citations) and Computational Theory and Mathematics (354 citations). Yunnan Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Alexandros G. Dimakis, Philip A. Chou, Kannan Ramchandran, Sun‐Yuan Kung, Martin J. Wainwright, P. Brighten Godfrey, Ranveer Chandra, Changho Suh, Yuan Yuan and Thomas Moscibroda. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

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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