Xiugang Wu

30 papers receiving 251 citations

Peers

Xiugang Wu
Comparison fields: 5 of 39
  • Electrical and Electronic Engineering 200
  • Computer Networks and Communications 156
  • Computational Theory and Mathematics 51
  • Molecular Biology 23
  • Artificial Intelligence 20
Replace Fabrizio Pollara with:
Fabrizio Pollara United States
Hao Jin Japan
Laura Luzzi France
Yannick Saouter France
Eleni Drinea United States
Kohichi Sakaniwa Japan
Michael Abbott United Kingdom
Sergo Shavgulidze Georgia
M. Rem Netherlands
G. Yuval Israel
Xiugang Wu relative to Fabrizio Pollara United States Fabrizio Pollara's profile →
Citations per field
00.5×
Fabrizio Pollara · 1×
Citations per year

Countries citing papers authored by Xiugang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiugang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiugang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiugang Wu. A scholar is included among the top collaborators of Xiugang 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 Xiugang Wu. Xiugang 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 5
2 5
3 3
4 5
5 16
6 13
7 9
8 8
9 6
10 13
11 2
12 4
13 2
14
On the Optimality of Successive Decoding in Compress-and-Forward Relay Schemes
2
15 2
16 9
17
FINITENESS CONDITIONS FOR GENERALIZED EXPONENTS OF DIGRAPHS
3
18 4
19 10
20 39

About Xiugang Wu

Xiugang Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 31 papers that have together received 263 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (21 papers), Cooperative Communication and Network Coding (19 papers) and Advanced Wireless Communication Technologies (6 papers). The work is most often cited by research in Computer Networks and Communications (156 citations), Electrical and Electronic Engineering (200 citations) and Computational Theory and Mathematics (51 citations). Xiugang Wu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ayfer Özgür, Liang‐Liang Xie, Xia Chen, S.L. Hurst, Shengli Zhang, Massoud Pedram, Franklin Prosser, Jun Shao, Shlomo Shamai and Jong Soo Jung. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and Bulletin of the Australian Mathematical Society.

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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