Xiao Su

657 total citations
43 papers, 445 citations indexed

About

Xiao Su is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xiao Su has authored 43 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 17 papers in Computer Vision and Pattern Recognition and 17 papers in Signal Processing. Recurrent topics in Xiao Su's work include Video Coding and Compression Technologies (15 papers), Peer-to-Peer Network Technologies (13 papers) and Caching and Content Delivery (11 papers). Xiao Su is often cited by papers focused on Video Coding and Compression Technologies (15 papers), Peer-to-Peer Network Technologies (13 papers) and Caching and Content Delivery (11 papers). Xiao Su collaborates with scholars based in United States, Switzerland and Hong Kong. Xiao Su's co-authors include Benjamin W. Wah, Yan Bai, Haohong Wang, Guan‐Ming Su, Mea Wang, Athanasios V. Vasilakos, Bharat Bhargava, Tao Wang, Shen Luo and Yong Chen and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Journal of Statistical Software and Computer Networks.

In The Last Decade

Xiao Su

37 papers receiving 409 citations

Peers

Xiao Su
Comparison fields: 5 of 57
  • Computer Networks and Communications 299
  • Signal Processing 175
  • Computer Vision and Pattern Recognition 163
  • Artificial Intelligence 100
  • Electrical and Electronic Engineering 81
Replace O. Verscheure with:
O. Verscheure United States
Laura Gheorghe Romania
Behzad Akbari Iran
Ke Shen United States
S. V. Raghavan India
Qi He United States
Ali Miri Canada
Min Qin United States
An Chan United States
O. Verscheure United States View profile →
Citations per field, relative to Xiao Su
Xiao Su · 1×
Citations per year, relative to Xiao Su
Xiao Su · 1×

Countries citing papers authored by Xiao Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Su. A scholar is included among the top collaborators of Xiao Su 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 Xiao Su. Xiao Su 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
# Work Indexed citations
1 6
2 4
3
A Study of Privacy Control in eHealth 2.0
1
4 27
5 2
6 18
7 13
8 2
9 1
10 17
11 8
12 14
13 2
14 5
15 3
16 1
17 7
18 2
19 103
20 1

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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