Shaoxuan Wang

613 total citations
16 papers, 413 citations indexed

About

Shaoxuan Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Shaoxuan Wang has authored 16 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Shaoxuan Wang's work include Peer-to-Peer Network Technologies (7 papers), Image and Video Quality Assessment (7 papers) and Caching and Content Delivery (4 papers). Shaoxuan Wang is often cited by papers focused on Peer-to-Peer Network Technologies (7 papers), Image and Video Quality Assessment (7 papers) and Caching and Content Delivery (4 papers). Shaoxuan Wang collaborates with scholars based in United States, Spain and Uruguay. Shaoxuan Wang's co-authors include Sujit Dey, Yao Liu, R. Ferrús, Yao Lu, Xiao Zhang, Marc Ruiz, Luis Velasco, Matías Richart, Kai Wang and Alberto Castro and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Multimedia.

In The Last Decade

Shaoxuan Wang

14 papers receiving 399 citations

Peers

Shaoxuan Wang
Comparison fields: 5 of 39
  • Computer Networks and Communications 244
  • Computer Vision and Pattern Recognition 225
  • Information Systems 110
  • Electrical and Electronic Engineering 83
  • Hardware and Architecture 77
Replace Ningwei Dai with:
Ningwei Dai China
Daniel Schlosser Germany
Shu Shi United States
Anand Bhojan Singapore
Mengbai Xiao United States
Matthew Broadbent United Kingdom
S. V. Raghavan India
Pravein Govindan Kannan Singapore
Ricardo A. Baratto United States
Ningwei Dai China View profile →
Citations per field, relative to Shaoxuan Wang
Shaoxuan Wang · 1×
Citations per year, relative to Shaoxuan Wang
Shaoxuan Wang · 1×

Countries citing papers authored by Shaoxuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoxuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoxuan Wang

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 8
6 1
7 2
8 15
9 134
10 15
11 18
12 44
13 9
14 70
15 19
16 76

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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