Shaoyong Guo

3.4k total citations · 1 hit paper
178 papers, 2.3k citations indexed

About

Shaoyong Guo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Shaoyong Guo has authored 178 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Computer Networks and Communications, 68 papers in Electrical and Electronic Engineering and 63 papers in Information Systems. Recurrent topics in Shaoyong Guo's work include IoT and Edge/Fog Computing (49 papers), Blockchain Technology Applications and Security (47 papers) and Software-Defined Networks and 5G (40 papers). Shaoyong Guo is often cited by papers focused on IoT and Edge/Fog Computing (49 papers), Blockchain Technology Applications and Security (47 papers) and Software-Defined Networks and 5G (40 papers). Shaoyong Guo collaborates with scholars based in China, Hong Kong and Switzerland. Shaoyong Guo's co-authors include Xuesong Qiu, Feng Qi, Song Guo, Sujie Shao, Siya Xu, Wenjing Li, Xing Hu, Peng Yu, Lei Feng and Ao Xiong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Shaoyong Guo

157 papers receiving 2.2k citations

Hit Papers

Blockchain Meets Edge Computing: A Distributed and Truste... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Shaoyong Guo
Comparison fields: 5 of 97
  • Computer Networks and Communications 1.3k
  • Information Systems 1.0k
  • Electrical and Electronic Engineering 727
  • Artificial Intelligence 581
  • Control and Systems Engineering 169
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Citations per field, relative to Shaoyong Guo
Shaoyong Guo · 1×
Citations per year, relative to Shaoyong Guo
Shaoyong Guo · 1×

Countries citing papers authored by Shaoyong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoyong Guo. A scholar is included among the top collaborators of Shaoyong Guo 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 Shaoyong Guo. Shaoyong Guo 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 0
2 1
3 0
4 0
5 3
6 12
7 2
8 0
9 5
10 2
11 34
12 99
13 43
14 33
15 98
16 115
17 13
18
Blockchain Meets Edge Computing: A Distributed and Trusted Authentication System breakdown →
236
19 71
20 0

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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