Song Guo

30.5k total citations · 15 hit papers
776 papers, 21.6k citations indexed

About

Song Guo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Song Guo has authored 776 papers receiving a total of 21.6k indexed citations (citations by other indexed papers that have themselves been cited), including 512 papers in Computer Networks and Communications, 203 papers in Electrical and Electronic Engineering and 178 papers in Artificial Intelligence. Recurrent topics in Song Guo's work include IoT and Edge/Fog Computing (170 papers), Caching and Content Delivery (111 papers) and Privacy-Preserving Technologies in Data (101 papers). Song Guo is often cited by papers focused on IoT and Edge/Fog Computing (170 papers), Caching and Content Delivery (111 papers) and Privacy-Preserving Technologies in Data (101 papers). Song Guo collaborates with scholars based in China, Hong Kong and Japan. Song Guo's co-authors include Deze Zeng, Peng Li, Kun Wang, Huawei Huang, Jinsong Wu, Yong Xiang, Shui Yu, Lin Gu, Yufeng Zhan and Weifa Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Song Guo

735 papers receiving 21.0k citations

Hit Papers

A Learning-Based Incentive Mechanism for Federa... 2015 2026 2018 2022 2020 2018 2016 2016 2016 100 200 300 400

Peers

Song Guo
Comparison fields: 5 of 190
  • Computer Networks and Communications 13.1k
  • Electrical and Electronic Engineering 6.8k
  • Information Systems 5.6k
  • Artificial Intelligence 5.1k
  • Computer Vision and Pattern Recognition 2.3k
Replace Houbing Song with:
Houbing Song United States
Laurence T. Yang Canada
Naixue Xiong China
Sherali Zeadally United States
Geyong Min United Kingdom
Jiannong Cao Hong Kong
Mianxiong Dong Japan
Xiaojiang Du United States
Choong Seon Hong South Korea
Antonio Iera Italy
Houbing Song United States View profile →
Citations per field, relative to Song Guo
Song Guo · 1×
Citations per year, relative to Song Guo
Song Guo · 1×

Countries citing papers authored by Song Guo

Since Specialization
Citations

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

Fields of papers citing papers by Song Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Song Guo. A scholar is included among the top collaborators of Song 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 Song Guo. Song 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 1
2 10
3 3
4 0
5 9
6 28
7 12
8 3
9 12
10 23
11 2
12 34
13 28
14 10
15 35
16 98
17 31
18 11
19 67
20 140

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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2026