Song Guo

591 papers and 14.9k indexed citations i.

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 591 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 380 papers in Computer Networks and Communications, 161 papers in Electrical and Electronic Engineering and 131 papers in Artificial Intelligence. Recurrent topics in Song Guo’s work include IoT and Edge/Fog Computing (132 papers), Caching and Content Delivery (83 papers) and Privacy-Preserving Technologies in Data (77 papers). Song Guo is often cited by papers focused on IoT and Edge/Fog Computing (132 papers), Caching and Content Delivery (83 papers) and Privacy-Preserving Technologies in Data (77 papers). Song Guo collaborates with scholars based in China, Hong Kong and Japan. Song Guo's co-authors include Deze Zeng, Kun Wang, Peng Li, Huawei Huang, Jinsong Wu, Yong Xiang, Lin Gu, Shui Yu, Yufeng Zhan and Xiaojie Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.

In The Last Decade

Co-authorship network of co-authors of Song Guo i

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.

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).

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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2025