Fei Song

1.5k total citations
71 papers, 1.1k citations indexed

About

Fei Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Fei Song has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 23 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Fei Song's work include Caching and Content Delivery (15 papers), Software-Defined Networks and 5G (14 papers) and Network Traffic and Congestion Control (14 papers). Fei Song is often cited by papers focused on Caching and Content Delivery (15 papers), Software-Defined Networks and 5G (14 papers) and Network Traffic and Congestion Control (14 papers). Fei Song collaborates with scholars based in China, South Korea and United Kingdom. Fei Song's co-authors include Ilsun You, Hongke Zhang, Yutong Zhou, Mingqiang Zhu, Jie Li, Xin Xiao, Min Zhu, Yujiao Zeng, Styliani Avraamidou and Efstratios N. Pistikopoulos and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Fei Song

53 papers receiving 1.1k citations

Peers

Fei Song
Comparison fields: 5 of 78
  • Computer Networks and Communications 687
  • Electrical and Electronic Engineering 352
  • Information Systems 223
  • Artificial Intelligence 157
  • Water Science and Technology 105
Replace Amrit Mukherjee with:
Amrit Mukherjee India
Bilal Jan Pakistan
Biplob Ray Australia
Andrea Vinci Italy
Lin Gui China
Kim Khoa Nguyen Canada
Dawei Li United States
Khmaies Ouahada South Africa
Rachid Saadane Morocco
Amrit Mukherjee India View profile →
Citations per field, relative to Fei Song
Fei Song · 1×
Citations per year, relative to Fei Song
Fei Song · 1×

Countries citing papers authored by Fei Song

Since Specialization
Citations

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

Fields of papers citing papers by Fei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Song. A scholar is included among the top collaborators of Fei Song 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 Fei Song. Fei Song 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 6
3 0
4 2
5 0
6 5
7 24
8 16
9 112
10 73
11 149
12 59
13 59
14 1
15 0
16 0
17
Research on Social Network Oriented Intelligent Communication Platform
1
18 2
19 0
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026