Enge Song

34 total papers · 461 total citations
24 papers, 279 citations indexed

About

Enge Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Enge Song has authored 24 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 7 papers in Information Systems. Recurrent topics in Enge Song's work include Software-Defined Networks and 5G (18 papers), Advanced Optical Network Technologies (9 papers) and Cloud Computing and Resource Management (7 papers). Enge Song is often cited by papers focused on Software-Defined Networks and 5G (18 papers), Advanced Optical Network Technologies (9 papers) and Cloud Computing and Resource Management (7 papers). Enge Song collaborates with scholars based in China, United States and Australia. Enge Song's co-authors include Tian Pan, Tao Huang, Yunjie Liu, Chenhao Jia, Xingchen Lin, Jiao Zhang, Bin Liu, Jiao Zhang, Jianyuan Lu and Cheng Xu and has published in prestigious journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Parallel and Distributed Systems and IET Communications.

In The Last Decade

Enge Song

23 papers receiving 275 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Enge Song 250 124 44 26 20 24 279
Michael Georgiades 220 0.9× 136 1.1× 29 0.7× 26 1.0× 12 0.6× 33 259
Bill St. Arnaud 208 0.8× 200 1.6× 74 1.7× 11 0.4× 9 0.5× 18 330
Andrzej Kamisiński 307 1.2× 150 1.2× 36 0.8× 32 1.2× 6 0.3× 18 330
Xiongyan Tang 145 0.6× 143 1.2× 56 1.3× 29 1.1× 24 1.2× 36 269
Pedro A. Aranda Gutiérrez 268 1.1× 103 0.8× 34 0.8× 26 1.0× 10 0.5× 29 288
Liu Yan 124 0.5× 203 1.6× 47 1.1× 33 1.3× 21 1.1× 22 308
Jyotsna Sengupta 135 0.5× 98 0.8× 26 0.6× 38 1.5× 8 0.4× 27 201
Aloizio P. Silva 215 0.9× 109 0.9× 19 0.4× 20 0.8× 22 1.1× 18 267
Josep Martrat 138 0.6× 54 0.4× 52 1.2× 17 0.7× 29 1.4× 19 183
Vincenzo Riccobene 273 1.1× 132 1.1× 60 1.4× 12 0.5× 13 0.7× 18 298

Countries citing papers authored by Enge Song

Since Specialization
Citations

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

Fields of papers citing papers by Enge Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enge Song

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

All Works

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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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