Enge Song

466 citations
24 papers · 284 · h-index 9

Impact in

Papers in

Enge Song

23 papers receiving 280 citations

Peers

Enge Song
Comparison fields: 5 of 25
  • Computer Networks and Communications 251
  • Hardware and Architecture 17
  • Electrical and Electronic Engineering 124
  • Information Systems 44
  • Aerospace Engineering 20
Replace Dávid Jocha with:
Dávid Jocha Hungary
Vincenzo Riccobene Ireland
Jonghwan Hyun South Korea
Susan Hares United States
Mehmet Ulema United States
François Clad United States
Daoyun Hu China
Rupa Krishnan United States
Sugang Xu Japan
Carlos Pignataro United States
Enge Song relative to Dávid Jocha Hungary Dávid Jocha's profile →
Citations per field
00.5×5.9×
Dávid Jocha · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Enge Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Enge Song Line = papers co-authored together Enge Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201987
2 202148
3 202026
4 202121
5 202017
6 202115
7 202012
8 202111
9 20208
10 20246
11 20216
12 20214
13 20214
14 20193
15 20213
16 20222
17 20212
18 20232
19 20232
20 20242

About Enge Song

Enge Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 284 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (18 papers), Advanced Optical Network Technologies (9 papers), Cloud Computing and Resource Management (7 papers), Caching and Content Delivery (5 papers), Advanced Photonic Communication Systems (4 papers), Network Traffic and Congestion Control (4 papers), Wireless Networks and Protocols (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Computer Networks and Communications (251 citations), Hardware and Architecture (17 citations), Electrical and Electronic Engineering (124 citations), Information Systems (44 citations) and Aerospace Engineering (20 citations). Enge Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tian Pan, Tao Huang, Yunjie Liu, Chenhao Jia, Xingchen Lin, Jiao Zhang, Bin Liu, Jiao Zhang, Cheng Xu and Jianyuan Lu. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE/ACM Transactions on Networking, IET Communications and GLOBECOM 2022 - 2022 IEEE Global Communications Conference.

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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