Shenghui Song

4.4k citations
160 papers · 2.3k indexed · 1 hit paper · h-index 23

Shenghui Song

147 papers receiving 2.2k citations

Hit Papers

Stochastic Joint Radio and Computational Resource Managem...5402017202620202023100200300400500

Peers

Shenghui Song
Comparison fields: 5 of 87
  • Computer Networks and Communications 1.4k
  • Electrical and Electronic Engineering 1.4k
  • Aerospace Engineering 330
  • Computer Science Applications 71
  • Artificial Intelligence 341
Replace Zihuai Lin with:
Zihuai Lin Australia
Qimei Cui China
Yongxu Zhu China
Haitao Xu China
Phee Lep Yeoh Australia
M. Cenk Gursoy United States
Sumudu Samarakoon Finland
Conghao Zhou Canada
Christina Pöpper United States
Shenghui Song relative to Zihuai Lin Australia Zihuai Lin's profile →
Citations per field
00.5×1.5×
Zihuai Lin · 1×
Citations per year

Countries citing papers authored by Shenghui Song

Since Specialization
Citations

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

Fields of papers citing papers by Shenghui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shenghui 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 Shenghui Song Line = papers co-authored together Shenghui Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20256
3 20250
4 20252
5 20251
6 20250
7 20250
8 20251
9 20252
10 20252
11 20241
12 20241
13 20242
14 20241
15 20243
16 20241
17 20245
18 20230
19 202350
20
Edge-Assisted Hierarchical Federated Learning with Non-IID Data
201933

About Shenghui Song

Shenghui Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering, having authored 160 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (45 papers), Cooperative Communication and Network Coding (39 papers), Advanced Wireless Communication Technologies (25 papers), Full-Duplex Wireless Communications (19 papers), Advanced Wireless Communication Techniques (16 papers), Radar Systems and Signal Processing (13 papers), Indoor and Outdoor Localization Technologies (13 papers) and Antenna Design and Analysis (13 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Electrical and Electronic Engineering (1.4k citations) and Aerospace Engineering (330 citations). Shenghui Song has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Khaled B. Letaief, Jun Zhang, Yuyi Mao, Q.T. Zhang, Xianghao Yu, Lei Xie, Hengtao He, Yifei Shen, Lumin Liu and Xin Zhang. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

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