Mei Song

6.1k citations
239 papers · 3.7k indexed · 1 hit paper · h-index 25

Mei Song

216 papers receiving 3.6k citations

Hit Papers

Performance Optimization for Blockchain-Enabled Industria...272201920262021202350100150200250

Peers

Mei Song
Comparison fields: 5 of 124
  • Computer Networks and Communications 2.2k
  • Electrical and Electronic Engineering 1.9k
  • Information Systems 709
  • Artificial Intelligence 747
  • Computer Vision and Pattern Recognition 306
Replace Gesualdo Scutari with:
Gesualdo Scutari United States
Yong Ding China
Douglas J. Leith Ireland
Francesco Lo Presti Italy
Dong Li China
Robert Shorten Ireland
Wee Peng Tay Singapore
Mohammad Reza Meybodi Iran
Lifeng Lai United States
Soummya Kar United States
Mei Song relative to Gesualdo Scutari United States Gesualdo Scutari's profile →
Citations per field
00.5×1.5×2.5×
Gesualdo Scutari · 1×
Citations per year

Countries citing papers authored by Mei Song

Since Specialization
Citations

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

Fields of papers citing papers by Mei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20238
3 202118
4 202015
5 202024
6 202021
7 201911
8 201983
9
Limitations of Lazy Training of Two-layers Neural Network
201916
10
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
20194
11 2018249
12 2018134
13
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality
20174
14 2017247
15
Game Theoretic Framework for Energy Cooperation in Wireless Sensor Networks with Energy Harvesting and Wireless Power Transfer.
20174
16
Mechanism Study on the Flocculating of Ferric Chloride and Recent Progress
20163
17 2016144
18 201437
19 20093
20
DISTRIBUTED CONTROL SYSTEM FOR THE COOPERATIVE TASK OF MULTI-MOBILE ROBOTS
20036

About Mei Song

Mei Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 239 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (75 papers), Advanced MIMO Systems Optimization (71 papers), IPv6, Mobility, Handover, Networks, Security (35 papers), Advanced Wireless Network Optimization (32 papers), Mobile Agent-Based Network Management (22 papers), Mobile Ad Hoc Networks (22 papers), Wireless Communication Networks Research (20 papers) and Wireless Communication Security Techniques (20 papers). The work is most often cited by research in Computer Networks and Communications (2.2k citations), Electrical and Electronic Engineering (1.9k citations) and Information Systems (709 citations). Mei Song has collaborated with scholars based in China, United States and Canada. Frequent co-authors include F. Richard Yu, Yinglei Teng, Mengting Liu, Yifei Wei, Victor C. M. Leung, Andrea Montanari, Zhu Han, Phan-Minh Nguyen, Yong Zhang and Li Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Communications Surveys & Tutorials.

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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