Song Lin

2.0k total citations · 1 hit paper
53 papers, 1.4k citations indexed

About

Song Lin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Song Lin has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 18 papers in Computer Networks and Communications and 11 papers in Aerospace Engineering. Recurrent topics in Song Lin's work include Caching and Content Delivery (12 papers), Microwave Engineering and Waveguides (11 papers) and Peer-to-Peer Network Technologies (8 papers). Song Lin is often cited by papers focused on Caching and Content Delivery (12 papers), Microwave Engineering and Waveguides (11 papers) and Peer-to-Peer Network Technologies (8 papers). Song Lin collaborates with scholars based in United States, China and Netherlands. Song Lin's co-authors include Edoardo Charbon, Harald Homulle, Fabio Sebastiano, Rosario Incandela, Andrei Vladimirescu, Aly E. Fathy, Dimitrios Gunopulos, Adel Elsherbini, Masoud Babaie and Bishnu Patra and has published in prestigious journals such as Molecules, IEEE Journal of Solid-State Circuits and IEEE Microwave and Wireless Components Letters.

In The Last Decade

Song Lin

50 papers receiving 1.4k citations

Hit Papers

Cryo-CMOS Circuits and Systems for Quantum Computing Appl... 2017 2026 2020 2023 2017 100 200 300

Peers

Song Lin
Comparison fields: 5 of 55
  • Electrical and Electronic Engineering 1.0k
  • Atomic and Molecular Physics, and Optics 423
  • Computer Networks and Communications 256
  • Aerospace Engineering 244
  • Artificial Intelligence 237
Replace Liuguo Yin with:
Liuguo Yin China
Leonid Belostotski Canada
Gerardo Pelosi Italy
Andrei Vladimirescu France
Harkirat Singh India
J.J. O’Reilly United Kingdom
Masoud Babaie Netherlands
Idelfonso Tafur Monroy Denmark
Alex Alvarado Netherlands
Jian Zhao Ireland
Liuguo Yin China View profile →
Citations per field, relative to Song Lin
Song Lin · 1×
Citations per year, relative to Song Lin
Song Lin · 1×

Countries citing papers authored by Song Lin

Since Specialization
Citations

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

Fields of papers citing papers by Song Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Song Lin. A scholar is included among the top collaborators of Song Lin 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 Song Lin. Song Lin 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 1
2 0
3 2
4 2
5 171
6 65
7 14
8
Optimization of k-means clustering algorithm in hadoop distributed computing framework
1
9 0
10 11
11 20
12 9
13 4
14 32
15 13
16 5
17 30
18 11
19 108
20 5

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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