Song Liu

612 citations
57 papers · 437 indexed · h-index 11

Song Liu

55 papers receiving 426 citations

Peers

Song Liu
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 307
  • Signal Processing 35
  • Aerospace Engineering 70
  • Biomedical Engineering 122
  • Hardware and Architecture 16
Replace S. Bibyk with:
S. Bibyk United States
Muhammad Mahboob Ur Rahman Pakistan
Quan Pan China
Dejan V. Tošić Serbia
Roman Maršálek Czechia
Lida Kouhalvandi Türkiye
Muhammad Iram Baig Pakistan
Yi Lou China
L. Weyten Belgium
Song Liu relative to S. Bibyk United States S. Bibyk's profile →
Citations per field
00.5×10.8×
S. Bibyk · 1×
Citations per year

Countries citing papers authored by Song Liu

Since Specialization
Citations

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

Fields of papers citing papers by Song Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20232
3 202123
4 20214
5 20207
6 201910
7 20187
8 20184
9 201820
10 201713
11 20176
12 20169
13 20142
14
Comparing Computer and Mobile Phone Use by American and Japanese University Students
20121
15 20128
16 20121
17
An e-Learning System Connecting Tutor and Students in Different Countries
20112
18
A constant rate bandwidth reduction architecture with adaptive compression mode decision for video decoding
20105
19 201010
20
Flicker: Saving Refresh-Power in Mobile Devices through Critical Data Partitioning
200914

About Song Liu

Song Liu is a scholar working on Electrical and Electronic Engineering, Radiological and Ultrasound Technology and Hardware and Architecture, having authored 57 papers that have together received 437 indexed citations. Recurring topics across this work include Microwave and Dielectric Measurement Techniques (15 papers), Acoustic Wave Resonator Technologies (9 papers), Microwave Engineering and Waveguides (8 papers), Optical Wireless Communication Technologies (7 papers), Advanced Photonic Communication Systems (7 papers), Optical Network Technologies (5 papers), PAPR reduction in OFDM (4 papers) and Electrical Fault Detection and Protection (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (307 citations), Signal Processing (35 citations) and Aerospace Engineering (70 citations). Song Liu has collaborated with scholars based in China, Belgium and Japan. Frequent co-authors include Bart Nauwelaers, Ilja Ocket, Dominique Schreurs, De Xu, Zhengtao Zhang, Fangfang Liu, Richard P. Martin, Marco Gruteser, Jie Yang and Dapeng Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Transactions on Microwave Theory and Techniques.

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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