Chaoyun Song

4.7k total citations · 2 hit papers
141 papers, 3.4k citations indexed

About

Chaoyun Song is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Chaoyun Song has authored 141 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Electrical and Electronic Engineering, 90 papers in Aerospace Engineering and 26 papers in Biomedical Engineering. Recurrent topics in Chaoyun Song's work include Antenna Design and Analysis (80 papers), Energy Harvesting in Wireless Networks (77 papers) and Microwave Engineering and Waveguides (25 papers). Chaoyun Song is often cited by papers focused on Antenna Design and Analysis (80 papers), Energy Harvesting in Wireless Networks (77 papers) and Microwave Engineering and Waveguides (25 papers). Chaoyun Song collaborates with scholars based in United Kingdom, China and United States. Chaoyun Song's co-authors include Yi Huang, Jiafeng Zhou, Sheng Yuan, Paul Carter, Qian Xu, Ping Lu, Jingwei Zhang, Lei Xing, Qingwen Fan and Peng Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Proceedings of the IEEE.

In The Last Decade

Chaoyun Song

125 papers receiving 3.3k citations

Hit Papers

A High-Efficiency Broadband Rectenna for Ambient Wireless... 2015 2026 2018 2022 2015 2024 100 200 300

Peers

Chaoyun Song
Comparison fields: 5 of 97
  • Electrical and Electronic Engineering 2.8k
  • Aerospace Engineering 1.7k
  • Mechanical Engineering 551
  • Biomedical Engineering 503
  • Electronic, Optical and Magnetic Materials 415
Replace Wayne S. T. Rowe with:
Wayne S. T. Rowe Australia
Mohammod Ali United States
Ignacio Gil Spain
Kwok L. Chung China
Jong‐Wook Lee South Korea
Roy B. V. B. Simorangkir Australia
Muharrem Karaaslan Türkiye
Yan Zhao China
Mourad Nedil Canada
Davide Micheli Italy
Wayne S. T. Rowe Australia View profile →
Citations per field, relative to Chaoyun Song
Chaoyun Song · 1×
Citations per year, relative to Chaoyun Song
Chaoyun Song · 1×

Countries citing papers authored by Chaoyun Song

Since Specialization
Citations

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

Fields of papers citing papers by Chaoyun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoyun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoyun Song. A scholar is included among the top collaborators of Chaoyun Song 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 Chaoyun Song. Chaoyun Song 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 2
3 1
4 2
5 11
6 2
7 2
8 6
9 0
10 1
11 2
12 4
13 5
14 9
15 17
16 2
17 68
18 30
19 35
20 23

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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