Yunpeng Song

31 papers and 280 indexed citations i.

About

Yunpeng Song is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Yunpeng Song has authored 31 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Electrical and Electronic Engineering and 5 papers in Materials Chemistry. Recurrent topics in Yunpeng Song’s work include Public Policy and Administration Research (5 papers), Electromagnetic Simulation and Numerical Methods (4 papers) and Microwave Imaging and Scattering Analysis (3 papers). Yunpeng Song is often cited by papers focused on Public Policy and Administration Research (5 papers), Electromagnetic Simulation and Numerical Methods (4 papers) and Microwave Imaging and Scattering Analysis (3 papers). Yunpeng Song collaborates with scholars based in China, Canada and United States. Yunpeng Song's co-authors include Natalia K. Nikolova, Zhongmin Cai, Zhi-Li Zhang, Yonggen Lü, Hao Xiao, Xianying Qin, Junjie Li, Chao‐Nan Xu, Jie Bao and Yong Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Vehicular Technology.

In The Last Decade

Co-authorship network of co-authors of Yunpeng Song i

Fields of papers citing papers by Yunpeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunpeng Song

Since Specialization
Citations

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

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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2025