Pucha Song

About

Pucha Song is a scholar working on Computational Mechanics, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Pucha Song has authored 22 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 15 papers in Signal Processing and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Pucha Song’s work include Advanced Adaptive Filtering Techniques (16 papers), Blind Source Separation Techniques (14 papers) and Speech and Audio Processing (13 papers). Pucha Song is often cited by papers focused on Advanced Adaptive Filtering Techniques (16 papers), Blind Source Separation Techniques (14 papers) and Speech and Audio Processing (13 papers). Pucha Song collaborates with scholars based in China. Pucha Song's co-authors include Haiquan Zhao, Bing Liu, Yingying Zhu, Xiangping Zeng, Feng Zhao, Long Shi, Pengfei Li, Lijun Zhou, Zhongfu Tan and Zhenhua Li and has published in prestigious journals such as IEEE Access, Journal of Sound and Vibration and Mechanical Systems and Signal Processing.

In The Last Decade

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

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Fields of papers citing papers by Pucha Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pucha Song

Since Specialization

Citations

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