Xingchen Song

22 papers and 211 indexed citations i.

About

Xingchen Song is a scholar working on Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Xingchen Song has authored 22 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Signal Processing and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Xingchen Song’s work include Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (7 papers). Xingchen Song is often cited by papers focused on Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (7 papers). Xingchen Song collaborates with scholars based in China, Hong Kong and United States. Xingchen Song's co-authors include Helen Meng, Dan Su, Zhiyong Wu, Yongsheng Chen, Guangsen Wang, Hongtao Zhang, Jie Zhu, Yanfeng Ma, Chenxi Li and Fuping Pan and has published in prestigious journals such as Angewandte Chemie International Edition, Energy & Environmental Science and Separation and Purification Technology.

In The Last Decade

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

Fields of papers citing papers by Xingchen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xingchen Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025