Shuangyong Song

20 papers and 149 indexed citations i.

About

Shuangyong Song is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Shuangyong Song has authored 20 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Shuangyong Song’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (7 papers). Shuangyong Song is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (7 papers). Shuangyong Song collaborates with scholars based in China, Hong Kong and United States. Shuangyong Song's co-authors include Hongyun Bao, Qiudan Li, Heng Gao, Stephen Shaoyi Liao, Haiqing Chen, Jun Huang, Jianfei Yu, Yao Meng, Minghui Qiu and Wei Chu and has published in prestigious journals such as Decision Support Systems, IEEE Transactions on Systems Man and Cybernetics Systems and Data Science and Engineering.

In The Last Decade

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

Fields of papers citing papers by Shuangyong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuangyong Song

Since Specialization
Citations

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