Linfeng Song

47 papers and 738 indexed citations i.

About

Linfeng Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Linfeng Song has authored 47 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Linfeng Song’s work include Topic Modeling (44 papers), Natural Language Processing Techniques (36 papers) and Speech and dialogue systems (15 papers). Linfeng Song is often cited by papers focused on Topic Modeling (44 papers), Natural Language Processing Techniques (36 papers) and Speech and dialogue systems (15 papers). Linfeng Song collaborates with scholars based in United States, China and Hong Kong. Linfeng Song's co-authors include Yue Zhang, Daniel Gildea, Zhiguo Wang, Qi Liu, Jinsong Su, Dong Yu, Zhiguo Wang, Yubin Ge, Kun Xu and Xiaochang Peng and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Knowledge and Data Engineering and Information Processing & Management.

In The Last Decade

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

Fields of papers citing papers by Linfeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linfeng Song

Since Specialization
Citations

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