Yangqiu Song

141 papers and 3.1k indexed citations i.

About

Yangqiu Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yangqiu Song has authored 141 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 18 papers in Information Systems. Recurrent topics in Yangqiu Song’s work include Topic Modeling (66 papers), Natural Language Processing Techniques (44 papers) and Advanced Graph Neural Networks (30 papers). Yangqiu Song is often cited by papers focused on Topic Modeling (66 papers), Natural Language Processing Techniques (44 papers) and Advanced Graph Neural Networks (30 papers). Yangqiu Song collaborates with scholars based in Hong Kong, China and United States. Yangqiu Song's co-authors include Changshui Zhang, Dan Roth, Hongjie Bai, Edward Yi Chang, Chih‐Jen Lin, Wen-Yen Chen, Feiping Nie, Shi‐Xia Liu, Shiming Xiang and Haixun Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Information Sciences.

In The Last Decade

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

Fields of papers citing papers by Yangqiu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yangqiu Song

Since Specialization
Citations

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