Xingyi Song

25 papers and 325 indexed citations i.

About

Xingyi Song is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Xingyi Song has authored 25 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 4 papers in Information Systems. Recurrent topics in Xingyi Song’s work include Topic Modeling (10 papers), Misinformation and Its Impacts (7 papers) and Natural Language Processing Techniques (6 papers). Xingyi Song is often cited by papers focused on Topic Modeling (10 papers), Misinformation and Its Impacts (7 papers) and Natural Language Processing Techniques (6 papers). Xingyi Song collaborates with scholars based in United Kingdom, China and Australia. Xingyi Song's co-authors include Johann Petrak, Diana Maynard, Ye Jiang, Matthew Gilbert, Linwei He, Kalina Bontcheva, Angus Roberts, Xiaobing Bao, Xiao Han and Junjie Wang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Xingyi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xingyi Song

Since Specialization
Citations

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