Kaisong Song

23 papers and 217 indexed citations i.

About

Kaisong Song is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Kaisong Song has authored 23 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Information Systems and 2 papers in Sociology and Political Science. Recurrent topics in Kaisong Song’s work include Sentiment Analysis and Opinion Mining (14 papers), Topic Modeling (11 papers) and Text and Document Classification Technologies (7 papers). Kaisong Song is often cited by papers focused on Sentiment Analysis and Opinion Mining (14 papers), Topic Modeling (11 papers) and Text and Document Classification Technologies (7 papers). Kaisong Song collaborates with scholars based in China, United States and Australia. Kaisong Song's co-authors include Daling Wang, Shi Feng, Ge Yu, Yifei Zhang, Xiangju Li, Feng Shi, Wei Gao, Chengqi Zhang, Xiaozhong Liu and Yifei Zhang and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

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

Fields of papers citing papers by Kaisong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaisong Song

Since Specialization
Citations

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