Shaoyun Shi

5 papers and 78 indexed citations i.

About

Shaoyun Shi is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Shaoyun Shi has authored 5 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Shaoyun Shi’s work include Topic Modeling (4 papers), Machine Learning in Healthcare (2 papers) and Advanced Text Analysis Techniques (2 papers). Shaoyun Shi is often cited by papers focused on Topic Modeling (4 papers), Machine Learning in Healthcare (2 papers) and Advanced Text Analysis Techniques (2 papers). Shaoyun Shi collaborates with scholars based in China and United States. Shaoyun Shi's co-authors include Haiyan Wu, Zhiqiang Zhang, Haiyu Song, Shuchang Liu, Hanxiong Chen, He Zhu, Yongfeng Zhang, Yunqi Li, Zhen Wang and Ying Liu and has published in prestigious journals such as Knowledge-Based Systems, Journal of Applied Mathematics and ACM transactions on office information systems.

In The Last Decade

Co-authorship network of co-authors of Shaoyun Shi i

Fields of papers citing papers by Shaoyun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaoyun Shi

Since Specialization
Citations

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