Li Si

36 papers and 275 indexed citations i.

About

Li Si is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Li Si has authored 36 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 14 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Li Si’s work include Topic Modeling (7 papers), Data Quality and Management (6 papers) and Advanced Text Analysis Techniques (5 papers). Li Si is often cited by papers focused on Topic Modeling (7 papers), Data Quality and Management (6 papers) and Advanced Text Analysis Techniques (5 papers). Li Si collaborates with scholars based in China, Singapore and Saudi Arabia. Li Si's co-authors include Limei Zhou, Zhaoyan Ming, Tat‐Seng Chua, Hongfei Yan, Xiaoming Li, Xian-Ling Mao, Jun Guo, Meng Wang, Weiran Xu and Zheng-Jun Zha and has published in prestigious journals such as Resources Conservation and Recycling, Remote Sensing and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Li Si i

Fields of papers citing papers by Li Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Li Si

Since Specialization
Citations

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