Lei Shi

107 papers and 853 indexed citations i.

About

Lei Shi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Lei Shi has authored 107 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 23 papers in Information Systems. Recurrent topics in Lei Shi’s work include Rock Mechanics and Modeling (8 papers), Complex Network Analysis Techniques (7 papers) and Sentiment Analysis and Opinion Mining (7 papers). Lei Shi is often cited by papers focused on Rock Mechanics and Modeling (8 papers), Complex Network Analysis Techniques (7 papers) and Sentiment Analysis and Opinion Mining (7 papers). Lei Shi collaborates with scholars based in China, United States and Norway. Lei Shi's co-authors include Beng Chin Ooi, Sai Wu, Dawei Jiang, Lin Wei, Thomas L. Griffiths, Junxiao Xue, Yafei Li, Yichen Tian, Hongfeng Gao and Yang Dan and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Lei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Shi

Since Specialization
Citations

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