Shukai Liu

19 papers and 337 indexed citations i.

About

Shukai Liu is a scholar working on Information Systems, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Shukai Liu has authored 19 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 6 papers in Artificial Intelligence and 4 papers in Epidemiology. Recurrent topics in Shukai Liu’s work include Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (4 papers) and Influenza Virus Research Studies (3 papers). Shukai Liu is often cited by papers focused on Recommender Systems and Techniques (5 papers), Advanced Graph Neural Networks (4 papers) and Influenza Virus Research Studies (3 papers). Shukai Liu collaborates with scholars based in China, United States and Hong Kong. Shukai Liu's co-authors include Leyu Lin, Bo Zhang, Ming Liao, Hongyuan Zha, Wenbao Qi, Huanan Li, Ruobing Xie, Wen Wang, Wei Zhang and Lihong Huang and has published in prestigious journals such as Acta Materialia, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Co-authorship network of co-authors of Shukai Liu i

Fields of papers citing papers by Shukai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shukai Liu

Since Specialization
Citations

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