Sheng Gao

48 papers and 501 indexed citations i.

About

Sheng Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sheng Gao has authored 48 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Sheng Gao’s work include Topic Modeling (17 papers), Natural Language Processing Techniques (14 papers) and Advanced Graph Neural Networks (6 papers). Sheng Gao is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (14 papers) and Advanced Graph Neural Networks (6 papers). Sheng Gao collaborates with scholars based in China, France and United States. Sheng Gao's co-authors include Jun Guo, Patrick Gallinari, Long‐Qing Chen, Lin Qiu, Weiran Xu, Zhanyu Ma, Nei Kato, Si Li, Ce‐Wen Nan and J. X. Zhang and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Journal of Hepatology.

In The Last Decade

Co-authorship network of co-authors of Sheng Gao i

Fields of papers citing papers by Sheng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng Gao

Since Specialization
Citations

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