Sheng Shen

26 papers and 659 indexed citations i.

About

Sheng Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sheng Shen has authored 26 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Sheng Shen’s work include Privacy-Preserving Technologies in Data (8 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Sheng Shen is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Sheng Shen collaborates with scholars based in United States, Australia and China. Sheng Shen's co-authors include Kurt Keutzer, Zhewei Yao, Michael W. Mahoney, Amir Gholami, Tianqing Zhu, Wanlei Zhou, Jiayu Ye, Zhen Dong, Linjian Ma and Dayong Ye and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Knowledge-Based Systems.

In The Last Decade

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

Fields of papers citing papers by Sheng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng Shen

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025