Shuai Niu

4 papers and 317 indexed citations i.

About

Shuai Niu is a scholar working on Molecular Biology, Artificial Intelligence and Physiology. According to data from OpenAlex, Shuai Niu has authored 4 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Physiology. Recurrent topics in Shuai Niu’s work include Machine Learning in Healthcare (2 papers), Topic Modeling (2 papers) and Artificial Intelligence in Healthcare (1 paper). Shuai Niu is often cited by papers focused on Machine Learning in Healthcare (2 papers), Topic Modeling (2 papers) and Artificial Intelligence in Healthcare (1 paper). Shuai Niu collaborates with scholars based in China, United Kingdom and Hong Kong. Shuai Niu's co-authors include Franco Merletti, John Brasure, Peter Boyle, Gary J. Macfarlane, Paolo Boffetta, Tongzhang Zheng, James R. Marshall, Xuefu He, J Boreham and Zhimin Chen and has published in prestigious journals such as Notes and Queries, Decision Support Systems and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of Shuai Niu i

Fields of papers citing papers by Shuai Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuai Niu

Since Specialization
Citations

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