Ying Sai

9 papers and 242 indexed citations i.

About

Ying Sai is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ying Sai has authored 9 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 2 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Ying Sai’s work include Rough Sets and Fuzzy Logic (4 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Ying Sai is often cited by papers focused on Rough Sets and Fuzzy Logic (4 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Ying Sai collaborates with scholars based in China and Canada. Ying Sai's co-authors include Guilong Liu, Chunping Wan, Xi Zheng, Dongdong Qin, Xiaosi Li, Wei Ma, Yapeng Cao, Dun Chen, Gang Wu and Xiyu Yu and has published in prestigious journals such as Frontiers in Immunology, Energy and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Ying Sai i

Fields of papers citing papers by Ying Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Sai

Since Specialization
Citations

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