Science in China Series A Mathematics

1.6k papers and 13.3k indexed citations i.

About

The 1.6k papers published in Science in China Series A Mathematics in the last decades have received a total of 13.3k indexed citations. Papers published in Science in China Series A Mathematics usually cover Applied Mathematics (468 papers), Mathematical Physics (409 papers) and Geometry and Topology (385 papers) specifically the topics of Holomorphic and Operator Theory (146 papers), Advanced Topics in Algebra (125 papers) and Mathematical Dynamics and Fractals (92 papers). The most active scholars publishing in Science in China Series A Mathematics are Zhiming Guo, Mu-Fa Chen, Shigē Péng, Guanggui Ding, Jianshe Yu, Yuxiang Li, Dachun Yang, Maoan Han, Shanzhen Lu and Shoufu Li.

In The Last Decade

Fields of papers published in Science in China Series A Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Science in China Series A Mathematics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Science in China Series A Mathematics.

Countries where authors publish in Science in China Series A Mathematics

Since Specialization
Citations

This map shows the geographic impact of research published in Science in China Series A Mathematics. 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 papers published in Science in China Series A Mathematics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Science in China Series A Mathematics 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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