Scientia Sinica Informationis

1.0k papers and 2.7k indexed citations i.

About

The 1.0k papers published in Scientia Sinica Informationis in the last decades have received a total of 2.7k indexed citations. Papers published in Scientia Sinica Informationis usually cover Electrical and Electronic Engineering (173 papers), Artificial Intelligence (172 papers) and Computer Networks and Communications (150 papers) specifically the topics of Advanced Memory and Neural Computing (22 papers), Advanced SAR Imaging Techniques (21 papers) and Complex Network Analysis Techniques (21 papers). The most active scholars publishing in Scientia Sinica Informationis are Guanghui Yu, Yajun Zhao, Weiwei Bai, Qi Zhou, Renquan Lu, Tianyou Chai, Lin Jin, Tie Jun Cui, Xiaohu You and Jun Dong.

In The Last Decade

Fields of papers published in Scientia Sinica Informationis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Scientia Sinica Informationis. 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 Scientia Sinica Informationis.

Countries where authors publish in Scientia Sinica Informationis

Since Specialization
Citations

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