ACTA AUTOMATICA SINICA

1.1k papers and 5.6k indexed citations

About

The 1.1k papers published in ACTA AUTOMATICA SINICA in the last decades have received a total of 5.6k indexed citations. Papers published in ACTA AUTOMATICA SINICA usually cover Control and Systems Engineering (447 papers), Computer Vision and Pattern Recognition (289 papers) and Artificial Intelligence (231 papers) specifically the topics of Fault Detection and Control Systems (145 papers), Stability and Control of Uncertain Systems (115 papers) and Adaptive Control of Nonlinear Systems (112 papers). The most active scholars publishing in ACTA AUTOMATICA SINICA are Tianyou Chai, Guanzheng Tan, Zhongsheng Hou, Jian‐Xin Xu, Qi Song, Guang‐Hong Yang, Donghua Zhou, Mei Fang, Yugeng Xi and Le Li.

In The Last Decade

ACTA AUTOMATICA SINICA

910 papers receiving 5.2k citations

Fields of papers published in ACTA AUTOMATICA SINICA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACTA AUTOMATICA SINICA. 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 ACTA AUTOMATICA SINICA.

Countries where authors publish in ACTA AUTOMATICA SINICA

Since Specialization
Citations

This map shows the geographic impact of research published in ACTA AUTOMATICA SINICA. 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 ACTA AUTOMATICA SINICA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ACTA AUTOMATICA SINICA 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 journals with similar magnitude of impact

Rankless by CCL
2026