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).
Fields of papers published in ACTA AUTOMATICA SINICA
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.
About ACTA AUTOMATICA SINICA
The 1.1k papers published in ACTA AUTOMATICA SINICA in the last decades have received a total of 7.8k indexed citations . Papers published in ACTA AUTOMATICA SINICA usually cover Control and Systems Engineering (453 papers), Computer Vision and Pattern Recognition (287 papers), Artificial Intelligence (234 papers), Media Technology (64 papers) and Computer Networks and Communications (152 papers) specifically the topics of Fault Detection and Control Systems (147 papers), Stability and Control of Uncertain Systems (114 papers), Adaptive Control of Nonlinear Systems (113 papers), Advanced Control Systems Optimization (99 papers), Target Tracking and Data Fusion in Sensor Networks (56 papers), Control Systems and Identification (55 papers), Iterative Learning Control Systems (49 papers) and Neural Networks and Applications (49 papers). The most active scholars publishing in ACTA AUTOMATICA SINICA are Tianyou Chai, Zhongsheng Hou, Guanzheng Tan, Le Li, Yujin Zhang, Jian‐Xin Xu, Qi Song, Donghua Zhou, Fei–Yue Wang and Guang‐Hong Yang.
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.