Acta Automatica Sinica
About
The 1.4k papers published in Acta Automatica Sinica in the last decades have received a total of 7.1k indexed citations.
Papers published in Acta Automatica Sinica usually cover Control and Systems Engineering (721 papers), Computer Vision and Pattern Recognition (303 papers) and Artificial Intelligence (285 papers) specifically the topics of Stability and Control of Uncertain Systems (193 papers), Advanced Algorithms and Applications (175 papers) and Adaptive Control of Nonlinear Systems (168 papers). The most active scholars publishing in Acta Automatica Sinica are Alireza Alfi, Guang‐Hong Yang, Yugeng Xi, Dewei Li, Yungang Liu, Kai Wang, Zhongsheng Hou, Shu Lin, Mei Fang and Jingwen Yan.
In The Last Decade
Fields of papers published in Acta Automatica Sinica
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Acta Automatica Sinica. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Acta Automatica Sinica
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Acta Automatica Sinica. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Acta Automatica Sinica with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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