Guanghua Song
About
Guanghua Song is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Aerospace Engineering.
According to data from OpenAlex, Guanghua Song has authored 48 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Aerospace Engineering. Recurrent topics in Guanghua Song’s work include UAV Applications and Optimization (7 papers), Reinforcement Learning in Robotics (6 papers) and Distributed Multi-Agent Coordination and Control (6 papers). Guanghua Song is often cited by papers focused on UAV Applications and Optimization (7 papers), Reinforcement Learning in Robotics (6 papers) and Distributed Multi-Agent Coordination and Control (6 papers). Guanghua Song collaborates with scholars based in China, United States and United Kingdom. Guanghua Song's co-authors include Bowei Yang, Yao Zheng, Hua Meng, Xiaohong Jiang, Yue Wu, Xiaoli Chu, Yining Chen, Meng Tao, Yingjie Xia and Muhammad Ali and has published in prestigious journals such as Solar Energy, IEEE Transactions on Wireless Communications and Review of Scientific Instruments.
In The Last Decade
Co-authorship network of co-authors of Guanghua Song i
Fields of papers citing papers by Guanghua Song
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 citing the papers produced by Guanghua Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Guanghua Song may publish in the future.
Countries citing papers authored by Guanghua Song
Since SpecializationCitations
This map shows the geographic impact of Guanghua Song's research. 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 Guanghua Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanghua Song more than expected).
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