Shoujun Song
About
Shoujun Song is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering.
According to data from OpenAlex, Shoujun Song has authored 62 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 39 papers in Control and Systems Engineering and 22 papers in Mechanical Engineering. Recurrent topics in Shoujun Song’s work include Electric Motor Design and Analysis (55 papers), Magnetic Bearings and Levitation Dynamics (34 papers) and Induction Heating and Inverter Technology (18 papers). Shoujun Song is often cited by papers focused on Electric Motor Design and Analysis (55 papers), Magnetic Bearings and Levitation Dynamics (34 papers) and Induction Heating and Inverter Technology (18 papers). Shoujun Song collaborates with scholars based in China, Germany and Canada. Shoujun Song's co-authors include Lefei Ge, Weiguo Liu, Man Zhang, Ruiqing Ma, Rik W. De Doncker, Gaoliang Fang, Zekun Xia, Zhihui Zhang, Dieter Peitsch and Zhihui Zhang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Industry Applications.
In The Last Decade
Co-authorship network of co-authors of Shoujun Song i
Fields of papers citing papers by Shoujun 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 Shoujun Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shoujun Song may publish in the future.
Countries citing papers authored by Shoujun Song
Since SpecializationCitations
This map shows the geographic impact of Shoujun 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 Shoujun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoujun Song more than expected).
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