Kejian Song

About

Kejian Song is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Kejian Song has authored 23 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 16 papers in Industrial and Manufacturing Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Kejian Song’s work include Railway Systems and Energy Efficiency (16 papers), Multilevel Inverters and Converters (7 papers) and Railway Engineering and Dynamics (6 papers). Kejian Song is often cited by papers focused on Railway Systems and Energy Efficiency (16 papers), Multilevel Inverters and Converters (7 papers) and Railway Engineering and Dynamics (6 papers). Kejian Song collaborates with scholars based in China, Australia and Denmark. Kejian Song's co-authors include Mingli Wu, Vassilios G. Agelidis, Shaobing Yang, Georgios Konstantinou, Qiujiang Liu, Guangli Zhu, Hui Wang, Ricardo P. Aguilera, Pablo Acuna and Josep Pou and has published in prestigious journals such as Applied Energy, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Co-authorship network of co-authors of Kejian Song i

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Fields of papers citing papers by Kejian Song

Since Specialization

EngineeringComputer 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 Kejian Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kejian Song may publish in the future.

Countries citing papers authored by Kejian Song

Since Specialization

Citations

This map shows the geographic impact of Kejian 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 Kejian Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejian Song more than expected).

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