Song Song

55 papers and 789 indexed citations i.

About

Song Song is a scholar working on Electrical and Electronic Engineering, Statistics and Probability and Aerospace Engineering. According to data from OpenAlex, Song Song has authored 55 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 9 papers in Statistics and Probability and 8 papers in Aerospace Engineering. Recurrent topics in Song Song’s work include Optical Wireless Communication Technologies (18 papers), Advanced Photonic Communication Systems (12 papers) and Optical Network Technologies (8 papers). Song Song is often cited by papers focused on Optical Wireless Communication Technologies (18 papers), Advanced Photonic Communication Systems (12 papers) and Optical Network Technologies (8 papers). Song Song collaborates with scholars based in China, United States and Germany. Song Song's co-authors include Wolfgang Karl Härdle, Yejun Liu, Lei Guo, Lei Guo and Ya’acov Ritov and has published in prestigious journals such as Chemical Engineering Journal, Journal of Membrane Science and Optics Letters.

In The Last Decade

Fields of papers citing papers by Song 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 Song Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Song may publish in the future.

Countries citing papers authored by Song Song

Since Specialization
Citations

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

Rankless by CCL
2025