Song Luan

About

Song Luan is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Song Luan has authored 14 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 10 papers in Electrical and Electronic Engineering and 10 papers in Cognitive Neuroscience. Recurrent topics in Song Luan’s work include Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (8 papers) and EEG and Brain-Computer Interfaces (8 papers). Song Luan is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (8 papers) and EEG and Brain-Computer Interfaces (8 papers). Song Luan collaborates with scholars based in United Kingdom, Switzerland and China. Song Luan's co-authors include Timothy G. Constandinou, Ian Williams, Yan Liu, Andrew Jackson and Amir Eftekhar and has published in prestigious journals such as Journal of Neuroscience Methods, Journal of Neural Engineering and IEEE Transactions on Biomedical Circuits and Systems.

In The Last Decade

Fields of papers citing papers by Song Luan

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

Countries citing papers authored by Song Luan

Since Specialization

Citations

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

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