Xiao Fu
About
Xiao Fu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering.
According to data from OpenAlex, Xiao Fu has authored 44 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Materials Chemistry, 29 papers in Electrical and Electronic Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Xiao Fu’s work include 2D Materials and Applications (20 papers), Perovskite Materials and Applications (11 papers) and Advanced Memory and Neural Computing (11 papers). Xiao Fu is often cited by papers focused on 2D Materials and Applications (20 papers), Perovskite Materials and Applications (11 papers) and Advanced Memory and Neural Computing (11 papers). Xiao Fu collaborates with scholars based in China, South Korea and Russia. Xiao Fu's co-authors include Tae Won Kang, P. Ilanchezhiyan, G. Mohan Kumar, Sh. U. Yuldashev and Г. Н. Панин and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.
In The Last Decade
Fields of papers citing papers by Xiao Fu
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 Xiao Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiao Fu may publish in the future.
Countries citing papers authored by Xiao Fu
Since SpecializationCitations
This map shows the geographic impact of Xiao Fu'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 Xiao Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Fu more than expected).
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