Xun Cai
About
Xun Cai is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition and Mechanical Engineering.
According to data from OpenAlex, Xun Cai has authored 47 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Mechanical Engineering. Recurrent topics in Xun Cai’s work include Fiber-reinforced polymer composites (11 papers), Supercapacitor Materials and Fabrication (10 papers) and Graphene research and applications (8 papers). Xun Cai is often cited by papers focused on Fiber-reinforced polymer composites (11 papers), Supercapacitor Materials and Fabrication (10 papers) and Graphene research and applications (8 papers). Xun Cai collaborates with scholars based in China, United States and United Kingdom. Xun Cai's co-authors include Xiaomin Yuan, Kun Qiao, Bo Zhu, Junwei Yu and Bo Zhu and has published in prestigious journals such as The Science of The Total Environment, Journal of Power Sources and Chemical Engineering Journal.
In The Last Decade
Fields of papers citing papers by Xun Cai
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 Xun Cai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xun Cai may publish in the future.
Countries citing papers authored by Xun Cai
Since SpecializationCitations
This map shows the geographic impact of Xun Cai'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 Xun Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Cai more than expected).
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