Jun Cai
About
Jun Cai is a scholar working on Materials Chemistry, Mechanical Engineering and Biomedical Engineering.
According to data from OpenAlex, Jun Cai has authored 146 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Materials Chemistry, 33 papers in Mechanical Engineering and 32 papers in Biomedical Engineering. Recurrent topics in Jun Cai’s work include Ultrasound and Cavitation Phenomena (16 papers), Combustion and flame dynamics (12 papers) and Catalytic Processes in Materials Science (11 papers). Jun Cai is often cited by papers focused on Ultrasound and Cavitation Phenomena (16 papers), Combustion and flame dynamics (12 papers) and Catalytic Processes in Materials Science (11 papers). Jun Cai collaborates with scholars based in China, United States and Singapore. Jun Cai's co-authors include Xiulan Huai, Xunfeng Li, Jianhong Yang, Jianguo Lin and San‐Mou Jeng and has published in prestigious journals such as Applied Physics Letters, Physical Review B and Journal of Hazardous Materials.
In The Last Decade
Fields of papers citing papers by Jun 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 Jun Cai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Cai may publish in the future.
Countries citing papers authored by Jun Cai
Since SpecializationCitations
This map shows the geographic impact of Jun 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 Jun Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cai more than expected).
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