Kun Su
About
Kun Su is a scholar working on Mechanics of Materials, Biomedical Engineering and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Kun Su has authored 27 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanics of Materials, 7 papers in Biomedical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kun Su’s work include Rock Mechanics and Modeling (7 papers), Music and Audio Processing (4 papers) and Acoustic Wave Phenomena Research (4 papers). Kun Su is often cited by papers focused on Rock Mechanics and Modeling (7 papers), Music and Audio Processing (4 papers) and Acoustic Wave Phenomena Research (4 papers). Kun Su collaborates with scholars based in China, France and United States. Kun Su's co-authors include Eli Shlizerman, Richard Cabrillac, Yun Jia, Zhengwen Zhang and Lixia Li and has published in prestigious journals such as Journal of Applied Physics, Sensors and Géotechnique.
In The Last Decade
Fields of papers citing papers by Kun Su
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 Kun Su. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kun Su may publish in the future.
Countries citing papers authored by Kun Su
Since SpecializationCitations
This map shows the geographic impact of Kun Su'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 Kun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Su more than expected).
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