Shun Kiyono
About
Shun Kiyono is a scholar working on Artificial Intelligence, Biomedical Engineering and Mechanical Engineering.
According to data from OpenAlex, Shun Kiyono has authored 28 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Biomedical Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Shun Kiyono’s work include Topic Modeling (10 papers), Advanced Measurement and Metrology Techniques (10 papers) and Natural Language Processing Techniques (10 papers). Shun Kiyono is often cited by papers focused on Topic Modeling (10 papers), Advanced Measurement and Metrology Techniques (10 papers) and Natural Language Processing Techniques (10 papers). Shun Kiyono collaborates with scholars based in Japan and United States. Shun Kiyono's co-authors include Wei Gao, Jun Suzuki, Kentaro Inui, Sosuke Kobayashi and Masato Mita and has published in prestigious journals such as Review of Scientific Instruments, CIRP Annals and Sensors and Actuators A Physical.
In The Last Decade
Fields of papers citing papers by Shun Kiyono
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 Shun Kiyono. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shun Kiyono may publish in the future.
Countries citing papers authored by Shun Kiyono
Since SpecializationCitations
This map shows the geographic impact of Shun Kiyono'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 Shun Kiyono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun Kiyono more than expected).
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