Gian Song
About
Gian Song is a scholar working on Mechanical Engineering, Aerospace Engineering and Materials Chemistry.
According to data from OpenAlex, Gian Song has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanical Engineering, 25 papers in Aerospace Engineering and 10 papers in Materials Chemistry. Recurrent topics in Gian Song’s work include High Entropy Alloys Studies (24 papers), High-Temperature Coating Behaviors (23 papers) and Additive Manufacturing Materials and Processes (14 papers). Gian Song is often cited by papers focused on High Entropy Alloys Studies (24 papers), High-Temperature Coating Behaviors (23 papers) and Additive Manufacturing Materials and Processes (14 papers). Gian Song collaborates with scholars based in South Korea, United States and Japan. Gian Song's co-authors include Ki Buem Kim, Jun Han, Sung Hwan Hong, Chanho Lee and Hae Jin Park and has published in prestigious journals such as Advanced Materials, Acta Materialia and Progress in Materials Science.
In The Last Decade
Fields of papers citing papers by Gian Song
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 Gian Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gian Song may publish in the future.
Countries citing papers authored by Gian Song
Since SpecializationCitations
This map shows the geographic impact of Gian Song'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 Gian Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian Song more than expected).
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