Di Jin
About
Di Jin is a scholar working on Aerospace Engineering, Artificial Intelligence and Computational Mechanics.
According to data from OpenAlex, Di Jin has authored 101 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Aerospace Engineering, 36 papers in Artificial Intelligence and 20 papers in Computational Mechanics. Recurrent topics in Di Jin’s work include Topic Modeling (24 papers), Plasma and Flow Control in Aerodynamics (23 papers) and Combustion and Detonation Processes (18 papers). Di Jin is often cited by papers focused on Topic Modeling (24 papers), Plasma and Flow Control in Aerodynamics (23 papers) and Combustion and Detonation Processes (18 papers). Di Jin collaborates with scholars based in China, United States and Hong Kong. Di Jin's co-authors include Yinghong Li, Min Jia, Yun Wu, Yun Wu and Peter Szolovits and has published in prestigious journals such as Bioinformatics, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
In The Last Decade
Fields of papers citing papers by Di Jin
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 Di Jin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Di Jin may publish in the future.
Countries citing papers authored by Di Jin
Since SpecializationCitations
This map shows the geographic impact of Di Jin'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 Di Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Jin more than expected).
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