Junqi Yin
About
Junqi Yin is a scholar working on Mechanical Engineering, Materials Chemistry and Artificial Intelligence.
According to data from OpenAlex, Junqi Yin has authored 50 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 11 papers in Materials Chemistry and 10 papers in Artificial Intelligence. Recurrent topics in Junqi Yin’s work include High Entropy Alloys Studies (11 papers), Machine Learning in Materials Science (8 papers) and High-Temperature Coating Behaviors (6 papers). Junqi Yin is often cited by papers focused on High Entropy Alloys Studies (11 papers), Machine Learning in Materials Science (8 papers) and High-Temperature Coating Behaviors (6 papers). Junqi Yin collaborates with scholars based in United States, Germany and United Kingdom. Junqi Yin's co-authors include Markus Eisenbach, D. P. Landau, Zongrui Pei, G. M. Stocks and Debsindhu Bhowmik and has published in prestigious journals such as The Journal of Chemical Physics, Nature Communications and Journal of Applied Physics.
In The Last Decade
Fields of papers citing papers by Junqi Yin
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 Junqi Yin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Junqi Yin may publish in the future.
Countries citing papers authored by Junqi Yin
Since SpecializationCitations
This map shows the geographic impact of Junqi Yin'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 Junqi Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqi Yin more than expected).
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