Song

About

Song is a scholar working on Atmospheric Science, Artificial Intelligence and Geophysics. According to data from OpenAlex, Song has authored 130 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 38 papers in Artificial Intelligence and 33 papers in Geophysics. Recurrent topics in Song’s work include Geological and Geochemical Analysis (25 papers), Geological and Geophysical Studies (17 papers) and Geochemistry and Geologic Mapping (16 papers). Song is often cited by papers focused on Geological and Geochemical Analysis (25 papers), Geological and Geophysical Studies (17 papers) and Geochemistry and Geologic Mapping (16 papers). Song collaborates with scholars based in and . Song's co-authors include LI -, Zhang, Liu, Wang and Chen and has published in prestigious journals such as International Journal of Technology Management and Earth Science-Journal of China University of Geosciences.

In The Last Decade

Fields of papers citing papers by Song

Since Specialization

EngineeringComputer 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 Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song may publish in the future.

Countries citing papers authored by Song

Since Specialization

Citations

This map shows the geographic impact of 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 Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song more than expected).

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