Song Yang

About

Song Yang is a scholar working on Statistics and Probability, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Song Yang has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 14 papers in Electrical and Electronic Engineering and 10 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Song Yang’s work include Statistical Methods and Inference (29 papers), Statistical Methods in Clinical Trials (17 papers) and Statistical Methods and Bayesian Inference (13 papers). Song Yang is often cited by papers focused on Statistical Methods and Inference (29 papers), Statistical Methods in Clinical Trials (17 papers) and Statistical Methods and Bayesian Inference (13 papers). Song Yang collaborates with scholars based in United States, China and Japan. Song Yang's co-authors include Bing Sun, Dongmei Zhang, Ross L. Prentice, Cunyuan Pei and Yichuan Zhao and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and Langmuir.

In The Last Decade

Fields of papers citing papers by Song Yang

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

Countries citing papers authored by Song Yang

Since Specialization

Citations

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

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