Peter X.‐K. Song
About
Peter X.‐K. Song is a scholar working on Statistics and Probability, Artificial Intelligence and Physiology.
According to data from OpenAlex, Peter X.‐K. Song has authored 190 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 21 papers in Physiology. Recurrent topics in Peter X.‐K. Song’s work include Statistical Methods and Inference (55 papers), Statistical Methods and Bayesian Inference (53 papers) and Advanced Causal Inference Techniques (14 papers). Peter X.‐K. Song is often cited by papers focused on Statistical Methods and Inference (55 papers), Statistical Methods and Bayesian Inference (53 papers) and Advanced Causal Inference Techniques (14 papers). Peter X.‐K. Song collaborates with scholars based in United States, Canada and Mexico. Peter X.‐K. Song's co-authors include Carol Keohane, David W. Bates, Eyal Zimlichman, Charles R. Denham, Cyrus K. Yamin, Orly Tamir, Calvin Franz, Daniel Henderson, Ming Tan and Annie Qu and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
In The Last Decade
Co-authorship network of co-authors of Peter X.‐K. Song i
Fields of papers citing papers by Peter X.‐K. 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 Peter X.‐K. Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Peter X.‐K. Song may publish in the future.
Countries citing papers authored by Peter X.‐K. Song
Since SpecializationCitations
This map shows the geographic impact of Peter X.‐K. 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 Peter X.‐K. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter X.‐K. Song more than expected).
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