Francis Song
About
Francis Song is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology.
According to data from OpenAlex, Francis Song has authored 5 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Obstetrics and Gynecology. Recurrent topics in Francis Song’s work include Gestational Diabetes Research and Management (2 papers), Birth, Development, and Health (2 papers) and Pregnancy and preeclampsia studies (2 papers). Francis Song is often cited by papers focused on Gestational Diabetes Research and Management (2 papers), Birth, Development, and Health (2 papers) and Pregnancy and preeclampsia studies (2 papers). Francis Song collaborates with scholars based in United States and United Kingdom. Francis Song's co-authors include Donna Dizon‐Townson, Michael W. Varner, Geoffrey Irving, Kenneth J. Ward, Saffron Huang, Trevor Cai, Ethan Perez, Amelia Glaese, John Aslanides and Roman Ring and has published in prestigious journals such as Obstetrics and Gynecology, Harvard international review and International Conference on Machine Learning.
In The Last Decade
Co-authorship network of co-authors of Francis Song i
Fields of papers citing papers by Francis 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 Francis Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Francis Song may publish in the future.
Countries citing papers authored by Francis Song
Since SpecializationCitations
This map shows the geographic impact of Francis 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 Francis Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Song more than expected).
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