Xiao Da

About

Xiao Da is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Genetics. According to data from OpenAlex, Xiao Da has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Artificial Intelligence and 8 papers in Genetics. Recurrent topics in Xiao Da’s work include Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (8 papers) and MRI in cancer diagnosis (7 papers). Xiao Da is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (8 papers) and MRI in cancer diagnosis (7 papers). Xiao Da collaborates with scholars based in United States, China and Norway. Xiao Da's co-authors include Christos Davatzikos, Yangming Ou, Hamed Akbari, Leslie M. Shaw and John Q. Trojanowski and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain.

In The Last Decade

Fields of papers citing papers by Xiao Da

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

Countries citing papers authored by Xiao Da

Since Specialization

Citations

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

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