Casey Ta

About

Casey Ta is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Casey Ta has authored 43 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Casey Ta’s work include Machine Learning in Healthcare (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Topic Modeling (9 papers). Casey Ta is often cited by papers focused on Machine Learning in Healthcare (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Topic Modeling (9 papers). Casey Ta collaborates with scholars based in United States, South Korea and United Kingdom. Casey Ta's co-authors include Chunhua Weng, Andrew C. Kummel, Robert F. Mattrey, Cong Liu and Jae Hyun Kim and has published in prestigious journals such as Nucleic Acids Research, Biomaterials and Radiology.

In The Last Decade

Fields of papers citing papers by Casey Ta

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

Countries citing papers authored by Casey Ta

Since Specialization

Citations

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

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