Ted W. Way

About

Ted W. Way is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Ted W. Way has authored 11 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Artificial Intelligence. Recurrent topics in Ted W. Way’s work include Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (6 papers) and AI in cancer detection (4 papers). Ted W. Way is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (6 papers) and AI in cancer detection (4 papers). Ted W. Way collaborates with scholars based in United States. Ted W. Way's co-authors include Heang‐Ping Chan, Lubomir M. Hadjiiski, Berkman Sahiner, Philip N. Cascade, Ella A. Kazerooni, Naama Bogot, Chuan Zhou, Aamer Chughtai, Mitchell M. Goodsitt and Emmanuel Christodoulou and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and Academic Radiology.

In The Last Decade

Co-authorship network of co-authors of Ted W. Way i

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Fields of papers citing papers by Ted W. Way

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

Countries citing papers authored by Ted W. Way

Since Specialization

Citations

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

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