Dijia Wu

About

Dijia Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dijia Wu has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dijia Wu’s work include Advanced X-ray and CT Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cardiac Imaging and Diagnostics (5 papers). Dijia Wu is often cited by papers focused on Advanced X-ray and CT Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cardiac Imaging and Diagnostics (5 papers). Dijia Wu collaborates with scholars based in China, United States and Germany. Dijia Wu's co-authors include Dinggang Shen, Feng Shi, Huan Yuan, Liming Xia, He Sui, Fei Shan, Ying Wei, Bin Song, Fuhua Yan and Zhongxiang Ding and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Co-authorship network of co-authors of Dijia Wu i

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Fields of papers citing papers by Dijia Wu

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

Countries citing papers authored by Dijia Wu

Since Specialization

Citations

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

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