Hang Yu

About

Hang Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hang Yu has authored 53 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hang Yu’s work include COVID-19 diagnosis using AI (6 papers), Digital Imaging for Blood Diseases (6 papers) and Advanced Neural Network Applications (5 papers). Hang Yu is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), Digital Imaging for Blood Diseases (6 papers) and Advanced Neural Network Applications (5 papers). Hang Yu collaborates with scholars based in China, Canada and United States. Hang Yu's co-authors include Qingchen Zhang, Laurence T. Yang, M. Jamal Deen, David Armstrong, Zhuo Liu, Taihua Wu, Feng Yang, Stefan Jaeger, Richard J. Maude and Mahdieh Poostchi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Microbiology and Biotechnology.

In The Last Decade

Co-authorship network of co-authors of Hang Yu i

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Fields of papers citing papers by Hang Yu

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

Countries citing papers authored by Hang Yu

Since Specialization

Citations

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

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