Hong Song

About

Hong Song is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Hong Song has authored 148 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Vision and Pattern Recognition, 50 papers in Radiology, Nuclear Medicine and Imaging and 30 papers in Biomedical Engineering. Recurrent topics in Hong Song’s work include Medical Image Segmentation Techniques (51 papers), Retinal Imaging and Analysis (19 papers) and AI in cancer detection (19 papers). Hong Song is often cited by papers focused on Medical Image Segmentation Techniques (51 papers), Retinal Imaging and Analysis (19 papers) and AI in cancer detection (19 papers). Hong Song collaborates with scholars based in China, United Kingdom and United States. Hong Song's co-authors include Jian Yang, Danni Ai, Yongtian Wang, Lei Chen, Yong Huang, Jingfan Fan, Shuliang Wang, Syed Furqan Qadri, Mubashir Ahmad and Yurong Jiang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Hong Song i

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Fields of papers citing papers by Hong Song

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

Countries citing papers authored by Hong Song

Since Specialization

Citations

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

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