Kun Lv

About

Kun Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kun Lv has authored 41 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Surgery and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kun Lv’s work include Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (5 papers). Kun Lv is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (5 papers). Kun Lv collaborates with scholars based in China, United States and United Kingdom. Kun Lv's co-authors include Maosheng Xu, Daoying Geng, Yanan Zhao, Pintong Huang and Wenwen Song and has published in prestigious journals such as PLoS ONE, Food Chemistry and Journal of neurosurgery.

In The Last Decade

Fields of papers citing papers by Kun Lv

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

Countries citing papers authored by Kun Lv

Since Specialization

Citations

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

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