Jun Lian
About
Jun Lian is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Radiation.
According to data from OpenAlex, Jun Lian has authored 77 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Computer Vision and Pattern Recognition and 27 papers in Radiation. Recurrent topics in Jun Lian’s work include Advanced Radiotherapy Techniques (27 papers), Medical Imaging Techniques and Applications (18 papers) and Medical Image Segmentation Techniques (15 papers). Jun Lian is often cited by papers focused on Advanced Radiotherapy Techniques (27 papers), Medical Imaging Techniques and Applications (18 papers) and Medical Image Segmentation Techniques (15 papers). Jun Lian collaborates with scholars based in United States, China and South Korea. Jun Lian's co-authors include Dinggang Shen, Dong Nie, Qian Wang, Caroline Petitjean, Su Ruan, Roger Trullo, Li Wang, Yaozong Gao, Jiayin Kang and Tri Huynh and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and International Journal of Radiation Oncology*Biology*Physics.
In The Last Decade
Co-authorship network of co-authors of Jun Lian i
Fields of papers citing papers by Jun Lian
Since SpecializationEngineeringComputer 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 Jun Lian. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Lian may publish in the future.
Countries citing papers authored by Jun Lian
Since SpecializationCitations
This map shows the geographic impact of Jun Lian'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 Jun Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lian more than expected).
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