Song Liu

About

Song Liu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Song Liu has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pulmonary and Respiratory Medicine, 38 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Surgery. Recurrent topics in Song Liu’s work include Radiomics and Machine Learning in Medical Imaging (31 papers), Gastric Cancer Management and Outcomes (31 papers) and MRI in cancer diagnosis (18 papers). Song Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (31 papers), Gastric Cancer Management and Outcomes (31 papers) and MRI in cancer diagnosis (18 papers). Song Liu collaborates with scholars based in China, United States and France. Song Liu's co-authors include Jian He, Zhengyang Zhou, Wenxian Guan, Yue Guan and Yun Ge and has published in prestigious journals such as Journal of Clinical Oncology, Nano Letters and Blood.

In The Last Decade

Fields of papers citing papers by Song Liu

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

Countries citing papers authored by Song Liu

Since Specialization

Citations

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

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