Chao Xin

About

Chao Xin is a scholar working on Molecular Biology, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chao Xin has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Physiology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chao Xin’s work include Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (7 papers) and Adipose Tissue and Metabolism (7 papers). Chao Xin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (7 papers) and Adipose Tissue and Metabolism (7 papers). Chao Xin collaborates with scholars based in China and United States. Chao Xin's co-authors include Ling Tao, Di Zhu, Tong Tong, Zheng Zhang and Zhitao Jin and has published in prestigious journals such as PLoS ONE, Diabetes and International Journal of Obesity.

In The Last Decade

Fields of papers citing papers by Chao Xin

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

Countries citing papers authored by Chao Xin

Since Specialization

Citations

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

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