Nan Mei

About

Nan Mei is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology. According to data from OpenAlex, Nan Mei has authored 22 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Neurology and 5 papers in Epidemiology. Recurrent topics in Nan Mei’s work include Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and Long-Term Effects of COVID-19 (5 papers). Nan Mei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and Long-Term Effects of COVID-19 (5 papers). Nan Mei collaborates with scholars based in China, United Kingdom and Australia. Nan Mei's co-authors include Xuanxuan Li, Bo Yin, Yiping Lu, Anling Xiao and Dongdong Wang and has published in prestigious journals such as Journal of Hazardous Materials, European Radiology and Frontiers in Oncology.

In The Last Decade

Fields of papers citing papers by Nan Mei

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

Countries citing papers authored by Nan Mei

Since Specialization

Citations

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

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