Meng Dai
About
Meng Dai is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology.
According to data from OpenAlex, Meng Dai has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Oncology. Recurrent topics in Meng Dai’s work include Radiomics and Machine Learning in Medical Imaging (9 papers), Microbial Natural Products and Biosynthesis (5 papers) and COVID-19 diagnosis using AI (4 papers). Meng Dai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Microbial Natural Products and Biosynthesis (5 papers) and COVID-19 diagnosis using AI (4 papers). Meng Dai collaborates with scholars based in China, Hong Kong and United States. Meng Dai's co-authors include Christophe Gerald, Beth Borowsky, Theresa A. Branchek, Margaret M. Durkin, Stewart A. Noble, Thomas M. Laz, Kelli E. Smith, Dhanapalan Nagarathnam, Douglas A. Craig and John Salon and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Clinical Infectious Diseases.
In The Last Decade
Co-authorship network of co-authors of Meng Dai i
Fields of papers citing papers by Meng Dai
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 Meng Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Meng Dai may publish in the future.
Countries citing papers authored by Meng Dai
Since SpecializationCitations
This map shows the geographic impact of Meng Dai'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 Meng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Dai more than expected).
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