Ya Dai
About
Ya Dai is a scholar working on Plant Science, Biomedical Engineering and Molecular Biology.
According to data from OpenAlex, Ya Dai has authored 29 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 9 papers in Biomedical Engineering and 8 papers in Molecular Biology. Recurrent topics in Ya Dai’s work include Electrochemical sensors and biosensors (4 papers), Enzyme-mediated dye degradation (4 papers) and Polysaccharides and Plant Cell Walls (4 papers). Ya Dai is often cited by papers focused on Electrochemical sensors and biosensors (4 papers), Enzyme-mediated dye degradation (4 papers) and Polysaccharides and Plant Cell Walls (4 papers). Ya Dai collaborates with scholars based in China. Ya Dai's co-authors include Qingliang Liu, Chunhua Shi, Yongshu Xie, Changguo Wang and Xiaolong Xu and has published in prestigious journals such as The Plant Cell, Bioresource Technology and Journal of Agricultural and Food Chemistry.
In The Last Decade
Fields of papers citing papers by Ya 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 Ya Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ya Dai may publish in the future.
Countries citing papers authored by Ya Dai
Since SpecializationCitations
This map shows the geographic impact of Ya 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 Ya Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Dai more than expected).
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