Dai Fen

About

Dai Fen is a scholar working on Plant Science, Food Science and Analytical Chemistry. According to data from OpenAlex, Dai Fen has authored 33 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Food Science and 5 papers in Analytical Chemistry. Recurrent topics in Dai Fen’s work include Spectroscopy and Chemometric Analyses (5 papers), Psidium guajava Extracts and Applications (3 papers) and Phytochemicals and Antioxidant Activities (3 papers). Dai Fen is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Psidium guajava Extracts and Applications (3 papers) and Phytochemicals and Antioxidant Activities (3 papers). Dai Fen collaborates with scholars based in China. Dai Fen's co-authors include Zuoyi Zhu, Jiarong Yao, Xiaoling Deng and Changxing Wu and has published in prestigious journals such as Food Chemistry, Carbohydrate Polymers and Gene.

In The Last Decade

Fields of papers citing papers by Dai Fen

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

Countries citing papers authored by Dai Fen

Since Specialization

Citations

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

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