Ping Dai

About

Ping Dai is a scholar working on Aquatic Science, Genetics and Ecology. According to data from OpenAlex, Ping Dai has authored 41 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Aquatic Science, 14 papers in Genetics and 14 papers in Ecology. Recurrent topics in Ping Dai’s work include Aquaculture Nutrition and Growth (24 papers), Genetic and phenotypic traits in livestock (11 papers) and Crustacean biology and ecology (8 papers). Ping Dai is often cited by papers focused on Aquaculture Nutrition and Growth (24 papers), Genetic and phenotypic traits in livestock (11 papers) and Crustacean biology and ecology (8 papers). Ping Dai collaborates with scholars based in China. Ping Dai's co-authors include Sheng Luan, Kun Luo, Xianhong Meng, Baoxiang Cao and Jie Kong and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Fields of papers citing papers by Ping Dai

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

Countries citing papers authored by Ping Dai

Since Specialization

Citations

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

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