Dai

72 papers and 427 indexed citations i.

About

Dai is a scholar working on Plant Science, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dai has authored 72 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 8 papers in Insect Science and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dai’s work include Rice Cultivation and Yield Improvement (12 papers), Plant Virus Research Studies (6 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Dai is often cited by papers focused on Rice Cultivation and Yield Improvement (12 papers), Plant Virus Research Studies (6 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Dai collaborates with scholars based in Australia. Dai's co-authors include Li, Zhang, Jiang, Han and Liu and has published in prestigious journals such as Organic Letters and Clinical & Experimental Allergy.

In The Last Decade

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

Countries citing papers authored by Dai

Since Specialization
Citations

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

Rankless by CCL
2025