Dai

About

Dai is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Dai has authored 68 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 5 papers in Ecology. Recurrent topics in Dai’s work include Cryospheric studies and observations (4 papers), Geological and Geochemical Analysis (4 papers) and Environmental Changes in China (4 papers). Dai is often cited by papers focused on Cryospheric studies and observations (4 papers), Geological and Geochemical Analysis (4 papers) and Environmental Changes in China (4 papers). Dai collaborates with scholars based in China, United Kingdom and Switzerland. Dai's co-authors include LI -, Limin Limin, Wang, Fang and Xu and has published in prestigious journals such as Journal of Statistical Software, International Journal of Nanomedicine and Immunology.

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).

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