Tie Dai

39 papers and 456 indexed citations i.

About

Tie Dai is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Tie Dai has authored 39 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 37 papers in Atmospheric Science and 3 papers in Artificial Intelligence. Recurrent topics in Tie Dai’s work include Atmospheric aerosols and clouds (34 papers), Atmospheric chemistry and aerosols (32 papers) and Atmospheric Ozone and Climate (16 papers). Tie Dai is often cited by papers focused on Atmospheric aerosols and clouds (34 papers), Atmospheric chemistry and aerosols (32 papers) and Atmospheric Ozone and Climate (16 papers). Tie Dai collaborates with scholars based in China, Japan and The Netherlands. Tie Dai's co-authors include Guangyu Shi, Teruyuki Nakajima, Yueming Cheng, Daisuke Goto and Nick Schutgens and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Environmental Pollution.

In The Last Decade

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

Countries citing papers authored by Tie Dai

Since Specialization
Citations

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

Rankless by CCL
2025