Jie Dai

About

Jie Dai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Jie Dai has authored 29 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Materials Chemistry and 7 papers in Biomedical Engineering. Recurrent topics in Jie Dai’s work include Gas Sensing Nanomaterials and Sensors (9 papers), 2D Materials and Applications (6 papers) and Nanoplatforms for cancer theranostics (4 papers). Jie Dai is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (9 papers), 2D Materials and Applications (6 papers) and Nanoplatforms for cancer theranostics (4 papers). Jie Dai collaborates with scholars based in China, United Kingdom and Macao. Jie Dai's co-authors include Xiao Huang, Hai Li, Xiaoshan Wang and Shaozhi Fu and has published in prestigious journals such as Chemical Society Reviews, ACS Nano and Advanced Functional Materials.

In The Last Decade

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

Countries citing papers authored by Jie Dai

Since Specialization

Citations

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

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