Xin Dai
About
Xin Dai is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Cancer Research.
According to data from OpenAlex, Xin Dai has authored 256 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 56 papers in Molecular Biology and 29 papers in Cancer Research. Recurrent topics in Xin Dai’s work include Advancements in Battery Materials (32 papers), Advanced Battery Materials and Technologies (26 papers) and Supercapacitor Materials and Fabrication (20 papers). Xin Dai is often cited by papers focused on Advancements in Battery Materials (32 papers), Advanced Battery Materials and Technologies (26 papers) and Supercapacitor Materials and Fabrication (20 papers). Xin Dai collaborates with scholars based in China, United States and Australia. Xin Dai's co-authors include Yuanzhen Chen, Yongning Liu, Junjie Sun, Kunyang Zou and Qiang Tan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.
In The Last Decade
Fields of papers citing papers by Xin Dai
Since SpecializationEngineeringComputer 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 Xin Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xin Dai may publish in the future.
Countries citing papers authored by Xin Dai
Since SpecializationCitations
This map shows the geographic impact of Xin 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 Xin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Dai more than expected).
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