Kai Xia

About

Kai Xia is a scholar working on Plant Science, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Kai Xia has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 23 papers in Molecular Biology and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Kai Xia’s work include Plant Molecular Biology Research (9 papers), Plant Stress Responses and Tolerance (8 papers) and Perovskite Materials and Applications (6 papers). Kai Xia is often cited by papers focused on Plant Molecular Biology Research (9 papers), Plant Stress Responses and Tolerance (8 papers) and Perovskite Materials and Applications (6 papers). Kai Xia collaborates with scholars based in China, Japan and United Kingdom. Kai Xia's co-authors include Lijun Gan, Changhua Zhu, Vincenzo Pecunia, Shucai Wang and Xie Zhou and has published in prestigious journals such as PLoS ONE, Advanced Energy Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Fields of papers citing papers by Kai Xia

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 Kai Xia. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Xia may publish in the future.

Countries citing papers authored by Kai Xia

Since Specialization

Citations

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

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