Ying Xia

About

Ying Xia is a scholar working on Polymers and Plastics, Organic Chemistry and Biomaterials. According to data from OpenAlex, Ying Xia has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Polymers and Plastics, 18 papers in Organic Chemistry and 16 papers in Biomaterials. Recurrent topics in Ying Xia’s work include Self-Healing Polymer Materials (21 papers), biodegradable polymer synthesis and properties (13 papers) and Synthetic Organic Chemistry Methods (13 papers). Ying Xia is often cited by papers focused on Self-Healing Polymer Materials (21 papers), biodegradable polymer synthesis and properties (13 papers) and Synthetic Organic Chemistry Methods (13 papers). Ying Xia collaborates with scholars based in China, United States and Egypt. Ying Xia's co-authors include Richard C. Larock, Michael R. Kessler, Qing Zhu, Jing Guo and Samy A. Madbouly and has published in prestigious journals such as Macromolecules, Polymer and Green Chemistry.

In The Last Decade

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

Countries citing papers authored by Ying Xia

Since Specialization

Citations

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

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