Kun Yao

About

Kun Yao is a scholar working on Materials Chemistry, Polymers and Plastics and Computational Theory and Mathematics. According to data from OpenAlex, Kun Yao has authored 62 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 17 papers in Polymers and Plastics and 10 papers in Computational Theory and Mathematics. Recurrent topics in Kun Yao’s work include Machine Learning in Materials Science (10 papers), Computational Drug Discovery Methods (10 papers) and Polymer Nanocomposites and Properties (9 papers). Kun Yao is often cited by papers focused on Machine Learning in Materials Science (10 papers), Computational Drug Discovery Methods (10 papers) and Polymer Nanocomposites and Properties (9 papers). Kun Yao collaborates with scholars based in China, United States and Poland. Kun Yao's co-authors include Tao Tang, Jiang Gong, John Parkhill, Zhiwei Jiang and Haiying Tan and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and ACS Nano.

In The Last Decade

Fields of papers citing papers by Kun Yao

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

Countries citing papers authored by Kun Yao

Since Specialization

Citations

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

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