Yu Gai

About

Yu Gai is a scholar working on Artificial Intelligence, Aerospace Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Yu Gai has authored 13 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Aerospace Engineering and 3 papers in Surfaces, Coatings and Films. Recurrent topics in Yu Gai’s work include Icing and De-icing Technologies (3 papers), Surface Modification and Superhydrophobicity (3 papers) and Adhesion, Friction, and Surface Interactions (2 papers). Yu Gai is often cited by papers focused on Icing and De-icing Technologies (3 papers), Surface Modification and Superhydrophobicity (3 papers) and Adhesion, Friction, and Surface Interactions (2 papers). Yu Gai collaborates with scholars based in China, United States and Belgium. Yu Gai's co-authors include Xu Dai, Tao Zhu, Ruijin Liao and Shu‐Ping Wan and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Journal of Membrane Science.

In The Last Decade

Fields of papers citing papers by Yu Gai

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

Countries citing papers authored by Yu Gai

Since Specialization

Citations

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

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