Gao Huang
About
Gao Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Organic Chemistry.
According to data from OpenAlex, Gao Huang has authored 164 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Vision and Pattern Recognition, 93 papers in Artificial Intelligence and 13 papers in Organic Chemistry. Recurrent topics in Gao Huang’s work include Domain Adaptation and Few-Shot Learning (52 papers), Advanced Neural Network Applications (43 papers) and Multimodal Machine Learning Applications (27 papers). Gao Huang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (52 papers), Advanced Neural Network Applications (43 papers) and Multimodal Machine Learning Applications (27 papers). Gao Huang collaborates with scholars based in China, United States and Hong Kong. Gao Huang's co-authors include Shiji Song, Shiji Song, Shuang Li, Yulin Wang and Le Yang and has published in prestigious journals such as Science, Applied Physics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.
In The Last Decade
Fields of papers citing papers by Gao Huang
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 Gao Huang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gao Huang may publish in the future.
Countries citing papers authored by Gao Huang
Since SpecializationCitations
This map shows the geographic impact of Gao Huang'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 Gao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gao Huang more than expected).
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