Yuying Ge
About
Yuying Ge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics.
According to data from OpenAlex, Yuying Ge has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Yuying Ge’s work include Multimodal Machine Learning Applications (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yuying Ge is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yuying Ge collaborates with scholars based in China, Hong Kong and United States. Yuying Ge's co-authors include Ping Luo, Ruimao Zhang, Xiaogang Wang, Xiaoou Tang, Chongjian Ge, Wei Liu, Yibing Song, Liang Lin, Jingyu Li and Han Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
In The Last Decade
Co-authorship network of co-authors of Yuying Ge i
Fields of papers citing papers by Yuying Ge
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 Yuying Ge. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yuying Ge may publish in the future.
Countries citing papers authored by Yuying Ge
Since SpecializationCitations
This map shows the geographic impact of Yuying Ge'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 Yuying Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuying Ge more than expected).
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