Yurui Ren
About
Yurui Ren is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design.
According to data from OpenAlex, Yurui Ren has authored 11 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yurui Ren’s work include Advanced Vision and Imaging (6 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Computer Graphics and Visualization Techniques (2 papers). Yurui Ren is often cited by papers focused on Advanced Vision and Imaging (6 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Computer Graphics and Visualization Techniques (2 papers). Yurui Ren collaborates with scholars based in China and United States. Yurui Ren's co-authors include Thomas H. Li, Ge Li, Shan Liu, Zhenqiang Ying, Ruonan Zhang, Xiaoming Yu, Yuanqi Chen, Ge Li, Jia-Xing Zhong and Yubo Wu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
In The Last Decade
Co-authorship network of co-authors of Yurui Ren i
Fields of papers citing papers by Yurui Ren
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 Yurui Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yurui Ren may publish in the future.
Countries citing papers authored by Yurui Ren
Since SpecializationCitations
This map shows the geographic impact of Yurui Ren'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 Yurui Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yurui Ren more than expected).
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