Dayan Guan
About
Dayan Guan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics.
According to data from OpenAlex, Dayan Guan has authored 25 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Dayan Guan’s work include Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (12 papers) and Multimodal Machine Learning Applications (6 papers). Dayan Guan is often cited by papers focused on Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (12 papers) and Multimodal Machine Learning Applications (6 papers). Dayan Guan collaborates with scholars based in Singapore, China and United Arab Emirates. Dayan Guan's co-authors include Shijian Lu, Aoran Xiao, Jiaxing Huang, Yanpeng Cao, Yanlong Cao, Jiangxin Yang, Michael Ying Yang, Ling Shao, Jiaxing Huang and Yu Qiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and ISPRS Journal of Photogrammetry and Remote Sensing.
In The Last Decade
Co-authorship network of co-authors of Dayan Guan i
Fields of papers citing papers by Dayan Guan
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 Dayan Guan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dayan Guan may publish in the future.
Countries citing papers authored by Dayan Guan
Since SpecializationCitations
This map shows the geographic impact of Dayan Guan'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 Dayan Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayan Guan more than expected).
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