Guang Dai

About

Guang Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Guang Dai has authored 41 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Guang Dai’s work include Face and Expression Recognition (17 papers), Sparse and Compressive Sensing Techniques (6 papers) and Bayesian Methods and Mixture Models (4 papers). Guang Dai is often cited by papers focused on Face and Expression Recognition (17 papers), Sparse and Compressive Sensing Techniques (6 papers) and Bayesian Methods and Mixture Models (4 papers). Guang Dai collaborates with scholars based in China, Hong Kong and United States. Guang Dai's co-authors include Dit–Yan Yeung, Zhihua Zhang, Michael I. Jordan, Dit‐Yan Yeung, Congfu Xu, Hui Qian, Zhihua Zhang, Yuntao Qian, Dit-Yan Yeung and Hong Chang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Guang Dai i

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Fields of papers citing papers by Guang Dai

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

Countries citing papers authored by Guang Dai

Since Specialization

Citations

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

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