Qingyun Dai
About
Qingyun Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering.
According to data from OpenAlex, Qingyun Dai has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 15 papers in Industrial and Manufacturing Engineering. Recurrent topics in Qingyun Dai’s work include Image and Signal Denoising Methods (7 papers), Advanced Manufacturing and Logistics Optimization (7 papers) and Digital Filter Design and Implementation (7 papers). Qingyun Dai is often cited by papers focused on Image and Signal Denoising Methods (7 papers), Advanced Manufacturing and Logistics Optimization (7 papers) and Digital Filter Design and Implementation (7 papers). Qingyun Dai collaborates with scholars based in China, Hong Kong and United Kingdom. Qingyun Dai's co-authors include George Q. Huang, Ray Y. Zhong, Xu Chen, Ting Qu, Guiping Hu, Shulin Lan, Bingo Wing‐Kuen Ling, Shulin Lan, Tao Zhang and Huimin Zhao and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.
In The Last Decade
Co-authorship network of co-authors of Qingyun Dai i
Fields of papers citing papers by Qingyun Dai
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 Qingyun Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Qingyun Dai may publish in the future.
Countries citing papers authored by Qingyun Dai
Since SpecializationCitations
This map shows the geographic impact of Qingyun 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 Qingyun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyun Dai more than expected).
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