Daiyi Peng
About
Daiyi Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry.
According to data from OpenAlex, Daiyi Peng has authored 4 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Materials Chemistry. Recurrent topics in Daiyi Peng’s work include Advanced Neural Network Applications (2 papers), Remote Sensing and LiDAR Applications (1 paper) and Evolutionary Algorithms and Applications (1 paper). Daiyi Peng is often cited by papers focused on Advanced Neural Network Applications (2 papers), Remote Sensing and LiDAR Applications (1 paper) and Evolutionary Algorithms and Applications (1 paper). Daiyi Peng collaborates with scholars based in United States and Australia. Daiyi Peng's co-authors include Adams Wei Yu, Mingxing Tan, Quoc V. Le, Alan Yuille, Junyang Shen, Tianjian Meng, Yingwei Li, Jiquan Ngiam, Yifeng Lu and Denny Zhou and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Neural Information Processing Systems.
In The Last Decade
Co-authorship network of co-authors of Daiyi Peng i
Fields of papers citing papers by Daiyi Peng
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 Daiyi Peng. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daiyi Peng may publish in the future.
Countries citing papers authored by Daiyi Peng
Since SpecializationCitations
This map shows the geographic impact of Daiyi Peng'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 Daiyi Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiyi Peng more than expected).
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