Peng Dai
About
Peng Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems.
According to data from OpenAlex, Peng Dai has authored 12 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Peng Dai’s work include Advanced Graph Neural Networks (3 papers), Recommender Systems and Techniques (3 papers) and Topic Modeling (3 papers). Peng Dai is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Recommender Systems and Techniques (3 papers) and Topic Modeling (3 papers). Peng Dai collaborates with scholars based in China, United States and Australia. Peng Dai's co-authors include Liefeng Bo, Lianghao Xia, Chao Huang, Yong Xu, Hao Xing, Yanfang Ye, Jimmy Xiangji Huang, Yanqing Chen, Jiashu Zhao and Jiahui Chen and has published in prestigious journals such as IEEE Access, Electronics Letters and IEEE Transactions on Instrumentation and Measurement.
In The Last Decade
Co-authorship network of co-authors of Peng Dai i
Fields of papers citing papers by Peng 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 Peng Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Peng Dai may publish in the future.
Countries citing papers authored by Peng Dai
Since SpecializationCitations
This map shows the geographic impact of Peng 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 Peng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Dai more than expected).
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