Peng Dai
About
Peng Dai has authored 12 papers that have received a total of 168 indexed citations.
This includes 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. The topics of these papers are Topic Modeling (3 papers), Advanced Graph Neural Networks (3 papers) and Recommender Systems and Techniques (3 papers). Peng Dai is often cited by papers focused on Topic Modeling (3 papers), Advanced Graph Neural Networks (3 papers) and Recommender Systems and Techniques (3 papers) and collaborates with scholars based in China, United States and Australia. Peng Dai's co-authors include Liefeng Bo, Lianghao Xia, Yong Xu, Chao Huang and Shengchun Wang and has published in prestigious journals such as IEEE Access, Electronics Letters and IEEE Transactions on Instrumentation and Measurement.
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