Peng Dai

About

Peng Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Peng Dai has authored 22 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Peng Dai’s work include Speech and Audio Processing (8 papers), Music and Audio Processing (7 papers) and Multimodal Machine Learning Applications (5 papers). Peng Dai is often cited by papers focused on Speech and Audio Processing (8 papers), Music and Audio Processing (7 papers) and Multimodal Machine Learning Applications (5 papers). Peng Dai collaborates with scholars based in Canada, Singapore and China. Peng Dai's co-authors include Juwei Lu, Ing Yann Soon, Qiong Zhang, Shen-Shyang Ho, Frank Rudzicz, Michael Borrie, Femida Gwadry‐Sridhar, Michael Bauer, Yaoxin Li and S. Muralidharan and has published in prestigious journals such as Cell Death and Differentiation, IEEE Transactions on Neural Networks and Learning Systems and Knowledge-Based Systems.

In The Last Decade

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

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Fields of papers citing papers by Peng 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 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 Specialization

Citations

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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