Dekai Wu

76 papers and 1.2k indexed citations i.

About

Dekai Wu is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Dekai Wu has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computational Theory and Mathematics. Recurrent topics in Dekai Wu’s work include Natural Language Processing Techniques (66 papers), Topic Modeling (60 papers) and Speech and dialogue systems (17 papers). Dekai Wu is often cited by papers focused on Natural Language Processing Techniques (66 papers), Topic Modeling (60 papers) and Speech and dialogue systems (17 papers). Dekai Wu collaborates with scholars based in Hong Kong, United States and Sweden. Dekai Wu's co-authors include Marine Carpuat, Chi-kiu Lo, Grace Ngai, Weifeng Su and Yongsheng Yang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Behavioral and Brain Sciences and Artificial Intelligence Review.

In The Last Decade

Fields of papers citing papers by Dekai Wu

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 Dekai Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dekai Wu may publish in the future.

Countries citing papers authored by Dekai Wu

Since Specialization
Citations

This map shows the geographic impact of Dekai Wu'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 Dekai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dekai Wu more than expected).

Rankless by CCL
2025