Shu Wu
About
Shu Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Shu Wu has authored 83 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 36 papers in Information Systems and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shu Wu’s work include Recommender Systems and Techniques (30 papers), Advanced Graph Neural Networks (28 papers) and Topic Modeling (20 papers). Shu Wu is often cited by papers focused on Recommender Systems and Techniques (30 papers), Advanced Graph Neural Networks (28 papers) and Topic Modeling (20 papers). Shu Wu collaborates with scholars based in China, United States and Canada. Shu Wu's co-authors include Liang Wang, Tieniu Tan, Yanqiao Zhu and Mengqi Zhang and has published in prestigious journals such as Expert Systems with Applications, ACM Transactions on Graphics and Advanced Science.
In The Last Decade
Fields of papers citing papers by Shu Wu
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 Shu Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shu Wu may publish in the future.
Countries citing papers authored by Shu Wu
Since SpecializationCitations
This map shows the geographic impact of Shu 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 Shu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Wu more than expected).
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