Quan Lu

About

Quan Lu is a scholar working on Artificial Intelligence, Information Systems and Marketing. According to data from OpenAlex, Quan Lu has authored 12 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Marketing. Recurrent topics in Quan Lu’s work include Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (4 papers) and Auction Theory and Applications (2 papers). Quan Lu is often cited by papers focused on Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (4 papers) and Auction Theory and Applications (2 papers). Quan Lu collaborates with scholars based in China, United States and Singapore. Quan Lu's co-authors include Liangyue Li, Hui Xue, Ting Liu, Fei Xiong and Kuang-Chih Lee and has published in prestigious journals such as Applied Stochastic Models in Business and Industry and Behavioral Sciences.

In The Last Decade

Fields of papers citing papers by Quan Lu

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

Countries citing papers authored by Quan Lu

Since Specialization

Citations

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

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