Tun Lu

About

Tun Lu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tun Lu has authored 69 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 24 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Tun Lu’s work include Recommender Systems and Techniques (20 papers), Topic Modeling (9 papers) and Complex Network Analysis Techniques (6 papers). Tun Lu is often cited by papers focused on Recommender Systems and Techniques (20 papers), Topic Modeling (9 papers) and Complex Network Analysis Techniques (6 papers). Tun Lu collaborates with scholars based in China, United States and United Kingdom. Tun Lu's co-authors include Ning Gu, Dongsheng Li, Hansu Gu and Li Shang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Computers in Human Behavior.

In The Last Decade

Fields of papers citing papers by Tun 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 Tun Lu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tun Lu may publish in the future.

Countries citing papers authored by Tun Lu

Since Specialization

Citations

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

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