Shangwen Lv

8 papers and 184 indexed citations i.

About

Shangwen Lv is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Shangwen Lv has authored 8 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Sociology and Political Science. Recurrent topics in Shangwen Lv’s work include Topic Modeling (7 papers), Advanced Graph Neural Networks (4 papers) and Natural Language Processing Techniques (4 papers). Shangwen Lv is often cited by papers focused on Topic Modeling (7 papers), Advanced Graph Neural Networks (4 papers) and Natural Language Processing Techniques (4 papers). Shangwen Lv collaborates with scholars based in China, Finland and Taiwan. Shangwen Lv's co-authors include Songlin Hu, Jizhong Han, Longtao Huang and Fuqing Zhu and has published in prestigious journals such as Neural Networks, Data Mining and Knowledge Discovery and World Wide Web.

In The Last Decade

Fields of papers citing papers by Shangwen Lv

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

Countries citing papers authored by Shangwen Lv

Since Specialization
Citations

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

Rankless by CCL
2025