Xin Lv

About

Xin Lv is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Xin Lv has authored 28 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Environmental Engineering. Recurrent topics in Xin Lv’s work include Topic Modeling (8 papers), Advanced Graph Neural Networks (7 papers) and Music and Audio Processing (3 papers). Xin Lv is often cited by papers focused on Topic Modeling (8 papers), Advanced Graph Neural Networks (7 papers) and Music and Audio Processing (3 papers). Xin Lv collaborates with scholars based in China, United States and Singapore. Xin Lv's co-authors include Juanzi Li, Lei Hou, Zhiyuan Liu, Yingchun Li, Feng Yu, Hui Tang, Jiang Liu, Qunhui Yuan, Xu Han and Rongjian Zhao and has published in prestigious journals such as Frontiers in Plant Science, IEEE Access and RSC Advances.

In The Last Decade

Co-authorship network of co-authors of Xin Lv i

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

Countries citing papers authored by Xin Lv

Since Specialization

Citations

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

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