Xiang Ren
About
Xiang Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems.
According to data from OpenAlex, Xiang Ren has authored 133 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Xiang Ren’s work include Topic Modeling (97 papers), Natural Language Processing Techniques (69 papers) and Advanced Graph Neural Networks (22 papers). Xiang Ren is often cited by papers focused on Topic Modeling (97 papers), Natural Language Processing Techniques (69 papers) and Advanced Graph Neural Networks (22 papers). Xiang Ren collaborates with scholars based in United States, China and India. Xiang Ren's co-authors include Jiawei Han, Bill Yuchen Lin, Jingbo Shang, Meng Qu and Woojeong Jin and has published in prestigious journals such as Bioinformatics, American Sociological Review and International Journal of Computer Vision.
In The Last Decade
Fields of papers citing papers by Xiang Ren
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 Xiang Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiang Ren may publish in the future.
Countries citing papers authored by Xiang Ren
Since SpecializationCitations
This map shows the geographic impact of Xiang Ren'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 Xiang Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Ren more than expected).
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