Xuemeng Song

About

Xuemeng Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xuemeng Song has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 14 papers in Information Systems. Recurrent topics in Xuemeng Song’s work include Multimodal Machine Learning Applications (23 papers), Generative Adversarial Networks and Image Synthesis (18 papers) and Topic Modeling (18 papers). Xuemeng Song is often cited by papers focused on Multimodal Machine Learning Applications (23 papers), Generative Adversarial Networks and Image Synthesis (18 papers) and Topic Modeling (18 papers). Xuemeng Song collaborates with scholars based in China, Singapore and Australia. Xuemeng Song's co-authors include Liqiang Nie, Tat‐Seng Chua, Fuli Feng, Luming Zhang, Xianjing Han, Xiaojun Chang, Jun Ma, Xin Yang, Zhiyong Cheng and Xiang Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Materials Science and Engineering A.

In The Last Decade

Co-authorship network of co-authors of Xuemeng Song i

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Fields of papers citing papers by Xuemeng Song

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

Countries citing papers authored by Xuemeng Song

Since Specialization

Citations

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

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