Liang-Yan Gui

About

Liang-Yan Gui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Liang-Yan Gui has authored 13 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Liang-Yan Gui’s work include Multimodal Machine Learning Applications (2 papers), Visual Attention and Saliency Detection (2 papers) and Speech and dialogue systems (2 papers). Liang-Yan Gui is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Visual Attention and Saliency Detection (2 papers) and Speech and dialogue systems (2 papers). Liang-Yan Gui collaborates with scholars based in United States, China and Portugal. Liang-Yan Gui's co-authors include Yu-Xiong Wang, José M. F. Moura, Hsin-Ying Lee, Manuela Veloso, Alexander G. Schwing, Sergey Tulyakov, Xiaodan Liang, Dhiraj Joshi, Shengcao Cao and Zhengyuan Li and has published in prestigious journals such as NeuroImage, IEEE Control Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Liang-Yan Gui i

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Fields of papers citing papers by Liang-Yan Gui

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

Countries citing papers authored by Liang-Yan Gui

Since Specialization

Citations

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

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