Shengxiang Gao
About
Shengxiang Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Shengxiang Gao has authored 51 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Shengxiang Gao’s work include Topic Modeling (21 papers), Natural Language Processing Techniques (18 papers) and Multimodal Machine Learning Applications (10 papers). Shengxiang Gao is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (18 papers) and Multimodal Machine Learning Applications (10 papers). Shengxiang Gao collaborates with scholars based in China, United States and Australia. Shengxiang Gao's co-authors include Zhengtao Yu, Yunbin Tu, Feng Li, Chang Zhou, Taisong Jin, Cunli Mao, Zhenqiu Shu, Ming Yin, Xin Yan and Chenggang Yan and has published in prestigious journals such as Chemical Society Reviews, Advanced Functional Materials and ACS Applied Materials & Interfaces.
In The Last Decade
Co-authorship network of co-authors of Shengxiang Gao i
Fields of papers citing papers by Shengxiang Gao
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 Shengxiang Gao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shengxiang Gao may publish in the future.
Countries citing papers authored by Shengxiang Gao
Since SpecializationCitations
This map shows the geographic impact of Shengxiang Gao'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 Shengxiang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengxiang Gao more than expected).
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