Shaohua Yang
About
Shaohua Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Shaohua Yang has authored 8 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Shaohua Yang’s work include Multimodal Machine Learning Applications (2 papers), Natural Language Processing Techniques (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Shaohua Yang is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Natural Language Processing Techniques (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Shaohua Yang collaborates with scholars based in United States, China and Japan. Shaohua Yang's co-authors include Joyce Chai, Qiaozi Gao, Ning Xi, Yunyi Jia, Yu Cheng, Lanbo She, Song-Chun Zhu, Changsong Liu, Caiming Xiong and Lucy Vanderwende and has published in prestigious journals such as Sensors and Actuators A Physical, Chinese Physics C and Biomedical Engineering / Biomedizinische Technik.
In The Last Decade
Co-authorship network of co-authors of Shaohua Yang i
Fields of papers citing papers by Shaohua Yang
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 Shaohua Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shaohua Yang may publish in the future.
Countries citing papers authored by Shaohua Yang
Since SpecializationCitations
This map shows the geographic impact of Shaohua Yang'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 Shaohua Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohua Yang more than expected).
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