Gang Yang
About
Gang Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Gang Yang has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gang Yang’s work include Multimodal Machine Learning Applications (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Neural Networks and Applications (8 papers). Gang Yang is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Neural Networks and Applications (8 papers). Gang Yang collaborates with scholars based in China, Japan and United States. Gang Yang's co-authors include Gongguo Tang, Thomas S. Huang, Xirong Li, Chaoxi Xu, Yiyun Zhu, Guochen Sang, Shangce Gao, Jianfeng Dong, Haobo Zhang and Xun Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.
In The Last Decade
Co-authorship network of co-authors of Gang Yang i
Fields of papers citing papers by Gang 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 Gang Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Yang may publish in the future.
Countries citing papers authored by Gang Yang
Since SpecializationCitations
This map shows the geographic impact of Gang 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 Gang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Yang more than expected).
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