Ge Yang
About
Ge Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics.
According to data from OpenAlex, Ge Yang has authored 35 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Ge Yang’s work include Industrial Vision Systems and Defect Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Neural Network Applications (4 papers). Ge Yang is often cited by papers focused on Industrial Vision Systems and Defect Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Neural Network Applications (4 papers). Ge Yang collaborates with scholars based in China, United States and Australia. Ge Yang's co-authors include Jay Lin, Alpesh Amin, Gagan Agrawal, Ruoming Jin, Bradley J. Nelson, J. A. Gaines, Liang‐Shih Fan, Runwei Ding, Yu Zhao and Shaowei Wang and has published in prestigious journals such as American Journal of Epidemiology, IEEE Transactions on Industrial Electronics and Energy.
In The Last Decade
Co-authorship network of co-authors of Ge Yang i
Fields of papers citing papers by Ge 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 Ge Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ge Yang may publish in the future.
Countries citing papers authored by Ge Yang
Since SpecializationCitations
This map shows the geographic impact of Ge 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 Ge Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Yang more than expected).
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