Jingfeng Wu
About
Jingfeng Wu has authored 7 papers that have received a total of 67 indexed citations.
This includes 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. The topics of these papers are Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). Jingfeng Wu is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Markov Chains and Monte Carlo Methods (2 papers) and collaborates with scholars based in China and United States. Jingfeng Wu's co-authors include Jinwen Ma, Zhanxing Zhu, Jun Huan, Chuankai Yang and Jiao Wang and has published in prestigious journals such as and .
In The Last Decade
Fields of papers published by Jingfeng Wu
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
Countries citing papers authored by Jingfeng Wu
Since SpecializationCitations
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