Yang Fang
About
Yang Fang is a scholar working on Artificial Intelligence, Global and Planetary Change and Ecology.
According to data from OpenAlex, Yang Fang has authored 37 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Global and Planetary Change and 3 papers in Ecology. Recurrent topics in Yang Fang’s work include Advanced Graph Neural Networks (8 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Yang Fang is often cited by papers focused on Advanced Graph Neural Networks (8 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Yang Fang collaborates with scholars based in China, Canada and United States. Yang Fang's co-authors include Weidong Xiao, Xiang Zhao, Zhen Tan, Bonnie Stevens and Xiaoping Huang and has published in prestigious journals such as Pain, Expert Systems with Applications and BMC Bioinformatics.
In The Last Decade
Fields of papers citing papers by Yang Fang
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 Yang Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yang Fang may publish in the future.
Countries citing papers authored by Yang Fang
Since SpecializationCitations
This map shows the geographic impact of Yang Fang'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 Yang Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Fang more than expected).
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