Peng Fu
About
Peng Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Peng Fu has authored 33 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Peng Fu’s work include Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Peng Fu is often cited by papers focused on Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Peng Fu collaborates with scholars based in China, Canada and The Netherlands. Peng Fu's co-authors include Zheng Lin, Weiping Wang, Chu‐Li Fu, Xiangtuan Xiong, Dan Meng, Jiangnan Li, Yuanxin Liu, David Kirkwood, Weiping Wang and Lei Chen and has published in prestigious journals such as Journal of the Optical Society of America B, Computers & Mathematics with Applications and Photogrammetric Engineering & Remote Sensing.
In The Last Decade
Co-authorship network of co-authors of Peng Fu i
Fields of papers citing papers by Peng Fu
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 Peng Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Peng Fu may publish in the future.
Countries citing papers authored by Peng Fu
Since SpecializationCitations
This map shows the geographic impact of Peng Fu'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 Peng Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Fu more than expected).
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