Peng Fu

56 papers and 529 indexed citations i.

About

Peng Fu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Peng Fu has authored 56 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Media Technology and 10 papers in Artificial Intelligence. Recurrent topics in Peng Fu’s work include Remote-Sensing Image Classification (17 papers), Advanced Image Fusion Techniques (12 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Peng Fu is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Advanced Image Fusion Techniques (12 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Peng Fu collaborates with scholars based in China, Australia and Hong Kong. Peng Fu's co-authors include Guo Cao, Youqiang Zhang, Quansen Sun, Zexuan Ji, Hao Shi, Xuesong Li, Bisheng Wang, Tao Wang, Cheng Peng and Xiaobo Shen and has published in prestigious journals such as Food Chemistry, Free Radical Biology and Medicine and IEEE Transactions on Geoscience and 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 Specialization
EngineeringComputer 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 Specialization
Citations

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).

Rankless by CCL
2025