Kun Fu

23 papers and 327 indexed citations i.

About

Kun Fu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Kun Fu has authored 23 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 4 papers in Aerospace Engineering. Recurrent topics in Kun Fu’s work include Advanced Image and Video Retrieval Techniques (10 papers), Remote-Sensing Image Classification (9 papers) and Remote Sensing and Land Use (4 papers). Kun Fu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Remote-Sensing Image Classification (9 papers) and Remote Sensing and Land Use (4 papers). Kun Fu collaborates with scholars based in China, United States and United Kingdom. Kun Fu's co-authors include Xian Sun, Hongqi Wang, Wenhui Diao, Tao Xu, Liangjin Zhao, Eng Kiong Wong, Junxi Li, Heng-Chao Li, Qian Du and William J. Emery and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Geoscience and Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Kun Fu i

Fields of papers citing papers by Kun 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 Kun Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kun Fu may publish in the future.

Countries citing papers authored by Kun Fu

Since Specialization
Citations

This map shows the geographic impact of Kun 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 Kun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Fu more than expected).

Rankless by CCL
2025