K. S. Fu

66 papers and 2.0k indexed citations i.

About

K. S. Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, K. S. Fu has authored 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Theory and Mathematics. Recurrent topics in K. S. Fu’s work include Algorithms and Data Compression (14 papers), Image Retrieval and Classification Techniques (7 papers) and DNA and Biological Computing (7 papers). K. S. Fu is often cited by papers focused on Algorithms and Data Compression (14 papers), Image Retrieval and Classification Techniques (7 papers) and DNA and Biological Computing (7 papers). K. S. Fu collaborates with scholars based in United States and China. K. S. Fu's co-authors include William G. Wee, S. Y. Lu, Y.P. Chien, Ning-San Chang, Thomas S. Huang, JingTao Yao, Haruo Ogawa, Timothy Li, H.D. Cheng and P. H. Swain and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of K. S. Fu i

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

Countries citing papers authored by K. S. Fu

Since Specialization
Citations

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

Rankless by CCL
2025