King‐Sun Fu

83 papers and 3.8k indexed citations i.

About

King‐Sun Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, King‐Sun Fu has authored 83 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 36 papers in Computer Vision and Pattern Recognition and 13 papers in Computer Networks and Communications. Recurrent topics in King‐Sun Fu’s work include Algorithms and Data Compression (20 papers), Machine Learning and Algorithms (10 papers) and Image Retrieval and Classification Techniques (9 papers). King‐Sun Fu is often cited by papers focused on Algorithms and Data Compression (20 papers), Machine Learning and Algorithms (10 papers) and Image Retrieval and Classification Techniques (9 papers). King‐Sun Fu collaborates with scholars based in United States, Taiwan and Israel. King‐Sun Fu's co-authors include E. Persoon, Alberto Sanfeliu, Wen‐Hsiang Tsai, М.А. Айзерман, Taylor L. Booth, Henri J. Nussbaumer, Thomas S. Huang, Manfred R. Schroeder, M. A. Eshera and Ning-San Chang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of King‐Sun Fu i

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

Countries citing papers authored by King‐Sun Fu

Since Specialization
Citations

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

Rankless by CCL
2025