Kuan Fang

10 papers and 470 indexed citations i.

About

Kuan Fang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Kuan Fang has authored 10 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Control and Systems Engineering and 2 papers in Biomedical Engineering. Recurrent topics in Kuan Fang’s work include Robot Manipulation and Learning (5 papers), Human Pose and Action Recognition (3 papers) and Multimodal Machine Learning Applications (2 papers). Kuan Fang is often cited by papers focused on Robot Manipulation and Learning (5 papers), Human Pose and Action Recognition (3 papers) and Multimodal Machine Learning Applications (2 papers). Kuan Fang collaborates with scholars based in United States, China and Switzerland. Kuan Fang's co-authors include Silvio Savarese, Li Fei-Fei, Yuke Zhu, Animesh Garg and Andrey Kurenkov and has published in prestigious journals such as The International Journal of Robotics Research, Physica A Statistical Mechanics and its Applications and IEEE Transactions on Robotics.

In The Last Decade

Fields of papers citing papers by Kuan Fang

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 Kuan Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kuan Fang may publish in the future.

Countries citing papers authored by Kuan Fang

Since Specialization
Citations

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

Rankless by CCL
2025