Ke Fan

About

Ke Fan is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Biomedical Engineering. According to data from OpenAlex, Ke Fan has authored 23 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Civil and Structural Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Ke Fan’s work include Soft Robotics and Applications (6 papers), Structural Health Monitoring Techniques (5 papers) and Augmented Reality Applications (4 papers). Ke Fan is often cited by papers focused on Soft Robotics and Applications (6 papers), Structural Health Monitoring Techniques (5 papers) and Augmented Reality Applications (4 papers). Ke Fan collaborates with scholars based in China, Italy and Australia. Ke Fan's co-authors include Giancarlo Ferrigno, Elena De Momi, Ziyang Chen, J.M. Ko and Amir M. Kaynia and has published in prestigious journals such as Analytical Biochemistry, Neural Networks and Neurocomputing.

In The Last Decade

Fields of papers citing papers by Ke Fan

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

Countries citing papers authored by Ke Fan

Since Specialization

Citations

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

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