Jar‐Ferr Yang

123 papers and 1.5k indexed citations i.

About

Jar‐Ferr Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Jar‐Ferr Yang has authored 123 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Computer Vision and Pattern Recognition, 84 papers in Signal Processing and 16 papers in Computational Mechanics. Recurrent topics in Jar‐Ferr Yang’s work include Video Coding and Compression Technologies (50 papers), Advanced Vision and Imaging (47 papers) and Advanced Data Compression Techniques (36 papers). Jar‐Ferr Yang is often cited by papers focused on Video Coding and Compression Technologies (50 papers), Advanced Vision and Imaging (47 papers) and Advanced Data Compression Techniques (36 papers). Jar‐Ferr Yang collaborates with scholars based in Taiwan, United States and China. Jar‐Ferr Yang's co-authors include M. Kaveh, Fu‐Kun Chen, Hsien–Tsai Wu, Shih‐Ming Huang, J. P. Scholz, Jhing-Fa Wang, Bin-Da Liu, Chih‐Peng Fan, Ming–Ting Sun and Anand Paul and has published in prestigious journals such as IEEE Transactions on Signal Processing, Experimental Brain Research and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Jar‐Ferr Yang i

Fields of papers citing papers by Jar‐Ferr Yang

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

Countries citing papers authored by Jar‐Ferr Yang

Since Specialization
Citations

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

Rankless by CCL
2025