En‐hui Yang

93 papers and 1.4k indexed citations i.

About

En‐hui Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, En‐hui Yang has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 28 papers in Signal Processing. Recurrent topics in En‐hui Yang’s work include Algorithms and Data Compression (30 papers), Advanced Data Compression Techniques (28 papers) and Video Coding and Compression Technologies (24 papers). En‐hui Yang is often cited by papers focused on Algorithms and Data Compression (30 papers), Advanced Data Compression Techniques (28 papers) and Video Coding and Compression Technologies (24 papers). En‐hui Yang collaborates with scholars based in Canada, United States and China. En‐hui Yang's co-authors include John C. Kieffer, Dake He, Nan Hu, Jin Meng, Victor K. Wei, Chang Sun, Haiquan Wang, Zhijin Zhao, Zhen Zhang and Xiang Yu and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of En‐hui Yang i

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

Countries citing papers authored by En‐hui Yang

Since Specialization
Citations

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

Rankless by CCL
2025