Shaowen Yao

109 papers and 1.4k indexed citations i.

About

Shaowen Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shaowen Yao has authored 109 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, 39 papers in Artificial Intelligence and 28 papers in Media Technology. Recurrent topics in Shaowen Yao’s work include Advanced Image Fusion Techniques (28 papers), Remote-Sensing Image Classification (17 papers) and Image Enhancement Techniques (17 papers). Shaowen Yao is often cited by papers focused on Advanced Image Fusion Techniques (28 papers), Remote-Sensing Image Classification (17 papers) and Image Enhancement Techniques (17 papers). Shaowen Yao collaborates with scholars based in China, Australia and Taiwan. Shaowen Yao's co-authors include Xin Jin, Qian Jiang, Shin‐Jye Lee, Dongming Zhou, Rencan Nie, Lin Liu, Lin Tang, Wei Zhou, Kangjian He and Jinjin Hai and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Shaowen Yao i

Fields of papers citing papers by Shaowen Yao

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

Countries citing papers authored by Shaowen Yao

Since Specialization
Citations

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

Rankless by CCL
2025