Dan Yao

20 papers and 227 indexed citations i.

About

Dan Yao is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dan Yao has authored 20 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Media Technology, 7 papers in Atmospheric Science and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dan Yao’s work include Remote-Sensing Image Classification (6 papers), Remote Sensing and Land Use (6 papers) and Advanced Neural Network Applications (4 papers). Dan Yao is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Remote Sensing and Land Use (6 papers) and Advanced Neural Network Applications (4 papers). Dan Yao collaborates with scholars based in China, United Kingdom and Austria. Dan Yao's co-authors include Hongmin Gao, Yao Yang, Chenming Li, Zhixin Li and Thomas Lukasiewicz and has published in prestigious journals such as Optics Express, Expert Systems with Applications and Sensors.

In The Last Decade

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

Countries citing papers authored by Dan Yao

Since Specialization
Citations

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

Rankless by CCL
2025