Song Guo

43 papers and 852 indexed citations i.

About

Song Guo is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Song Guo has authored 43 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Ophthalmology. Recurrent topics in Song Guo’s work include Retinal Imaging and Analysis (14 papers), Digital Imaging for Blood Diseases (7 papers) and Retinal Diseases and Treatments (7 papers). Song Guo is often cited by papers focused on Retinal Imaging and Analysis (14 papers), Digital Imaging for Blood Diseases (7 papers) and Retinal Diseases and Treatments (7 papers). Song Guo collaborates with scholars based in China, United States and Japan. Song Guo's co-authors include Tao Li, Hong Kang, Yingqi Gao and Qiuqi Ruan and has published in prestigious journals such as Journal of Cellular Physiology, Sensors and IEEE Access.

In The Last Decade

Fields of papers citing papers by Song Guo

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

Countries citing papers authored by Song Guo

Since Specialization
Citations

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

Rankless by CCL
2025