Ge Song

17 papers and 174 indexed citations i.

About

Ge Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ge Song has authored 17 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Ge Song’s work include Cryptography and Data Security (5 papers), Combinatorial Optimization and Complexity Theory (4 papers) and Advanced Vision and Imaging (3 papers). Ge Song is often cited by papers focused on Cryptography and Data Security (5 papers), Combinatorial Optimization and Complexity Theory (4 papers) and Advanced Vision and Imaging (3 papers). Ge Song collaborates with scholars based in China, United States and Hong Kong. Ge Song's co-authors include Yunming Ye, Xiaohui Huang, Guoliang Fan, Jianwu Li, Wei Xie, Datong Liu, Yu Peng, Xiyuan Peng, Jingyue Pang and Changgen Peng and has published in prestigious journals such as Sensors, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Ge Song i

Fields of papers citing papers by Ge Song

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

Countries citing papers authored by Ge Song

Since Specialization
Citations

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

Rankless by CCL
2025