Ge Song
About
Ge Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology.
According to data from OpenAlex, Ge Song has authored 29 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Ge Song’s work include Advanced Image and Video Retrieval Techniques (10 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Ge Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Ge Song collaborates with scholars based in China, United States and Australia. Ge Song's co-authors include Min Chen, Xiaoyang Tan, Guo‐Qiang Chen, Jingyu Chen, Dong Wang, Ming Yang, Jun Zhao, Guoliang Fan, Zhengjun Li and Zhenyu Shi and has published in prestigious journals such as Applied Microbiology and Biotechnology, Pattern Recognition and Molecular Physics.
In The Last Decade
Co-authorship network of co-authors of Ge Song i
Fields of papers citing papers by Ge Song
Since SpecializationEngineeringComputer 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 SpecializationCitations
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).
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