Renjie Song

20 papers and 495 indexed citations i.

About

Renjie Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Renjie Song has authored 20 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Renjie Song’s work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (7 papers) and Multimodal Machine Learning Applications (3 papers). Renjie Song is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (7 papers) and Multimodal Machine Learning Applications (3 papers). Renjie Song collaborates with scholars based in China, Japan and Australia. Renjie Song's co-authors include Borui Zhao, Quan Cui, Jiajun Liang, Yiyu Qiu, Ziqi Zhang, Haiyang Liu, Xiu-Shen Wei, Lingfeng Yang, Xiangbo Shu and Jianfeng Lu and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Applied Acoustics.

In The Last Decade

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

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

Countries citing papers authored by Renjie Song

Since Specialization
Citations

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

Rankless by CCL
2025