Jingkuan Song

189 papers and 6.5k indexed citations i.

About

Jingkuan Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jingkuan Song has authored 189 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Computer Vision and Pattern Recognition, 82 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Jingkuan Song’s work include Advanced Image and Video Retrieval Techniques (96 papers), Multimodal Machine Learning Applications (87 papers) and Domain Adaptation and Few-Shot Learning (50 papers). Jingkuan Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (96 papers), Multimodal Machine Learning Applications (87 papers) and Domain Adaptation and Few-Shot Learning (50 papers). Jingkuan Song collaborates with scholars based in China, Australia and United States. Jingkuan Song's co-authors include Heng Tao Shen, Lianli Gao, Nicu Sebe, Xing Xu and Pengpeng Zeng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

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

Countries citing papers authored by Jingkuan Song

Since Specialization
Citations

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

Rankless by CCL
2025