Sijie Song

20 papers and 1.2k indexed citations i.

About

Sijie Song is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Sijie Song has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Biomedical Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Sijie Song’s work include Human Pose and Action Recognition (12 papers), Multimodal Machine Learning Applications (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Sijie Song is often cited by papers focused on Human Pose and Action Recognition (12 papers), Multimodal Machine Learning Applications (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Sijie Song collaborates with scholars based in China, United States and Taiwan. Sijie Song's co-authors include Jiaying Liu, Cuiling Lan, Wenjun Zeng, Junliang Xing, Tao Mei, Yanghao Li, Wenhan Yang, Wei Zhang, Zongming Guo and Shintami Chusnul Hidayati and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

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

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

Countries citing papers authored by Sijie Song

Since Specialization
Citations

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

Rankless by CCL
2025