Yan Song

69 papers and 1.3k indexed citations i.

About

Yan Song is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Yan Song has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 15 papers in Materials Chemistry and 15 papers in Mechanical Engineering. Recurrent topics in Yan Song’s work include Human Pose and Action Recognition (13 papers), Hydrogen embrittlement and corrosion behaviors in metals (11 papers) and Fatigue and fracture mechanics (10 papers). Yan Song is often cited by papers focused on Human Pose and Action Recognition (13 papers), Hydrogen embrittlement and corrosion behaviors in metals (11 papers) and Fatigue and fracture mechanics (10 papers). Yan Song collaborates with scholars based in China, Germany and United States. Yan Song's co-authors include Jinhui Tang, Xiangbo Shu, Guo-Jun Qi, Richang Hong, Xian-Sheng Hua, Meng Wang, Rui Yan, Mengyu Chai, Jiawen Yang and T.J. Wang and has published in prestigious journals such as Journal of Applied Physics, PLoS ONE and IEEE Transactions on Image Processing.

In The Last Decade

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

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

Countries citing papers authored by Yan Song

Since Specialization
Citations

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

Rankless by CCL
2025