Song Bai

101 papers and 6.3k indexed citations i.

About

Song Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Song Bai has authored 101 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 13 papers in Computational Mechanics. Recurrent topics in Song Bai’s work include Advanced Image and Video Retrieval Techniques (30 papers), Advanced Neural Network Applications (21 papers) and Image Retrieval and Classification Techniques (15 papers). Song Bai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (30 papers), Advanced Neural Network Applications (21 papers) and Image Retrieval and Classification Techniques (15 papers). Song Bai collaborates with scholars based in China, United Kingdom and United States. Song Bai's co-authors include Xiang Bai, Qi Tian, Qingming Huang, Honggang Qi, Kaiwen Duan, Lingxi Xie, Philip H. S. Torr, Alan Yuille, Zhichao Zhou and Longin Jan Latecki and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry C and Journal of Colloid and Interface Science.

In The Last Decade

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

Fields of papers citing papers by Song Bai

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 Song Bai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Bai may publish in the future.

Countries citing papers authored by Song Bai

Since Specialization
Citations

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

Rankless by CCL
2025