Siliang Tang

96 papers and 1.1k indexed citations i.

About

Siliang Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Siliang Tang has authored 96 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 56 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Siliang Tang’s work include Multimodal Machine Learning Applications (34 papers), Topic Modeling (27 papers) and Domain Adaptation and Few-Shot Learning (22 papers). Siliang Tang is often cited by papers focused on Multimodal Machine Learning Applications (34 papers), Topic Modeling (27 papers) and Domain Adaptation and Few-Shot Learning (22 papers). Siliang Tang collaborates with scholars based in China, United States and Australia. Siliang Tang's co-authors include Yueting Zhuang, Fei Wu, Jun Xiao, Yi Yang, Yanpeng Cao, Zewei He, Yanlong Cao, Wenqiao Zhang, Jiangxin Yang and Yin Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Siliang Tang i

Fields of papers citing papers by Siliang Tang

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

Countries citing papers authored by Siliang Tang

Since Specialization
Citations

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

Rankless by CCL
2025