Gusi Te

2 papers and 190 indexed citations i.

About

Gusi Te is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Gusi Te has authored 2 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Mechanics. Recurrent topics in Gusi Te’s work include Face recognition and analysis (1 paper), 3D Shape Modeling and Analysis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Gusi Te is often cited by papers focused on Face recognition and analysis (1 paper), 3D Shape Modeling and Analysis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Gusi Te collaborates with scholars based in China. Gusi Te's co-authors include Tao Mei, Yinglu Liu, Hailin Shi and Amin Zheng and has published in prestigious journals such as IEEE Transactions on Image Processing.

In The Last Decade

Fields of papers citing papers by Gusi Te

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

Countries citing papers authored by Gusi Te

Since Specialization
Citations

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

Rankless by CCL
2025