Hang Su
About
Hang Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Hang Su has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Hang Su’s work include Adversarial Robustness in Machine Learning (25 papers), Anomaly Detection Techniques and Applications (16 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Hang Su is often cited by papers focused on Adversarial Robustness in Machine Learning (25 papers), Anomaly Detection Techniques and Applications (16 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Hang Su collaborates with scholars based in China, United States and United Kingdom. Hang Su's co-authors include Jun Zhu, Yinpeng Dong, Tianyu Pang, Baoyuan Wu, Zhifeng Li, Tong Zhang, Wei Liu, Zihao Xiao, Xiao Yang and Qian Fu and has published in prestigious journals such as Nano Letters, 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 Hang Su i
Fields of papers citing papers by Hang Su
Since SpecializationEngineeringComputer 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 Hang Su. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hang Su may publish in the future.
Countries citing papers authored by Hang Su
Since SpecializationCitations
This map shows the geographic impact of Hang Su'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 Hang Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Su more than expected).
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