Kun Zhang
About
Kun Zhang has authored 121 papers that have received a total of 2.0k indexed citations.
This includes 80 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 19 papers in Signal Processing. The topics of these papers are Bayesian Modeling and Causal Inference (38 papers), Domain Adaptation and Few-Shot Learning (16 papers) and Blind Source Separation Techniques (15 papers). Kun Zhang is often cited by papers focused on Bayesian Modeling and Causal Inference (38 papers), Domain Adaptation and Few-Shot Learning (16 papers) and Blind Source Separation Techniques (15 papers) and collaborates with scholars based in United States, China and Germany. Kun Zhang's co-authors include Mingming Gong, Bernhard Schölkopf, Biwei Huang, Clark Glymour and Ruichu Cai and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
In The Last Decade
side by side view
Countries citing papers authored by Kun Zhang
Since SpecializationCitations
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Lin Kang Breakdown of academic impact, for papers by A. H. Wuosmaa Breakdown of academic impact, for papers by Silvana Mattedi Breakdown of academic impact, for papers by Gareth Morris‐Stiff Breakdown of academic impact, for papers by Kaare Lund Rasmussen Breakdown of academic impact, for papers by Liangkai Chen Breakdown of academic impact, for papers by Andrea Ciaranello Breakdown of academic impact, for papers by F. Palumbo