Kaicheng Yu

11 papers and 243 indexed citations i.

About

Kaicheng Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Kaicheng Yu has authored 11 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Materials Chemistry. Recurrent topics in Kaicheng Yu’s work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers) and Multimodal Machine Learning Applications (2 papers). Kaicheng Yu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers) and Multimodal Machine Learning Applications (2 papers). Kaicheng Yu collaborates with scholars based in Switzerland, China and United States. Kaicheng Yu's co-authors include Mathieu Salzmann, Pascal Fua, Wei Wang, Martin Jaggi, Claudiu Musat, Lingjing Kong, Yaqi Li, Lei Ma, Kaimin Zhang and Boi Faltings and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Materials Science Materials in Electronics.

In The Last Decade

Co-authorship network of co-authors of Kaicheng Yu i

Fields of papers citing papers by Kaicheng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaicheng Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaicheng Yu. The network helps show where Kaicheng Yu may publish in the future.

Countries citing papers authored by Kaicheng Yu

Since Specialization
Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025