Kaiyang Zhou

About

Kaiyang Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Kaiyang Zhou has authored 32 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 6 papers in Civil and Structural Engineering. Recurrent topics in Kaiyang Zhou’s work include Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (8 papers) and Human Pose and Action Recognition (6 papers). Kaiyang Zhou is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (8 papers) and Human Pose and Action Recognition (6 papers). Kaiyang Zhou collaborates with scholars based in China, Singapore and United Kingdom. Kaiyang Zhou's co-authors include Tao Xiang, Ziwei Liu, Chen Change Loy, Jingkang Yang, Yu Qiao, Andrea Cavallaro, Yongxin Yang, Yongxin Yang, Timothy M. Hospedales and Dong Lei and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Construction and Building Materials.

In The Last Decade

Co-authorship network of co-authors of Kaiyang Zhou i

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Fields of papers citing papers by Kaiyang Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaiyang Zhou. 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 Kaiyang Zhou. The network helps show where Kaiyang Zhou may publish in the future.

Countries citing papers authored by Kaiyang Zhou

Since Specialization

Citations

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

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