Kai Zhu

About

Kai Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Kai Zhu has authored 25 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Kai Zhu’s work include Multimodal Machine Learning Applications (5 papers), VLSI and FPGA Design Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Kai Zhu is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), VLSI and FPGA Design Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Kai Zhu collaborates with scholars based in China, United States and Australia. Kai Zhu's co-authors include Wei Zhai, Yang Cao, Zheng-Jun Zha, Jie Cheng, Martin D. F. Wong, Hui Zhou, Haitao Yin, Cishen Zhang, Guoqiang Huang and Ran Yang and has published in prestigious journals such as International Journal of Computer Vision, Computers and Electronics in Agriculture and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Kai Zhu i

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Fields of papers citing papers by Kai Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Zhu

Since Specialization

Citations

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