Kai Su

About

Kai Su is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Kai Su has authored 22 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Biomedical Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Kai Su’s work include Advanced Neural Network Applications (6 papers), Infrastructure Maintenance and Monitoring (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). Kai Su is often cited by papers focused on Advanced Neural Network Applications (6 papers), Infrastructure Maintenance and Monitoring (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). Kai Su collaborates with scholars based in China, Japan and Taiwan. Kai Su's co-authors include Xin Geng, Ren Luo, Shi Shen, Changxiu Cheng, R.C. Luo, Ting Zhang, Xiangxue Zhang, Qiangfu Zhao, Sijing Ye and Jing Yang and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and Remote Sensing.

In The Last Decade

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

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Fields of papers citing papers by Kai Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Su

Since Specialization

Citations

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