Kai Kang

29 papers and 533 indexed citations i.

About

Kai Kang is a scholar working on Artificial Intelligence, Statistics and Probability and Electrical and Electronic Engineering. According to data from OpenAlex, Kai Kang has authored 29 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Statistics and Probability and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Kai Kang’s work include Statistical Methods and Inference (10 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Bayesian Inference (8 papers). Kai Kang is often cited by papers focused on Statistical Methods and Inference (10 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Bayesian Inference (8 papers). Kai Kang collaborates with scholars based in China, Hong Kong and United States. Kai Kang's co-authors include Xiaogang Wang, Hongsheng Li, Zhe Wang, Tong Xiao, Wanli Ouyang, Xingyu Zeng, Bin Yang, Ruohui Wang, Cong Zhang and Junjie Yan and has published in prestigious journals such as Statistics in Medicine, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

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

Fields of papers citing papers by Kai Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Kang

Since Specialization
Citations

This map shows the geographic impact of Kai Kang'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 Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Kang 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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2025