Kun Kuang

81 papers and 753 indexed citations i.

About

Kun Kuang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kun Kuang has authored 81 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Kun Kuang’s work include Domain Adaptation and Few-Shot Learning (19 papers), Topic Modeling (15 papers) and Statistical Methods and Inference (10 papers). Kun Kuang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (19 papers), Topic Modeling (15 papers) and Statistical Methods and Inference (10 papers). Kun Kuang collaborates with scholars based in China, United States and Singapore. Kun Kuang's co-authors include Fei Wu, Peng Cui, Jianxin Ma, Xin Wang, Shengyu Zhang, Wenwu Zhu, Hongxia Yang, Ruoxuan Xiong, Susan Athey and Bo Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Kun Kuang i

Fields of papers citing papers by Kun Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Kuang

Since Specialization
Citations

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