Kui Yu

96 papers and 1.6k indexed citations i.

About

Kui Yu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kui Yu has authored 96 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 22 papers in Management Science and Operations Research and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kui Yu’s work include Bayesian Modeling and Causal Inference (45 papers), Data Quality and Management (15 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Kui Yu is often cited by papers focused on Bayesian Modeling and Causal Inference (45 papers), Data Quality and Management (15 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Kui Yu collaborates with scholars based in China, Australia and United States. Kui Yu's co-authors include Xindong Wu, Wei Ding, Lin Liu, Jiuyong Li, Jian Pei, Huanhuan Chen, Peipei Li, Xingquan Zhu, Hao Wang and Xuegang Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Chemical Science.

In The Last Decade

Co-authorship network of co-authors of Kui Yu i

Fields of papers citing papers by Kui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kui Yu

Since Specialization
Citations

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