Kui Yu
Impact in
- Artificial Intelligence top 0.5%
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
- Text and Document Classification Technologies
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
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- Face and Expression Recognition
Papers in
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- Bayesian Modeling and Causal Inference 47
- Domain Adaptation and Few-Shot Learning 11
- Machine Learning and Data Classification 11
- Advanced Graph Neural Networks 11
- Topic Modeling 11
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- Data Quality and Management 17
- Co-authors
- Xindong Wu (33 shared papers)Wei Ding (20 shared papers)Lin Liu (20 shared papers)Jiuyong Li (19 shared papers)Jian Pei (4 shared papers)Huanhuan Chen (6 shared papers)Peipei Li (7 shared papers)Xingquan Zhu (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (9 papers)IEEE Transactions on Knowledge and Data Engineering (9 papers)ACM Transactions on Knowledge Discovery from Data (8 papers)IEEE Transactions on Big Data (5 papers)Information Sciences (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Kui Yu
99 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 508
- Management Science and Operations Research 202
- Computational Theory and Mathematics 226
- Information Systems 302
Countries citing papers authored by Kui Yu
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).
Fields of papers citing papers by Kui Yu
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.
Co-authors
The 25 scholars most cited alongside Kui Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 214 | |
| 2 | 2016 | 113 | |
| 3 | 2020 | 112 | |
| 4 | 2019 | 89 | |
| 5 | Online Streaming Feature Selection | 2010 | 88 |
| 6 | 2021 | 78 | |
| 7 | 2014 | 74 | |
| 8 | 2019 | 65 | |
| 9 | 2018 | 62 | |
| 10 | 2021 | 59 | |
| 11 | 2019 | 50 | |
| 12 | 2016 | 49 | |
| 13 | 2019 | 45 | |
| 14 | 2020 | 40 | |
| 15 | 2021 | 39 | |
| 16 | 2019 | 35 | |
| 17 | 2022 | 32 | |
| 18 | 2015 | 31 | |
| 19 | 2021 | 31 | |
| 20 | 2021 | 29 |
About Kui Yu
Kui Yu is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 107 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (47 papers), Data Quality and Management (17 papers), Rough Sets and Fuzzy Logic (12 papers), Domain Adaptation and Few-Shot Learning (11 papers), Machine Learning and Data Classification (11 papers), Advanced Graph Neural Networks (11 papers), Data Mining Algorithms and Applications (11 papers) and Topic Modeling (11 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (508 citations), Management Science and Operations Research (202 citations), Computational Theory and Mathematics (226 citations) and Information Systems (302 citations). Kui Yu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xindong Wu, Wei Ding, Lin Liu, Jiuyong Li, Jian Pei, Huanhuan Chen, Peipei Li, Xingquan Zhu, Hao Wang and Xingyu Wu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Big Data and Information Sciences.
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.