Kun Yue
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Service-Oriented Architecture and Web Services
-
- Caching and Content Delivery
Papers in
-
- Bayesian Modeling and Causal Inference 25
- Advanced Graph Neural Networks 15
-
- Multi-Criteria Decision Making 8
- Co-authors
- Hao WuChing‐Hsien HsuWeiyi LiuBinbin ZhangBo LiJun HeJin LiShaojie Qiao
- Journals
- Knowledge-Based Systems (8 papers)Expert Systems with Applications (6 papers)Applied Intelligence (5 papers)Information Sciences (3 papers)IEEE Transactions on Services Computing (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kun Yue
95 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Information Systems 625
- Computer Networks and Communications 376
- Computational Mathematics 9
- Artificial Intelligence 477
- Computer Vision and Pattern Recognition 212
Countries citing papers authored by Kun Yue
This map shows the geographic impact of Kun Yue'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 Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yue more than expected).
Fields of papers citing papers by Kun Yue
This network shows the impact of papers produced by Kun Yue. 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 Yue. The network helps show where Kun Yue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Yue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 0 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 32 | |
| 14 | 2018 | 61 | |
| 15 | 2018 | 2 | |
| 16 | Click-through rate prediction of online advertisements based on probabilistic graphical model | 2013 | 0 |
| 17 | Automatic keyword extraction from documents based on multiple content-based measures | 2011 | 3 |
| 18 | A routing coalition game approach for data fusion in wireless sensor networks | 2011 | 1 |
| 19 | An energy-efficient coalition game model for wireless sensor networks | 2011 | 4 |
| 20 | 2004 | 14 |
About Kun Yue
Kun Yue is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Mathematics, Information Systems and Signal Processing, having authored 110 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (25 papers), Advanced Graph Neural Networks (15 papers), Data Management and Algorithms (14 papers), Rough Sets and Fuzzy Logic (13 papers), Recommender Systems and Techniques (13 papers), Complex Network Analysis Techniques (10 papers), Multi-Criteria Decision Making (8 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Information Systems (625 citations), Computer Networks and Communications (376 citations), Computational Mathematics (9 citations), Artificial Intelligence (477 citations) and Computer Vision and Pattern Recognition (212 citations). Kun Yue has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hao Wu, Ching‐Hsien Hsu, Weiyi Liu, Binbin Zhang, Bo Li, Jun He, Jin Li, Shaojie Qiao, Jun Cheng and Dapeng Tao. Their work appears in journals such as Knowledge-Based Systems, Expert Systems with Applications, Applied Intelligence, Information Sciences and IEEE Transactions on Services Computing.
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.