Lixin Cui
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Quantum Computing Algorithms and Architecture
- Text and Document Classification Technologies
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- Graph Theory and Algorithms
- Face and Expression Recognition
Papers in
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- Advanced Graph Neural Networks 18
- Quantum Computing Algorithms and Architecture 8
- Topic Modeling 4
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- Supply Chain and Inventory Management 6
- Co-authors
- Lu Bai (31 shared papers)Edwin R. Hancock (24 shared papers)Ming Li (7 shared papers)Luca Rossi (8 shared papers)Philip S. Yu (9 shared papers)Yuhang Jiao (4 shared papers)Zhao Li (2 shared papers)Lin Zhang (1 shared paper)
- Journals
- Pattern Recognition (5 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Pattern Recognition Letters (2 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lixin Cui
47 papers receiving 656 citations
Lixin Cui's Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 355
- Computer Vision and Pattern Recognition 141
- Computational Mathematics 4
- Statistical and Nonlinear Physics 80
- Management Science and Operations Research 58
Countries citing papers authored by Lixin Cui
This map shows the geographic impact of Lixin Cui'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 Lixin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lixin Cui more than expected).
Fields of papers citing papers by Lixin Cui
This network shows the impact of papers produced by Lixin Cui. 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 Lixin Cui. The network helps show where Lixin Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Lixin Cui, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation Hit paper breakdown → | 2023 | 80 |
| 2 | HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification Hit paper breakdown → | 2024 | 65 |
| 3 | 2020 | 63 | |
| 4 | 2021 | 53 | |
| 5 | 2020 | 37 | |
| 6 | 2021 | 35 | |
| 7 | 2021 | 34 | |
| 8 | 2021 | 31 | |
| 9 | 2016 | 22 | |
| 10 | 2019 | 21 | |
| 11 | 2014 | 21 | |
| 12 | 2019 | 20 | |
| 13 | 2021 | 19 | |
| 14 | 2018 | 18 | |
| 15 | 2024 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2007 | 14 | |
| 18 | 2018 | 13 | |
| 19 | 2014 | 10 | |
| 20 | 2023 | 9 |
About Lixin Cui
Lixin Cui is a scholar working on Artificial Intelligence, Management Information Systems, Computer Vision and Pattern Recognition, Information Systems and Management Science and Operations Research, having authored 50 papers that have together received 666 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (18 papers), Quantum Computing Algorithms and Architecture (8 papers), Supply Chain and Inventory Management (6 papers), Graph Theory and Algorithms (5 papers), Recommender Systems and Techniques (4 papers), Machine Learning in Materials Science (4 papers), Topic Modeling (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Artificial Intelligence (355 citations), Computer Vision and Pattern Recognition (141 citations), Computational Mathematics (4 citations), Statistical and Nonlinear Physics (80 citations) and Management Science and Operations Research (58 citations). Lixin Cui has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lu Bai, Edwin R. Hancock, Ming Li, Luca Rossi, Philip S. Yu, Yuhang Jiao, Zhao Li, Lin Zhang, Zhihong Zhang and Xindong Wu. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition Letters and Neurocomputing.
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.