Bin Cui
Impact in
- Information Systems top 0.1%
- Recommender Systems and Techniques
- Signal Processing top 0.5%
- Data Management and Algorithms
Papers in
-
- Advanced Graph Neural Networks 56
- Data Stream Mining Techniques 44
-
- Caching and Content Delivery 52
- Advanced Database Systems and Queries 48
- Co-authors
- Hongzhi Yin (29 shared papers)Wentao Zhang (35 shared papers)Shiwen Wu (5 shared papers)Yingxia Shao (44 shared papers)Fei Sun (4 shared papers)Zhiting Hu (7 shared papers)Jiawei Jiang (35 shared papers)Ling Chen (5 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (32 papers)Proceedings of the VLDB Endowment (28 papers)ACM Transactions on Information Systems (11 papers)The VLDB Journal (9 papers)World Wide Web (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Cui
369 papers receiving 9.1k citations
Bin Cui's Hit Papers
Peers
Comparison fields: 5 of 180
- Information Systems 3.6k
- Signal Processing 1.5k
- Artificial Intelligence 4.6k
- Transportation 805
- Computer Vision and Pattern Recognition 2.4k
Countries citing papers authored by Bin Cui
This map shows the geographic impact of Bin 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 Bin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Cui more than expected).
Fields of papers citing papers by Bin Cui
This network shows the impact of papers produced by Bin 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 Bin Cui. The network helps show where Bin Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 407 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diffusion Models: A Comprehensive Survey of Methods and Applications Hit paper breakdown → | 2023 | 807 |
| 2 | Graph Neural Networks in Recommender Systems: A Survey Hit paper breakdown → | 2022 | 681 |
| 3 | Contrastive Learning for Sequential Recommendation Hit paper breakdown → | 2022 | 363 |
| 4 | LCARS Hit paper breakdown → | 2013 | 286 |
| 5 | 2012 | 195 | |
| 6 | 2016 | 189 | |
| 7 | 2003 | 151 | |
| 8 | 2017 | 151 | |
| 9 | 2016 | 140 | |
| 10 | 2015 | 128 | |
| 11 | 2015 | 122 | |
| 12 | 2014 | 111 | |
| 13 | 2018 | 110 | |
| 14 | 2014 | 103 | |
| 15 | 2014 | 99 | |
| 16 | 2009 | 92 | |
| 17 | 2010 | 88 | |
| 18 | 2009 | 85 | |
| 19 | 2019 | 83 | |
| 20 | 2018 | 75 |
About Bin Cui
Bin Cui is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 407 papers that have together received 9.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (73 papers), Advanced Graph Neural Networks (56 papers), Caching and Content Delivery (52 papers), Recommender Systems and Techniques (51 papers), Advanced Database Systems and Queries (48 papers), Data Stream Mining Techniques (44 papers), Complex Network Analysis Techniques (32 papers) and Advanced Image and Video Retrieval Techniques (31 papers). The work is most often cited by research in Information Systems (3.6k citations), Signal Processing (1.5k citations), Artificial Intelligence (4.6k citations), Transportation (805 citations) and Computer Vision and Pattern Recognition (2.4k citations). Bin Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongzhi Yin, Wentao Zhang, Shiwen Wu, Yingxia Shao, Fei Sun, Zhiting Hu, Jiawei Jiang, Ling Chen, Junjie Yao and X. H. Xie. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, ACM Transactions on Information Systems, The VLDB Journal and World Wide Web.
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.