Cuiping Li
Impact in
- Computational Mathematics top 5%
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
-
- Advanced Graph Neural Networks 27
- Topic Modeling 22
- Privacy-Preserving Technologies in Data 17
-
- Recommender Systems and Techniques 19
- Data Mining Algorithms and Applications 16
- Co-authors
- Hong Chen (64 shared papers)Suyun Zhao (9 shared papers)Xiaoyong Du (7 shared papers)Jing Zhang (12 shared papers)Hong Chen (10 shared papers)Hong Chen (9 shared papers)Suyun Zhao (17 shared papers)Jinchuan Chen (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (7 papers)Information Sciences (6 papers)Lecture notes in computer science (31 papers)Frontiers of Computer Science (3 papers)IEEE Transactions on Fuzzy Systems (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cuiping Li
138 papers receiving 2.4k citations
Cuiping Li's Hit Papers
Peers
Comparison fields: 5 of 109
- Computational Mathematics 32
- Artificial Intelligence 1.4k
- Information Systems 811
- Signal Processing 319
- Management Science and Operations Research 321
Countries citing papers authored by Cuiping Li
This map shows the geographic impact of Cuiping Li'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 Cuiping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiping Li more than expected).
Fields of papers citing papers by Cuiping Li
This network shows the impact of papers produced by Cuiping Li. 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 Cuiping Li. The network helps show where Cuiping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuiping Li, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Big data challenge: a data management perspective Hit paper breakdown → | 2013 | 256 |
| 2 | 2010 | 147 | |
| 3 | 2019 | 140 | |
| 4 | 2008 | 118 | |
| 5 | 2006 | 95 | |
| 6 | 2010 | 93 | |
| 7 | 2020 | 88 | |
| 8 | 2023 | 77 | |
| 9 | 2021 | 73 | |
| 10 | 2021 | 71 | |
| 11 | 2014 | 58 | |
| 12 | 2020 | 58 | |
| 13 | 2022 | 57 | |
| 14 | 2018 | 56 | |
| 15 | 2023 | 53 | |
| 16 | 2022 | 46 | |
| 17 | 2014 | 39 | |
| 18 | 2019 | 37 | |
| 19 | 2012 | 37 | |
| 20 | 2019 | 36 |
About Cuiping Li
Cuiping Li is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 152 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (27 papers), Topic Modeling (22 papers), Advanced Database Systems and Queries (21 papers), Data Management and Algorithms (21 papers), Recommender Systems and Techniques (19 papers), Privacy-Preserving Technologies in Data (17 papers), Data Mining Algorithms and Applications (16 papers) and Complex Network Analysis Techniques (13 papers). The work is most often cited by research in Computational Mathematics (32 citations), Artificial Intelligence (1.4k citations), Information Systems (811 citations), Signal Processing (319 citations) and Management Science and Operations Research (321 citations). Cuiping Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hong Chen, Suyun Zhao, Xiaoyong Du, Jing Zhang, Hong Chen, Hong Chen, Suyun Zhao, Jinchuan Chen, Yueguo Chen and Jiaheng Lu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Sciences, Lecture notes in computer science, Frontiers of Computer Science and IEEE Transactions on Fuzzy Systems.
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.