Can Lu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Statistical and Nonlinear Physics top 10%
- Topics
- Graph Theory and Algorithms (6 papers)Complex Network Analysis Techniques (5 papers)Data Management and Algorithms (5 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringProceedings of the VLDB EndowmentThe VLDB Journal
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Can Lu
13 papers receiving 273 citations
Peers
Comparison fields: 5 of 28
- Computer Vision and Pattern Recognition 156
- Artificial Intelligence 139
- Computer Networks and Communications 114
- Signal Processing 94
- Statistical and Nonlinear Physics 52
Countries citing papers authored by Can Lu
This map shows the geographic impact of Can Lu'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 Can Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Lu more than expected).
Fields of papers citing papers by Can Lu
This network shows the impact of papers produced by Can Lu. 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 Can Lu. The network helps show where Can Lu may publish in the future.
Co-authorship network of co-authors of Can Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Can Lu. A scholar is included among the top collaborators of Can Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Can Lu. Can Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 44 | |
| 10 | 30 | |
| 11 | 18 | |
| 12 | 98 | |
| 13 | 52 |
About Can Lu
Can Lu is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 13 papers that have together received 282 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (6 papers), Complex Network Analysis Techniques (5 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Signal Processing (94 citations), Computer Vision and Pattern Recognition (156 citations) and Hardware and Architecture (36 citations). Can Lu has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Hao Wei, Jeffrey Xu Yu, Xuemin Lin, Ruoming Jin, Yikai Zhang, Wenfei Fan, Muyang Liu, Rong-Hua Li, Yuanhao Li and Zhiwei Zhang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and The VLDB Journal.
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.