Lei Chen
Impact in
- Computer Science Applications top 0.02%
- Mobile Crowdsensing and Crowdsourcing
- Signal Processing top 0.05%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
-
- Advanced Graph Neural Networks 103
- Privacy-Preserving Technologies in Data 71
-
- Advanced Database Systems and Queries 84
- Caching and Content Delivery 63
- Co-authors
- M. TAMER ÖZSU (24 shared papers)Xiang Lian (68 shared papers)Yongxin Tong (56 shared papers)Vincent Oria (11 shared papers)Lei Zou (24 shared papers)Raymond T. Ng (1 shared paper)Jieying She (14 shared papers)Zimu Zhou (19 shared papers)
- Journals
- Proceedings of the VLDB Endowment (75 papers)IEEE Transactions on Knowledge and Data Engineering (75 papers)The VLDB Journal (28 papers)Information Sciences (10 papers)IEEE Transactions on Parallel and Distributed Systems (9 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lei Chen
854 papers receiving 20.4k citations
Lei Chen's Hit Papers
Peers
Comparison fields: 5 of 205
- Computer Science Applications 3.0k
- Signal Processing 5.7k
- Transportation 2.3k
- Computer Networks and Communications 6.3k
- Artificial Intelligence 8.1k
Countries citing papers authored by Lei Chen
This map shows the geographic impact of Lei Chen'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 Lei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Chen more than expected).
Fields of papers citing papers by Lei Chen
This network shows the impact of papers produced by Lei Chen. 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 Lei Chen. The network helps show where Lei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Chen, 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 935 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust and fast similarity search for moving object trajectories Hit paper breakdown → | 2005 | 1032 |
| 2 | On The Marriage of Lp-norms and Edit Distance Hit paper breakdown → | 2004 | 551 |
| 3 | Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Hit paper breakdown → | 2020 | 424 |
| 4 | 2005 | 356 | |
| 5 | 2006 | 351 | |
| 6 | 2009 | 326 | |
| 7 | 2015 | 287 | |
| 8 | Online mobile Micro-Task Allocation in spatial crowdsourcing Hit paper breakdown → | 2016 | 259 |
| 9 | 2017 | 240 | |
| 10 | 2019 | 226 | |
| 11 | 2013 | 207 | |
| 12 | 2014 | 194 | |
| 13 | 2011 | 188 | |
| 14 | 2020 | 172 | |
| 15 | 2016 | 171 | |
| 16 | 2013 | 169 | |
| 17 | 2017 | 169 | |
| 18 | 2009 | 167 | |
| 19 | 2018 | 167 | |
| 20 | 2008 | 166 |
About Lei Chen
Lei Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 935 papers that have together received 21.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (180 papers), Advanced Graph Neural Networks (103 papers), Advanced Database Systems and Queries (84 papers), Mobile Crowdsensing and Crowdsourcing (84 papers), Graph Theory and Algorithms (76 papers), Privacy-Preserving Technologies in Data (71 papers), Caching and Content Delivery (63 papers) and Complex Network Analysis Techniques (59 papers). The work is most often cited by research in Computer Science Applications (3.0k citations), Signal Processing (5.7k citations), Transportation (2.3k citations), Computer Networks and Communications (6.3k citations) and Artificial Intelligence (8.1k citations). Lei Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include M. TAMER ÖZSU, Xiang Lian, Yongxin Tong, Vincent Oria, Lei Zou, Raymond T. Ng, Jieying She, Zimu Zhou, Wendi Heinzelman and Xiangmin Zhou. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, Information Sciences and IEEE Transactions on Parallel and Distributed 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.