Lei Zou
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Privacy-Preserving Technologies in Data
Papers in
-
- Advanced Graph Neural Networks 40
- Semantic Web and Ontologies 38
- Topic Modeling 22
- Natural Language Processing Techniques 13
-
- Graph Theory and Algorithms 56
- Co-authors
- Lei Chen (20 shared papers)M. TAMER ÖZSU (17 shared papers)Dongyan Zhao (38 shared papers)Jeffrey Xu Yu (14 shared papers)Weiguo Zheng (17 shared papers)Haixun Wang (3 shared papers)Sen Hu (8 shared papers)Ruizhe Huang (3 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (18 papers)Proceedings of the VLDB Endowment (12 papers)The VLDB Journal (6 papers)World Wide Web (5 papers)Calphad (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lei Zou
160 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 119
- Signal Processing 657
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 993
- Computer Networks and Communications 784
- Information Systems 522
Countries citing papers authored by Lei Zou
This map shows the geographic impact of Lei Zou'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 Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Zou more than expected).
Fields of papers citing papers by Lei Zou
This network shows the impact of papers produced by Lei Zou. 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 Zou. The network helps show where Lei Zou may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Zou, 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 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 261 | |
| 2 | 2017 | 178 | |
| 3 | 2011 | 155 | |
| 4 | 2009 | 153 | |
| 5 | 2014 | 133 | |
| 6 | 2008 | 96 | |
| 7 | 2013 | 92 | |
| 8 | 2020 | 81 | |
| 9 | 2018 | 74 | |
| 10 | 2018 | 69 | |
| 11 | 2022 | 67 | |
| 12 | 2018 | 64 | |
| 13 | 2016 | 63 | |
| 14 | 2015 | 60 | |
| 15 | 2018 | 57 | |
| 16 | 2016 | 54 | |
| 17 | 2014 | 49 | |
| 18 | 2018 | 47 | |
| 19 | 2015 | 46 | |
| 20 | 2018 | 46 |
About Lei Zou
Lei Zou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Information Systems, having authored 172 papers that have together received 3.1k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (56 papers), Advanced Graph Neural Networks (40 papers), Data Management and Algorithms (38 papers), Semantic Web and Ontologies (38 papers), Advanced Database Systems and Queries (24 papers), Topic Modeling (22 papers), Caching and Content Delivery (15 papers) and Natural Language Processing Techniques (13 papers). The work is most often cited by research in Signal Processing (657 citations), Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (993 citations), Computer Networks and Communications (784 citations) and Information Systems (522 citations). Lei Zou has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lei Chen, M. TAMER ÖZSU, Dongyan Zhao, Jeffrey Xu Yu, Weiguo Zheng, Haixun Wang, Sen Hu, Ruizhe Huang, Yansheng Lu and Xiang Lian. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, The VLDB Journal, World Wide Web and Calphad.
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.