Lu Zhou
Impact in
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- Nonlinear Dynamics and Pattern Formation
- IoT and Edge/Fog Computing
- Information Systems top 2%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
Papers in
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- Cryptography and Data Security 17
- Privacy-Preserving Technologies in Data 15
- Cryptographic Implementations and Security 6
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- Cloud Data Security Solutions 7
- Blockchain Technology Applications and Security 5
- Spam and Phishing Detection 3
- Co-authors
- Qi Ouyang (4 shared papers)Zhe Liu (16 shared papers)Xingming Sun (3 shared papers)Zhangjie Fu (3 shared papers)Chunhua Su (8 shared papers)Nigel Linge (1 shared paper)Hwajeong Seo (2 shared papers)Zhi Hu (3 shared papers)
In The Last Decade
Lu Zhou
56 papers receiving 769 citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 318
- Information Systems 284
- Artificial Intelligence 401
- Statistical and Nonlinear Physics 86
- Computer Vision and Pattern Recognition 127
Countries citing papers authored by Lu Zhou
This map shows the geographic impact of Lu Zhou'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 Lu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Zhou more than expected).
Fields of papers citing papers by Lu Zhou
This network shows the impact of papers produced by Lu Zhou. 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 Lu Zhou. The network helps show where Lu Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Zhou, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 106 | |
| 2 | 2000 | 90 | |
| 3 | 2014 | 86 | |
| 4 | 2018 | 50 | |
| 5 | 2017 | 49 | |
| 6 | 2016 | 43 | |
| 7 | 2000 | 36 | |
| 8 | 2024 | 35 | |
| 9 | 2013 | 27 | |
| 10 | 2018 | 24 | |
| 11 | 2020 | 19 | |
| 12 | 2018 | 19 | |
| 13 | 2017 | 19 | |
| 14 | 2019 | 16 | |
| 15 | 2024 | 14 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2015 | 10 | |
| 20 | 2019 | 8 |
About Lu Zhou
Lu Zhou is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 66 papers that have together received 801 indexed citations. Recurring topics across this work include Cryptography and Data Security (17 papers), Privacy-Preserving Technologies in Data (15 papers), Cloud Data Security Solutions (7 papers), Cryptographic Implementations and Security (6 papers), Blockchain Technology Applications and Security (5 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Chaos-based Image/Signal Encryption (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Computer Networks and Communications (318 citations), Information Systems (284 citations), Artificial Intelligence (401 citations), Statistical and Nonlinear Physics (86 citations) and Computer Vision and Pattern Recognition (127 citations). Lu Zhou has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Qi Ouyang, Zhe Liu, Xingming Sun, Zhangjie Fu, Chunhua Su, Nigel Linge, Hwajeong Seo, Zhi Hu, Youwen Zhu and Xinyi Huang. Their work appears in journals such as Future Generation Computer Systems, IEEE Transactions on Information Forensics and Security, Computers & Security, IEEE Transactions on Dependable and Secure Computing and ACM Transactions on Embedded Computing 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.