Lu Zhou

1.2k citations
60 papers · 769 indexed · h-index 14

Impact in

Papers in

    • Cryptography and Data Security 17
    • Privacy-Preserving Technologies in Data 14
    • Cryptographic Implementations and Security 5
    • Cloud Data Security Solutions 7
    • Blockchain Technology Applications and Security 4
    • Spam and Phishing Detection 3

Lu Zhou

52 papers receiving 736 citations

Peers

Lu Zhou
Comparison fields: 5 of 87
  • Computer Networks and Communications 315
  • Information Systems 281
  • Artificial Intelligence 395
  • Statistical and Nonlinear Physics 86
  • Computer Vision and Pattern Recognition 127
Replace Terrence J. Moore with:
Terrence J. Moore United States
Palash Sarkar India
Ira S. Moskowitz United States
Zengfeng Huang China
Nong Ye United States
Wanchun Li China
Stacy Patterson United States
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Lu Zhou relative to Terrence J. Moore United States Terrence J. Moore's profile →
Citations per field
00.5×3.2×
Terrence J. Moore · 1×
Citations per year

Countries citing papers authored by Lu Zhou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Lu Zhou Line = papers co-authored together Lu Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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18 201849
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GIS-based suitability evaluation for green agricultural product base.
20103
20
Fragile watermarking self-embedded authentication algorithm of color image
20042

About Lu Zhou

Lu Zhou is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 769 indexed citations. Recurring topics across this work include Cryptography and Data Security (17 papers), Privacy-Preserving Technologies in Data (14 papers), Cloud Data Security Solutions (7 papers), Cryptographic Implementations and Security (5 papers), Blockchain Technology Applications and Security (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Spam and Phishing Detection (3 papers) and Electrocatalysts for Energy Conversion (3 papers). The work is most often cited by research in Computer Networks and Communications (315 citations), Information Systems (281 citations), Artificial Intelligence (395 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, Xinyi Huang and Youwen Zhu. Their work appears in journals such as Future Generation Computer Systems, IEEE Transactions on Information Forensics and Security, Computers & Security, IEEE Transactions on Services Computing and The Journal of Physical Chemistry B.

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.

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