Zhihui Lu
Impact in
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Network Security and Intrusion Detection
- Information Systems top 0.5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- IoT and Edge/Fog Computing 51
- Caching and Content Delivery 27
- Peer-to-Peer Network Technologies 9
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- Cloud Computing and Resource Management 32
- Blockchain Technology Applications and Security 20
- Service-Oriented Architecture and Web Services 11
- Cloud Data Security Solutions 9
Zhihui Lu
146 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 153
- Computer Networks and Communications 1.0k
- Information Systems 933
- Artificial Intelligence 635
- Computational Mathematics 11
- Genetics 151
Countries citing papers authored by Zhihui Lu
This map shows the geographic impact of Zhihui 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 Zhihui Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihui Lu more than expected).
Fields of papers citing papers by Zhihui Lu
This network shows the impact of papers produced by Zhihui 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 Zhihui Lu. The network helps show where Zhihui Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhihui Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 74 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 88 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2019 | 37 | |
| 19 | 2019 | 17 | |
| 20 | 2019 | 10 |
About Zhihui Lu
Zhihui Lu is a scholar working on Computer Networks and Communications, Information Systems, Computational Mathematics, Artificial Intelligence and Health Information Management, having authored 165 papers that have together received 2.9k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (51 papers), Cloud Computing and Resource Management (32 papers), Caching and Content Delivery (27 papers), Blockchain Technology Applications and Security (20 papers), Privacy-Preserving Technologies in Data (18 papers), Service-Oriented Architecture and Web Services (11 papers), Cloud Data Security Solutions (9 papers) and Peer-to-Peer Network Technologies (9 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Information Systems (933 citations), Artificial Intelligence (635 citations), Computational Mathematics (11 citations) and Genetics (151 citations). Zhihui Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jie Wu, Meikang Qiu, Jie Wu, Patrick C. K. Hung, Qiang Duan, Xin Du, Keke Gai, Han Qiu, Fukun Bi and Xiaodong Zhang. Their work appears in journals such as IEEE Internet of Things Journal, Future Generation Computer Systems, Journal of Systems Architecture, Journal of Parallel and Distributed Computing and Electronics.
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.