Libo Wang
Impact in
- Artificial Intelligence top 10%
- Coding theory and cryptography
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
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- Advanced Authentication Protocols Security
- IoT and Edge/Fog Computing
Papers in
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- Coding theory and cryptography 8
- Cryptography and Data Security 3
- Privacy-Preserving Technologies in Data 1
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- Sparse and Compressive Sensing Techniques 3
- Co-authors
- Zhiquan Liu (5 shared papers)Jianfeng Ma (4 shared papers)Jingjing Guo (3 shared papers)Feiran Huang (1 shared paper)Xia Feng (1 shared paper)Baofeng Wu (6 shared papers)Zhuojun Liu (1 shared paper)Haifeng Li (1 shared paper)
In The Last Decade
Libo Wang
19 papers receiving 298 citations
Libo Wang's Hit Papers
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 132
- Computer Networks and Communications 53
- Computer Science Applications 12
- Information Systems 44
- Instrumentation 4
Countries citing papers authored by Libo Wang
This map shows the geographic impact of Libo Wang'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 Libo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libo Wang more than expected).
Fields of papers citing papers by Libo Wang
This network shows the impact of papers produced by Libo Wang. 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 Libo Wang. The network helps show where Libo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Libo Wang, 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 | PPRU: A Privacy-Preserving Reputation Updating Scheme for Cloud-Assisted Vehicular Networks Hit paper breakdown → | 2023 | 149 |
| 2 | 2019 | 20 | |
| 3 | 2023 | 20 | |
| 4 | 2019 | 19 | |
| 5 | 2016 | 18 | |
| 6 | 2018 | 15 | |
| 7 | 2018 | 14 | |
| 8 | 2019 | 9 | |
| 9 | 2017 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 0 |
About Libo Wang
Libo Wang is a scholar working on Artificial Intelligence, Computational Mechanics, Discrete Mathematics and Combinatorics, Computer Science Applications and Information Systems, having authored 20 papers that have together received 307 indexed citations. Recurring topics across this work include Coding theory and cryptography (8 papers), Cryptography and Data Security (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Blockchain Technology Applications and Security (1 paper), Advanced Combinatorial Mathematics (1 paper), Privacy-Preserving Technologies in Data (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Artificial Intelligence (132 citations), Computer Networks and Communications (53 citations), Computer Science Applications (12 citations), Information Systems (44 citations) and Instrumentation (4 citations). Libo Wang has collaborated with scholars based in China, Macao and Japan. Frequent co-authors include Zhiquan Liu, Jianfeng Ma, Jingjing Guo, Feiran Huang, Xia Feng, Baofeng Wu, Zhuojun Liu, Haifeng Li, Deepak Kumar Jain and Keqin Feng. Their work appears in journals such as Finite Fields and Their Applications, IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Information Theory and Photonics.
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.