Linke Guo
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Mobile Crowdsensing and Crowdsourcing 12
-
- Privacy-Preserving Technologies in Data 34
- Cryptography and Data Security 24
- Co-authors
- Yuguang FangChi ZhangMing LiPei HuangXiaonan ZhangJinyuan SunHao YueQi Jia
- Journals
- IEEE Transactions on Mobile Computing (5 papers)IEEE Transactions on Dependable and Secure Computing (5 papers)IEEE Internet of Things Journal (4 papers)IEEE/ACM Transactions on Networking (4 papers)IEEE Transactions on Network Science and Engineering (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Linke Guo
74 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 86
- Computer Science Applications 278
- Artificial Intelligence 894
- Computer Networks and Communications 461
- Information Systems 442
- Transportation 99
Countries citing papers authored by Linke Guo
This map shows the geographic impact of Linke Guo'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 Linke Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linke Guo more than expected).
Fields of papers citing papers by Linke Guo
This network shows the impact of papers produced by Linke Guo. 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 Linke Guo. The network helps show where Linke Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Linke Guo, 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 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 27 | |
| 14 | 2019 | 72 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 21 | |
| 17 | 2016 | 64 | |
| 18 | 2016 | 33 | |
| 19 | 2015 | 10 | |
| 20 | 2013 | 99 |
About Linke Guo
Linke Guo is a scholar working on Computer Science Applications, Artificial Intelligence, Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (34 papers), Cryptography and Data Security (24 papers), Mobile Crowdsensing and Crowdsourcing (12 papers), Privacy, Security, and Data Protection (10 papers), User Authentication and Security Systems (7 papers), Caching and Content Delivery (7 papers), Opportunistic and Delay-Tolerant Networks (7 papers) and Wireless Communication Security Techniques (6 papers). The work is most often cited by research in Computer Science Applications (278 citations), Artificial Intelligence (894 citations), Computer Networks and Communications (461 citations), Information Systems (442 citations) and Transportation (99 citations). Linke Guo has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yuguang Fang, Chi Zhang, Ming Li, Pei Huang, Xiaonan Zhang, Jinyuan Sun, Hao Yue, Qi Jia, Xiaolin Li and Pan Li. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Dependable and Secure Computing, IEEE Internet of Things Journal, IEEE/ACM Transactions on Networking and IEEE Transactions on Network Science and Engineering.
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.