Ke Gu
Impact in
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
-
- Chaos-based Image/Signal Encryption
Papers in
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- Privacy-Preserving Technologies in Data 25
- Cryptography and Data Security 24
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- IoT and Edge/Fog Computing 11
- Caching and Content Delivery 6
- Opportunistic and Delay-Tolerant Networks 6
- Co-authors
- Weijia Jia (23 shared papers)Bo Yin (13 shared papers)Xiong Li (21 shared papers)Linyu Wang (4 shared papers)Qian Zhang (1 shared paper)Yuantao Chen (1 shared paper)Kai Yang (1 shared paper)Runlong Xia (1 shared paper)
In The Last Decade
Ke Gu
67 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 93
- Information Systems 318
- Computer Vision and Pattern Recognition 274
- Computer Networks and Communications 298
- Artificial Intelligence 389
- Statistical and Nonlinear Physics 142
Countries citing papers authored by Ke Gu
This map shows the geographic impact of Ke Gu'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 Ke Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Gu more than expected).
Fields of papers citing papers by Ke Gu
This network shows the impact of papers produced by Ke Gu. 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 Ke Gu. The network helps show where Ke Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Gu, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 185 | |
| 2 | 2019 | 64 | |
| 3 | 2016 | 42 | |
| 4 | 2018 | 33 | |
| 5 | 2020 | 33 | |
| 6 | 2016 | 32 | |
| 7 | 2023 | 30 | |
| 8 | 2018 | 30 | |
| 9 | 2019 | 29 | |
| 10 | 2019 | 28 | |
| 11 | 2022 | 27 | |
| 12 | 2019 | 27 | |
| 13 | 2016 | 27 | |
| 14 | 2021 | 21 | |
| 15 | 2022 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2022 | 19 | |
| 19 | 2020 | 19 | |
| 20 | 2021 | 18 |
About Ke Gu
Ke Gu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Sociology and Political Science, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (25 papers), Cryptography and Data Security (24 papers), Vehicular Ad Hoc Networks (VANETs) (14 papers), Blockchain Technology Applications and Security (13 papers), IoT and Edge/Fog Computing (11 papers), Cloud Data Security Solutions (11 papers), Caching and Content Delivery (6 papers) and Opportunistic and Delay-Tolerant Networks (6 papers). The work is most often cited by research in Information Systems (318 citations), Computer Vision and Pattern Recognition (274 citations), Computer Networks and Communications (298 citations), Artificial Intelligence (389 citations) and Statistical and Nonlinear Physics (142 citations). Ke Gu has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Weijia Jia, Bo Yin, Xiong Li, Linyu Wang, Qian Zhang, Yuantao Chen, Kai Yang, Runlong Xia, Jingbo Xie and Zhuoqun Xia. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Network and Service Management, IEEE Transactions on Computational Social Systems, IEEE Access and IEEE Transactions on Sustainable Computing.
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.