Deke Guo
Impact in
- Computer Networks and Communications top 0.5%
- Caching and Content Delivery
- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Peer-to-Peer Network Technologies
- Opportunistic and Delay-Tolerant Networks
- Information Systems top 0.5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
-
- Caching and Content Delivery 91
- Software-Defined Networks and 5G 64
- IoT and Edge/Fog Computing 30
- Peer-to-Peer Network Technologies 28
- Interconnection Networks and Systems 17
-
- Cloud Computing and Resource Management 57
Deke Guo
237 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 2.0k
- Information Systems 950
- Computer Science Applications 148
- Hardware and Architecture 155
- Artificial Intelligence 658
Countries citing papers authored by Deke Guo
This map shows the geographic impact of Deke 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 Deke Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deke Guo more than expected).
Fields of papers citing papers by Deke Guo
This network shows the impact of papers produced by Deke 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 Deke Guo. The network helps show where Deke Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deke 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 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 25 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 3 | |
| 18 | 2020 | 27 | |
| 19 | 2020 | 7 | |
| 20 | 2018 | 12 |
About Deke Guo
Deke Guo is a scholar working on Computer Networks and Communications, Information Systems, Computer Science Applications, Transportation and Signal Processing, having authored 259 papers that have together received 3.1k indexed citations. Recurring topics across this work include Caching and Content Delivery (91 papers), Software-Defined Networks and 5G (64 papers), Cloud Computing and Resource Management (57 papers), IoT and Edge/Fog Computing (30 papers), Peer-to-Peer Network Technologies (28 papers), Indoor and Outdoor Localization Technologies (19 papers), Interconnection Networks and Systems (17 papers) and Privacy-Preserving Technologies in Data (17 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Information Systems (950 citations), Computer Science Applications (148 citations), Hardware and Architecture (155 citations) and Artificial Intelligence (658 citations). Deke Guo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xueshan Luo, Junjie Xie, Guoming Tang, Jie Wu, Honghui Chen, Lailong Luo, Bangbang Ren, Тао Чен, Ori Rottenstreich and T. B. Richard. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Parallel and Distributed Systems, Computer Networks, IEEE/ACM Transactions on Networking and IEEE Transactions on Cloud 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.