Deyun Gao
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Materials Chemistry
- Co-authors
- Hongke ZhangChuan Heng FohJianfei CaiBrahim BensaouDanny H. K. TsangJunqi DuanHan‐Chieh ChaoDong Yang
- Topics
- Software-Defined Networks and 5G (39 papers)Mobile Ad Hoc Networks (32 papers)Energy Efficient Wireless Sensor Networks (30 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringInformation Systems
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Deyun Gao
135 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 73
- Computer Networks and Communications 1.5k
- Electrical and Electronic Engineering 934
- Artificial Intelligence 153
- Information Systems 139
- Materials Chemistry 84
Countries citing papers authored by Deyun Gao
This map shows the geographic impact of Deyun Gao'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 Deyun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyun Gao more than expected).
Fields of papers citing papers by Deyun Gao
This network shows the impact of papers produced by Deyun Gao. 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 Deyun Gao. The network helps show where Deyun Gao may publish in the future.
Co-authorship network of co-authors of Deyun Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Deyun Gao. A scholar is included among the top collaborators of Deyun Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deyun Gao. Deyun Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 14 | |
| 10 | 22 | |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 10 | |
| 14 | 28 | |
| 15 | 23 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | An Energy-aware Method for Multi-domain Service Function Chaining | 8 |
| 19 | 11 | |
| 20 | PCNDN: Proactive caching for efficient mobility support in NDN. | 0 |
About Deyun Gao
Deyun Gao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture, having authored 148 papers that have together received 1.9k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (39 papers), Mobile Ad Hoc Networks (32 papers) and Energy Efficient Wireless Sensor Networks (30 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Electrical and Electronic Engineering (934 citations) and Information Systems (139 citations). Deyun Gao has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Hongke Zhang, Chuan Heng Foh, Jianfei Cai, Brahim Bensaou, Danny H. K. Tsang, Junqi Duan, Han‐Chieh Chao, Dong Yang, Wei Quan and Hsiao‐Hwa Chen. Their work appears in journals such as Applied Physics Letters, Advanced Functional Materials and Chemical Physics Letters.
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.