Guangchun Luo
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Cognitive Neuroscience
- Topics
- Caching and Content Delivery (11 papers)Software-Defined Networks and 5G (11 papers)Opportunistic and Delay-Tolerant Networks (9 papers)
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsCognitive Neuroscience
- Journals
- IEEE Transactions on CyberneticsIEEE Transactions on Consumer ElectronicsACM SIGOPS Operating Systems Review
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Guangchun Luo
32 papers receiving 365 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 235
- Electrical and Electronic Engineering 105
- Artificial Intelligence 68
- Computational Theory and Mathematics 56
- Cognitive Neuroscience 52
Countries citing papers authored by Guangchun Luo
This map shows the geographic impact of Guangchun Luo'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 Guangchun Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangchun Luo more than expected).
Fields of papers citing papers by Guangchun Luo
This network shows the impact of papers produced by Guangchun Luo. 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 Guangchun Luo. The network helps show where Guangchun Luo may publish in the future.
Co-authorship network of co-authors of Guangchun Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Guangchun Luo. A scholar is included among the top collaborators of Guangchun Luo 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 Guangchun Luo. Guangchun Luo 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 | 3 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 57 | |
| 9 | 2 | |
| 10 | 30 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Research on a New Infrastructure of Trustworthy Networks | 0 |
| 17 | Research on Scheduling Algorithm of the Computing Pool | 0 |
| 18 | 1 | |
| 19 | 10 | |
| 20 | 1 |
About Guangchun Luo
Guangchun Luo is a scholar working on Computer Networks and Communications, Urban Studies and Electrical and Electronic Engineering, having authored 37 papers that have together received 377 indexed citations. Recurring topics across this work include Caching and Content Delivery (11 papers), Software-Defined Networks and 5G (11 papers) and Opportunistic and Delay-Tolerant Networks (9 papers). The work is most often cited by research in Computer Networks and Communications (235 citations), Computational Theory and Mathematics (56 citations) and Cognitive Neuroscience (52 citations). Guangchun Luo has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaojun Cao, Ling Tian, Wang Hu, Gary G. Yen, Danyang Zheng, Chengzong Peng, Junbao Zhang, Ke Qin, Junming Shao and Chun Meng. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Consumer Electronics and ACM SIGOPS Operating Systems Review.
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.