Guohong Cao
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- Liangzhong YinWensheng ZhangHao ZhuChita R. DasQinghua LiThomas La PortaGuiling WangM. Singhal
- Topics
- Mobile Ad Hoc Networks (10 papers)Caching and Content Delivery (8 papers)Distributed systems and fault tolerance (8 papers)
- Journals
- ComputerIEEE Transactions on Knowledge and Data EngineeringIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- United StatesChinaItaly
In The Last Decade
Guohong Cao
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 1.1k
- Electrical and Electronic Engineering 322
- Artificial Intelligence 117
- Computer Vision and Pattern Recognition 93
- Biomedical Engineering 81
Countries citing papers authored by Guohong Cao
This map shows the geographic impact of Guohong Cao'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 Guohong Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guohong Cao more than expected).
Fields of papers citing papers by Guohong Cao
This network shows the impact of papers produced by Guohong Cao. 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 Guohong Cao. The network helps show where Guohong Cao may publish in the future.
Co-authorship network of co-authors of Guohong Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Guohong Cao. A scholar is included among the top collaborators of Guohong Cao 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 Guohong Cao. Guohong Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 79 | |
| 6 | 3 | |
| 7 | 33 | |
| 8 | 66 | |
| 9 | 70 | |
| 10 | 20 | |
| 11 | 6 | |
| 12 | 38 | |
| 13 | 21 | |
| 14 | 19 | |
| 15 | 144 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 38 | |
| 19 | 15 | |
| 20 | 10 |
About Guohong Cao
Guohong Cao is a scholar working on Computer Networks and Communications, Hardware and Architecture and Signal Processing, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (10 papers), Caching and Content Delivery (8 papers) and Distributed systems and fault tolerance (8 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computer Science Applications (76 citations) and Signal Processing (67 citations). Guohong Cao has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Liangzhong Yin, Wensheng Zhang, Hao Zhu, Chita R. Das, Qinghua Li, Thomas La Porta, Guiling Wang, M. Singhal, Yang Zhang and Xie Li. Their work appears in journals such as Computer, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Parallel and Distributed Systems.
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.