Guanghui Wang
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence top 10%
- Topics
- Privacy-Preserving Technologies in Data (13 papers)Indoor and Outdoor Localization Technologies (11 papers)Mobile Crowdsensing and Crowdsourcing (7 papers)
- Cited by
- Energy Engineering and Power TechnologyIndustrial and Manufacturing EngineeringComputer Networks and Communications
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Guanghui Wang
57 papers receiving 707 citations
Peers
Comparison fields: 5 of 92
- Electrical and Electronic Engineering 276
- Computer Networks and Communications 193
- Control and Systems Engineering 120
- Industrial and Manufacturing Engineering 100
- Artificial Intelligence 100
Countries citing papers authored by Guanghui Wang
This map shows the geographic impact of Guanghui Wang'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 Guanghui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanghui Wang more than expected).
Fields of papers citing papers by Guanghui Wang
This network shows the impact of papers produced by Guanghui Wang. 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 Guanghui Wang. The network helps show where Guanghui Wang may publish in the future.
Co-authorship network of co-authors of Guanghui Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guanghui Wang. A scholar is included among the top collaborators of Guanghui Wang 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 Guanghui Wang. Guanghui Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 131 | |
| 20 | Stability,Convergence of Harmonious Particle Swarm Optimizer and Its Application | 2 |
About Guanghui Wang
Guanghui Wang is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Networks and Communications, having authored 63 papers that have together received 728 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (13 papers), Indoor and Outdoor Localization Technologies (11 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (44 citations), Industrial and Manufacturing Engineering (100 citations) and Computer Networks and Communications (193 citations). Guanghui Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lidong Wang, Weisheng Wang, Yonghua Song, Xia Yang, Weigang Sun, Shuai Wang, Yongqing Wu, Jianping Pan, Jianping He and Xiufang Shi. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Reports on Progress in Physics and IEEE Access.
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.