Guoliang Xing
- Computer Networks and Communications top 0.1%
- Electrical and Electronic Engineering top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Biomedical Engineering top 5%
- Co-authors
- Chenyang LuXiaorui WangRobert PlessChristopher GillYuanfang ZhangRuogu ZhouGang ZhouWeijia Jia
- Topics
- Energy Efficient Wireless Sensor Networks (80 papers)Energy Harvesting in Wireless Networks (37 papers)Mobile Ad Hoc Networks (35 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- BioinformaticsIEEE Communications Surveys & TutorialsIEEE Journal on Selected Areas in Communications
- Partner nations
- United StatesHong KongChina
In The Last Decade
Guoliang Xing
228 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Networks and Communications 5.3k
- Electrical and Electronic Engineering 4.0k
- Computer Vision and Pattern Recognition 952
- Artificial Intelligence 796
- Biomedical Engineering 533
Countries citing papers authored by Guoliang Xing
This map shows the geographic impact of Guoliang Xing'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 Guoliang Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoliang Xing more than expected).
Fields of papers citing papers by Guoliang Xing
This network shows the impact of papers produced by Guoliang Xing. 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 Guoliang Xing. The network helps show where Guoliang Xing may publish in the future.
Co-authorship network of co-authors of Guoliang Xing
This figure shows the co-authorship network connecting the top 25 collaborators of Guoliang Xing. A scholar is included among the top collaborators of Guoliang Xing 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 Guoliang Xing. Guoliang Xing 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 | 1 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 26 | |
| 19 | 8 | |
| 20 | 24 |
About Guoliang Xing
Guoliang Xing is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 241 papers that have together received 7.9k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (80 papers), Energy Harvesting in Wireless Networks (37 papers) and Mobile Ad Hoc Networks (35 papers). The work is most often cited by research in Computer Networks and Communications (5.3k citations), Electrical and Electronic Engineering (4.0k citations) and Computer Vision and Pattern Recognition (952 citations). Guoliang Xing has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Chenyang Lu, Xiaorui Wang, Robert Pless, Christopher Gill, Yuanfang Zhang, Ruogu Zhou, Gang Zhou, Weijia Jia, Tian Wang and Hao Tian. Their work appears in journals such as Bioinformatics, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in Communications.
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.