Xiaojun Zhu
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 2%
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Topics
- UAV Applications and Optimization (24 papers)Mobile Ad Hoc Networks (20 papers)Energy Efficient Wireless Sensor Networks (18 papers)
- Cited by
- Computer Networks and CommunicationsEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Xiaojun Zhu
82 papers receiving 945 citations
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 605
- Computer Networks and Communications 549
- Aerospace Engineering 195
- Computer Vision and Pattern Recognition 126
- Control and Systems Engineering 77
Countries citing papers authored by Xiaojun Zhu
This map shows the geographic impact of Xiaojun Zhu'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 Xiaojun Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Zhu more than expected).
Fields of papers citing papers by Xiaojun Zhu
This network shows the impact of papers produced by Xiaojun Zhu. 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 Xiaojun Zhu. The network helps show where Xiaojun Zhu may publish in the future.
Co-authorship network of co-authors of Xiaojun Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Zhu. A scholar is included among the top collaborators of Xiaojun Zhu 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 Xiaojun Zhu. Xiaojun Zhu 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 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | A near optimal power allocation scheme for cooperative relay networking with NOMA | 2 |
| 11 | 13 | |
| 12 | 9 | |
| 13 | 50 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | Experimental Study on Slip Velocity of Coarse Particles in Vertical Lifting Pipe | 1 |
| 17 | Ubiquitous Energy Internet—New Energy Internet Coupling with Information and Energy | 5 |
| 18 | 39 | |
| 19 | Soil lateral mode and numerical analysis of pile foundataion subjected to adjacent surcharge loads | 0 |
| 20 | The Application of Finite State Machine in the CGF's Behavior Modeling | 1 |
About Xiaojun Zhu
Xiaojun Zhu is a scholar working on Computer Networks and Communications, General Engineering and Energy Engineering and Power Technology, having authored 93 papers that have together received 973 indexed citations. Recurring topics across this work include UAV Applications and Optimization (24 papers), Mobile Ad Hoc Networks (20 papers) and Energy Efficient Wireless Sensor Networks (18 papers). The work is most often cited by research in Computer Networks and Communications (549 citations), Energy Engineering and Power Technology (48 citations) and Electrical and Electronic Engineering (605 citations). Xiaojun Zhu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Guihai Chen, Qun Li, Xiaobing Wu, Dijun Luo, Chao Dong, Fengyuan Xu, Chiu C. Tan, Shaojie Tang, Lijie Xu and Qihui Wu. Their work appears in journals such as Applied Energy, IEEE Access and IEEE Transactions on Vehicular Technology.
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.