Xijuan Guo
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Co-authors
- Zheng ChangLiqing LiuTapani RistaniemiShiwen MaoZhu HanQuan ShengTimo HämäläinenZhenyu Zhou
- Topics
- IoT and Edge/Fog Computing (12 papers)Energy Harvesting in Wireless Networks (11 papers)Robotic Mechanisms and Dynamics (8 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsElectrical and Electronic Engineering
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Xijuan Guo
45 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 892
- Electrical and Electronic Engineering 631
- Information Systems 322
- Computer Vision and Pattern Recognition 140
- Aerospace Engineering 118
Countries citing papers authored by Xijuan Guo
This map shows the geographic impact of Xijuan Guo'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 Xijuan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xijuan Guo more than expected).
Fields of papers citing papers by Xijuan Guo
This network shows the impact of papers produced by Xijuan Guo. 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 Xijuan Guo. The network helps show where Xijuan Guo may publish in the future.
Co-authorship network of co-authors of Xijuan Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Xijuan Guo. A scholar is included among the top collaborators of Xijuan Guo 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 Xijuan Guo. Xijuan Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 22 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 54 | |
| 8 | 122 | |
| 9 | 40 | |
| 10 | 122 | |
| 11 | 64 | |
| 12 | 27 | |
| 13 | Multiobjective Optimization for Computation Offloading in Fog Computingbreakdown → | 406 |
| 14 | 47 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | Kinematic analysis of a new nested inner-outer ring mechanism | 1 |
| 18 | Dynamic Performance Analysis and Simulation of Stanford Robot | 1 |
| 19 | The Application of Matlab in Simulation of the Parallel Mechanism | 3 |
| 20 | Analysis for Acceleration Performance Indices of Parallel Robots | 4 |
About Xijuan Guo
Xijuan Guo is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Energy Harvesting in Wireless Networks (11 papers) and Robotic Mechanisms and Dynamics (8 papers). The work is most often cited by research in Computer Networks and Communications (892 citations), Information Systems (322 citations) and Electrical and Electronic Engineering (631 citations). Xijuan Guo has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Zheng Chang, Liqing Liu, Tapani Ristaniemi, Shiwen Mao, Zhu Han, Quan Sheng, Timo Hämäläinen, Zhenyu Zhou, Chungang Yang and Jin Xie. Their work appears in journals such as Scientific Reports, IEEE Journal on Selected Areas in Communications and Sensors.
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.