Minrui Xu
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Dusit NiyatoJiawen KangZehui XiongXuemin ShenChunyan MiaoWei Yang Bryan LimDong In KimShiwen Mao
- Topics
- Privacy-Preserving Technologies in Data (20 papers)IoT and Edge/Fog Computing (16 papers)Blockchain Technology Applications and Security (15 papers)
- Journals
- Proceedings of the IEEEIEEE Communications Surveys & TutorialsIEEE Journal on Selected Areas in Communications
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Minrui Xu
78 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 601
- Artificial Intelligence 469
- Information Systems 350
- Electrical and Electronic Engineering 320
- Computer Vision and Pattern Recognition 214
Countries citing papers authored by Minrui Xu
This map shows the geographic impact of Minrui Xu'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 Minrui Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minrui Xu more than expected).
Fields of papers citing papers by Minrui Xu
This network shows the impact of papers produced by Minrui Xu. 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 Minrui Xu. The network helps show where Minrui Xu may publish in the future.
Co-authorship network of co-authors of Minrui Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Minrui Xu. A scholar is included among the top collaborators of Minrui Xu 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 Minrui Xu. Minrui Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 29 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 39 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 32 | |
| 16 | 16 | |
| 17 | 28 | |
| 18 | 13 | |
| 19 | 26 | |
| 20 | A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challengesbreakdown → | 371 |
About Minrui Xu
Minrui Xu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Human-Computer Interaction, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (20 papers), IoT and Edge/Fog Computing (16 papers) and Blockchain Technology Applications and Security (15 papers). The work is most often cited by research in Human-Computer Interaction (171 citations), Computer Networks and Communications (601 citations) and Information Systems (350 citations). Minrui Xu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Dusit Niyato, Jiawen Kang, Zehui Xiong, Xuemin Shen, Chunyan Miao, Wei Yang Bryan Lim, Dong In Kim, Shiwen Mao, Wei Chong Ng and Qiang Yang. Their work appears in journals such as Proceedings of the IEEE, 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.