Xueqiang Yan
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Co-authors
- Xiaofei WangDusit NiyatoYiwen HanXu ChenVictor C. M. LeungShuiguang DengJian WuMingwen Wang
- Topics
- IoT and Edge/Fog Computing (7 papers)Privacy-Preserving Technologies in Data (7 papers)Blockchain Technology Applications and Security (6 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionArtificial Intelligence
In The Last Decade
Xueqiang Yan
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Networks and Communications 679
- Artificial Intelligence 392
- Electrical and Electronic Engineering 356
- Computer Vision and Pattern Recognition 254
- Information Systems 217
Countries citing papers authored by Xueqiang Yan
This map shows the geographic impact of Xueqiang Yan'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 Xueqiang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueqiang Yan more than expected).
Fields of papers citing papers by Xueqiang Yan
This network shows the impact of papers produced by Xueqiang Yan. 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 Xueqiang Yan. The network helps show where Xueqiang Yan may publish in the future.
Co-authorship network of co-authors of Xueqiang Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Xueqiang Yan. A scholar is included among the top collaborators of Xueqiang Yan 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 Xueqiang Yan. Xueqiang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 20 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | Convergence of Edge Computing and Deep Learning: A Comprehensive Surveybreakdown → | 963 |
| 18 | 27 | |
| 19 | 42 | |
| 20 | 1 |
About Xueqiang Yan
Xueqiang Yan is a scholar working on Computer Networks and Communications, Urban Studies and Information Systems, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Privacy-Preserving Technologies in Data (7 papers) and Blockchain Technology Applications and Security (6 papers). The work is most often cited by research in Computer Networks and Communications (679 citations), Computer Vision and Pattern Recognition (254 citations) and Artificial Intelligence (392 citations). Xueqiang Yan has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Xiaofei Wang, Dusit Niyato, Yiwen Han, Xu Chen, Victor C. M. Leung, Shuiguang Deng, Jian Wu, Mingwen Wang, Zhiyuan Hu and Mingyu Zhao. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Wireless Communications and IEEE Transactions on Information Forensics and Security.
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.