Lanyu Xu
- Computer Networks and Communications top 0.2%
- Information Systems top 0.2%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 1%
- Co-authors
- Weisong ShiJie CaoQuan ZhangYouhuizi LiXingzhou ZhangLiangkai LiuSidi LuYifan Wang
- Topics
- IoT and Edge/Fog Computing (6 papers)Advanced Neural Network Applications (4 papers)Context-Aware Activity Recognition Systems (4 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- United StatesChina
In The Last Decade
Lanyu Xu
14 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Networks and Communications 3.6k
- Information Systems 1.7k
- Electrical and Electronic Engineering 1.3k
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.0k
Countries citing papers authored by Lanyu Xu
This map shows the geographic impact of Lanyu 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 Lanyu Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanyu Xu more than expected).
Fields of papers citing papers by Lanyu Xu
This network shows the impact of papers produced by Lanyu 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 Lanyu Xu. The network helps show where Lanyu Xu may publish in the future.
Co-authorship network of co-authors of Lanyu Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Lanyu Xu. A scholar is included among the top collaborators of Lanyu 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 Lanyu Xu. Lanyu 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 | 8 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 0 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 86 | |
| 12 | 23 | |
| 13 | 36 | |
| 14 | 11 | |
| 15 | Edge Computing: Vision and Challengesbreakdown → | 5097 |
| 16 | 4 | |
| 17 | Study on Energy Catastrophe Theory Analysis of Gravity Dam Sliding along Foundation Plane | 1 |
About Lanyu Xu
Lanyu Xu is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 17 papers that have together received 5.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Advanced Neural Network Applications (4 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (3.6k citations), Information Systems (1.7k citations) and Computer Vision and Pattern Recognition (1.1k citations). Lanyu Xu has collaborated with scholars based in United States and China. Frequent co-authors include Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, Xingzhou Zhang, Liangkai Liu, Sidi Lu, Yifan Wang, Guangda Liu and Simeng Zhu. Their work appears in journals such as Physics in Medicine and Biology, Neurocomputing and IEEE Internet of Things Journal.
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.