Xiaomei Liu
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Co-authors
- Shuzhi Sam GeCher-Hiang GohLi XiaoKevin W. BowyerPatrick J. FlynnYunhao LiuLionel M. NiZhaokai Li
- Topics
- Distributed Control Multi-Agent Systems (7 papers)Peer-to-Peer Network Technologies (6 papers)Caching and Content Delivery (6 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaomei Liu
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 587
- Artificial Intelligence 286
- Signal Processing 233
- Computer Vision and Pattern Recognition 229
- Information Systems 176
Countries citing papers authored by Xiaomei Liu
This map shows the geographic impact of Xiaomei Liu'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 Xiaomei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomei Liu more than expected).
Fields of papers citing papers by Xiaomei Liu
This network shows the impact of papers produced by Xiaomei Liu. 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 Xiaomei Liu. The network helps show where Xiaomei Liu may publish in the future.
Co-authorship network of co-authors of Xiaomei Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomei Liu. A scholar is included among the top collaborators of Xiaomei Liu 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 Xiaomei Liu. Xiaomei Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 36 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 29 | |
| 8 | 57 | |
| 9 | 60 | |
| 10 | 5 | |
| 11 | 37 | |
| 12 | 171 | |
| 13 | Rectifying drifts of symplectic algorithm | 0 |
| 14 | On the Methods for Cultivating Innovative People | 0 |
| 15 | Optimizations in iris recognition | 14 |
| 16 | 9 | |
| 17 | 24 | |
| 18 | 114 | |
| 19 | Researches on Syllabic Length of Neologisms in Contemporary Chinese | 1 |
| 20 | 21 |
About Xiaomei Liu
Xiaomei Liu is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (7 papers), Peer-to-Peer Network Technologies (6 papers) and Caching and Content Delivery (6 papers). The work is most often cited by research in Computer Networks and Communications (587 citations), Signal Processing (233 citations) and Computer Vision and Pattern Recognition (229 citations). Xiaomei Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuzhi Sam Ge, Cher-Hiang Goh, Li Xiao, Kevin W. Bowyer, Patrick J. Flynn, Yunhao Liu, Lionel M. Ni, Zhaokai Li, Jiangfeng Du and Nanyang Xu. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Cybernetics and Neural Networks.
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.