Yunxin Liu
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Information Systems top 2%
- Co-authors
- Lin ZhongXuanzhe LiuRobert LiKamWaNicholas D. LaneYuanchun LiZhiqi LinMengwei XuFengyuan Xu
- Topics
- Advanced Neural Network Applications (33 papers)Green IT and Sustainability (23 papers)IoT and Edge/Fog Computing (14 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsHardware and Architecture
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yunxin Liu
136 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 1.4k
- Computer Networks and Communications 1.1k
- Artificial Intelligence 962
- Electrical and Electronic Engineering 856
- Information Systems 452
Countries citing papers authored by Yunxin Liu
This map shows the geographic impact of Yunxin 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 Yunxin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunxin Liu more than expected).
Fields of papers citing papers by Yunxin Liu
This network shows the impact of papers produced by Yunxin 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 Yunxin Liu. The network helps show where Yunxin Liu may publish in the future.
Co-authorship network of co-authors of Yunxin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yunxin Liu. A scholar is included among the top collaborators of Yunxin 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 Yunxin Liu. Yunxin 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 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 30 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 27 | |
| 19 | 5 | |
| 20 | V-edge: fast self-constructive power modeling of smartphones based on battery voltage dynamics | 75 |
About Yunxin Liu
Yunxin Liu is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 143 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (33 papers), Green IT and Sustainability (23 papers) and IoT and Edge/Fog Computing (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Computer Networks and Communications (1.1k citations) and Hardware and Architecture (274 citations). Yunxin Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lin Zhong, Xuanzhe Liu, Robert LiKamWa, Nicholas D. Lane, Yuanchun Li, Zhiqi Lin, Mengwei Xu, Fengyuan Xu, Chen Zhang and Lintao Zhang. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Communications Magazine.
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.