Yun Liao
-
- Cognitive Radio Networks and Spectrum Sensing 13
- Wireless Networks and Protocols 4
-
- Full-Duplex Wireless Communications 13
- Advanced MIMO Systems Optimization 9
- Energy Harvesting in Wireless Networks 4
- Aerospace Engineering top 10%
- Radar Systems and Signal Processing 4
-
- Advanced Image and Video Retrieval Techniques 6
- Advanced Neural Network Applications 4
- Co-authors
- Lingyang SongZhu HanHongliang ZhangTianyu WangKaigui BianYonghui LiJ.M. CioffiSeyyed Ali Hashemi
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAerospace Engineering
- Journals
- Journal of Cleaner Production (1 paper)Scientific Reports (1 paper)IEEE Communications Magazine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yun Liao
42 papers receiving 680 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 437
- Electrical and Electronic Engineering 548
- Aerospace Engineering 122
- Computer Vision and Pattern Recognition 66
- Media Technology 25
Countries citing papers authored by Yun Liao
This map shows the geographic impact of Yun Liao'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 Yun Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Liao more than expected).
Fields of papers citing papers by Yun Liao
This network shows the impact of papers produced by Yun Liao. 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 Yun Liao. The network helps show where Yun Liao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yun Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 7 | |
| 8 | 2016 | 33 | |
| 9 | 2016 | 12 | |
| 10 | 2016 | 73 | |
| 11 | 2015 | 72 | |
| 12 | 2015 | 14 | |
| 13 | 2015 | 8 | |
| 14 | 2015 | 1 | |
| 15 | 2012 | 8 | |
| 16 | 2011 | 1 | |
| 17 | 2011 | 1 | |
| 18 | Demarcated Method of Distributed Fiber Raman Temperature Sensor | 2006 | 1 |
| 19 | 2006 | 2 | |
| 20 | Pre-pumped passively Q-switched Nd:YAG/Cr:YAG microchip laser | 2005 | 3 |
About Yun Liao
Yun Liao is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 44 papers that have together received 697 indexed citations. Recurring topics across this work include Full-Duplex Wireless Communications (13 papers), Cognitive Radio Networks and Spectrum Sensing (13 papers), Advanced MIMO Systems Optimization (9 papers), Advanced Image and Video Retrieval Techniques (6 papers), Energy Harvesting in Wireless Networks (4 papers), Wireless Networks and Protocols (4 papers), Radar Systems and Signal Processing (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (437 citations), Electrical and Electronic Engineering (548 citations) and Aerospace Engineering (122 citations). Yun Liao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lingyang Song, Zhu Han, Hongliang Zhang, Tianyu Wang, Kaigui Bian, Yonghui Li, J.M. Cioffi, Seyyed Ali Hashemi, Ying–Jun Angela Zhang and Bingli Jiao. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports 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.