Yunhao Liu
- Computer Science Applications top 0.5%
- Computer Networks and Communications top 0.5%
- Energy Efficient Wireless Sensor Networks 52
- Mobile Ad Hoc Networks 32
- Opportunistic and Delay-Tolerant Networks 22
- Caching and Content Delivery 14
- Wireless Networks and Protocols 13
- Transportation top 1%
- Signal Processing top 2%
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- Context-Aware Activity Recognition Systems 14
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- Indoor and Outdoor Localization Technologies 23
- Energy Harvesting in Wireless Networks 17
- Co-authors
- Mo LiZheng YangJiliang WangYuan HeXinglin ZhangXiang‐Yang LiXufei MaoWei Sun
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yunhao Liu
173 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Science Applications 580
- Computer Networks and Communications 2.4k
- Transportation 428
- Signal Processing 405
- Computer Vision and Pattern Recognition 655
Countries citing papers authored by Yunhao Liu
This map shows the geographic impact of Yunhao 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 Yunhao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunhao Liu more than expected).
Fields of papers citing papers by Yunhao Liu
This network shows the impact of papers produced by Yunhao 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 Yunhao Liu. The network helps show where Yunhao Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunhao Liu, 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 | 2025 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 17 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 25 | |
| 18 | 2019 | 15 | |
| 19 | 2018 | 11 | |
| 20 | Indexable PLA for efficient similarity search | 2007 | 74 |
About Yunhao Liu
Yunhao Liu is a scholar working on Computer Networks and Communications, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 182 papers that have together received 4.4k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (52 papers), Mobile Ad Hoc Networks (32 papers), Indoor and Outdoor Localization Technologies (23 papers), Opportunistic and Delay-Tolerant Networks (22 papers), Energy Harvesting in Wireless Networks (17 papers), Context-Aware Activity Recognition Systems (14 papers), Caching and Content Delivery (14 papers) and Wireless Networks and Protocols (13 papers). The work is most often cited by research in Computer Science Applications (580 citations), Computer Networks and Communications (2.4k citations) and Transportation (428 citations). Yunhao Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mo Li, Zheng Yang, Jiliang Wang, Yuan He, Xinglin Zhang, Xiang‐Yang Li, Xufei Mao, Wei Sun, Zimu Zhou and Kebin Liu. Their work appears in journals such as PLoS ONE, IEEE Communications Surveys & Tutorials and IEEE Access.
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.