Junyu Liu
Impact in
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- Cooperative Communication and Network Coding
- IoT and Edge/Fog Computing
- Aerospace Engineering top 2%
- UAV Applications and Optimization
- Satellite Communication Systems
Papers in
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- Cooperative Communication and Network Coding 34
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- Satellite Communication Systems 28
- UAV Applications and Optimization 27
- Co-authors
- Min Sheng (106 shared papers)Jiandong Li (77 shared papers)Yang Zheng (11 shared papers)Yanpeng Dai (14 shared papers)Xuemin (Sherman) Shen (7 shared papers)Nan Sheng Cheng (7 shared papers)Lei Liu (3 shared papers)Lei Liu (10 shared papers)
In The Last Decade
Junyu Liu
120 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 761
- Aerospace Engineering 608
- Electrical and Electronic Engineering 1.2k
- Media Technology 109
- Signal Processing 117
Countries citing papers authored by Junyu Liu
This map shows the geographic impact of Junyu 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 Junyu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Liu more than expected).
Fields of papers citing papers by Junyu Liu
This network shows the impact of papers produced by Junyu 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 Junyu Liu. The network helps show where Junyu Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu 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
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 116 | |
| 2 | 2021 | 111 | |
| 3 | 2020 | 104 | |
| 4 | 2023 | 90 | |
| 5 | 2017 | 80 | |
| 6 | 2019 | 78 | |
| 7 | 2021 | 62 | |
| 8 | 2023 | 60 | |
| 9 | 2016 | 48 | |
| 10 | 2017 | 47 | |
| 11 | 2020 | 46 | |
| 12 | 2016 | 44 | |
| 13 | 2018 | 43 | |
| 14 | 2013 | 37 | |
| 15 | 2022 | 35 | |
| 16 | 2016 | 32 | |
| 17 | 2021 | 29 | |
| 18 | 2018 | 28 | |
| 19 | 2022 | 26 | |
| 20 | 2022 | 26 |
About Junyu Liu
Junyu Liu is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Signal Processing and Ocean Engineering, having authored 134 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (40 papers), Cooperative Communication and Network Coding (34 papers), Advanced Wireless Communication Technologies (28 papers), Satellite Communication Systems (28 papers), UAV Applications and Optimization (27 papers), Millimeter-Wave Propagation and Modeling (19 papers), Advanced Wireless Network Optimization (16 papers) and Indoor and Outdoor Localization Technologies (15 papers). The work is most often cited by research in Computer Networks and Communications (761 citations), Aerospace Engineering (608 citations), Electrical and Electronic Engineering (1.2k citations), Media Technology (109 citations) and Signal Processing (117 citations). Junyu Liu has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Min Sheng, Jiandong Li, Yang Zheng, Yanpeng Dai, Xuemin (Sherman) Shen, Nan Sheng Cheng, Lei Liu, Lei Liu, Qinghai Yang and Huafeng Li. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal and Science China Information Sciences.
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.