Jun Liu
- Aerospace Engineering top 0.1%
- Radar Systems and Signal Processing 136
- Advanced SAR Imaging Techniques 84
- Signal Processing top 0.5%
- Direction-of-Arrival Estimation Techniques 83
- Computational Mathematics top 5%
- Media Technology top 1%
- Remote-Sensing Image Classification 23
- Oceanography top 5%
- Ocean Waves and Remote Sensing 14
-
- Distributed Sensor Networks and Detection Algorithms 27
-
- Target Tracking and Data Fusion in Sensor Networks 23
-
- Microwave Imaging and Scattering Analysis 16
- Co-authors
- Weijian LiuYongliang WangHongbin LiBraham HimedChengpeng HaoZijing ZhangWenchong XieJian Li
- Journals
- IEEE Transactions on Signal Processing (27 papers)Signal Processing (26 papers)IEEE Transactions on Aerospace and Electronic Systems (21 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Jun Liu
304 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Aerospace Engineering 3.3k
- Signal Processing 1.3k
- Computational Mathematics 31
- Media Technology 378
- Oceanography 399
Countries citing papers authored by Jun Liu
This map shows the geographic impact of Jun 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 Jun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liu more than expected).
Fields of papers citing papers by Jun Liu
This network shows the impact of papers produced by Jun 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 Jun Liu. The network helps show where Jun Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 110 | |
| 14 | 2020 | 18 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 43 | |
| 17 | 2017 | 13 | |
| 18 | 2015 | 10 | |
| 19 | The Sampling Algorithm of the Detection Efficiency Calibration for the Measurement of Rectangular Waste Container | 2011 | 1 |
| 20 | Reparameterization in Surface Fitting | 2004 | 1 |
About Jun Liu
Jun Liu is a scholar working on Signal Processing, Aerospace Engineering, Media Technology, Geology and Oceanography, having authored 334 papers that have together received 5.3k indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (136 papers), Advanced SAR Imaging Techniques (84 papers), Direction-of-Arrival Estimation Techniques (83 papers), Distributed Sensor Networks and Detection Algorithms (27 papers), Target Tracking and Data Fusion in Sensor Networks (23 papers), Remote-Sensing Image Classification (23 papers), Microwave Imaging and Scattering Analysis (16 papers) and Ocean Waves and Remote Sensing (14 papers). The work is most often cited by research in Aerospace Engineering (3.3k citations), Signal Processing (1.3k citations), Computational Mathematics (31 citations), Media Technology (378 citations) and Oceanography (399 citations). Jun Liu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Weijian Liu, Yongliang Wang, Hongbin Li, Braham Himed, Chengpeng Hao, Zijing Zhang, Wenchong Xie, Jian Li, Hongwei Liu and Danilo Orlando. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, IEEE Signal Processing Letters and IEEE Transactions on Geoscience and Remote Sensing.
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.