Jun Liu

7.6k total citations · 1 hit paper
334 papers, 5.3k citations indexed

About

Jun Liu is a scholar working on Aerospace Engineering, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jun Liu has authored 334 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Aerospace Engineering, 99 papers in Signal Processing and 44 papers in Artificial Intelligence. Recurrent topics in Jun Liu's work include Radar Systems and Signal Processing (136 papers), Advanced SAR Imaging Techniques (84 papers) and Direction-of-Arrival Estimation Techniques (83 papers). Jun Liu is often cited by papers focused on Radar Systems and Signal Processing (136 papers), Advanced SAR Imaging Techniques (84 papers) and Direction-of-Arrival Estimation Techniques (83 papers). Jun Liu collaborates with scholars based in China, United States and Italy. Jun Liu's co-authors include Weijian Liu, Yongliang Wang, Hongbin Li, Braham Himed, Chengpeng Hao, Zijing Zhang, Wenchong Xie, Jian Li, Hongwei Liu and Danilo Orlando and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Finance and Bioinformatics.

In The Last Decade

Jun Liu

304 papers receiving 5.1k citations

Hit Papers

Multichannel adaptive signal detection: basic theory and ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Liu China 40 3.3k 1.3k 782 680 573 334 5.3k
Gang Li China 40 2.5k 0.8× 384 0.3× 1.3k 1.7× 802 1.2× 664 1.2× 327 6.0k
Ruizhi Chen China 45 2.6k 0.8× 807 0.6× 412 0.5× 520 0.8× 722 1.3× 329 6.9k
Wei Liu China 44 3.5k 1.1× 3.8k 2.9× 619 0.8× 683 1.0× 825 1.4× 745 8.8k
Bo Chen China 31 1.7k 0.5× 294 0.2× 334 0.4× 1.5k 2.1× 167 0.3× 211 4.4k
Feng Zhou China 40 3.2k 1.0× 123 0.1× 1.2k 1.5× 556 0.8× 377 0.7× 316 5.0k
Yonggang Zhang China 39 2.1k 0.6× 614 0.5× 190 0.2× 4.0k 5.8× 796 1.4× 300 6.3k
Naser El‐Sheimy Canada 46 5.1k 1.6× 490 0.4× 332 0.4× 2.1k 3.1× 666 1.2× 385 8.3k
T.S. Durrani United Kingdom 29 744 0.2× 517 0.4× 253 0.3× 473 0.7× 324 0.6× 252 3.1k
Jie Wang China 40 878 0.3× 627 0.5× 507 0.6× 664 1.0× 2.0k 3.5× 346 5.9k
Liang Chen China 31 1.5k 0.5× 493 0.4× 154 0.2× 371 0.5× 521 0.9× 222 3.7k

Countries citing papers authored by Jun Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Liu. A scholar is included among the top collaborators of Jun 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 Jun Liu. Jun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Jun, et al.. (2024). MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2507–2515. 2 indexed citations
2.
Wu, Yuntao, et al.. (2024). Bayesian detection for distributed target with limited training data. Digital Signal Processing. 149. 104475–104475.
3.
Yin, Hongliang, Ningning Song, Haiying Zong, et al.. (2024). Phosphorus and selenium compounding mitigates Cr stress in peanut seedlings by enhancing growth homeostasis and antioxidant properties. Environmental Science and Pollution Research. 31(38). 50929–50941. 2 indexed citations
5.
Xu, Hong, et al.. (2024). Adaptive Detection in Deterministic Subspace Interference Based on Wald-Like Test. IEEE Transactions on Aerospace and Electronic Systems. 60(5). 7159–7171. 7 indexed citations
6.
Shao, Liang, et al.. (2024). DY-LIO: Tightly Coupled LiDAR-Inertial Odometry for Dynamic Environments. IEEE Sensors Journal. 24(21). 34756–34765. 2 indexed citations
7.
Wu, Yuntao, et al.. (2024). Bayesian Distributed Target Detection for Mismatched Signals in Sample-Starved Environment. IEEE Geoscience and Remote Sensing Letters. 21. 1–5.
8.
Wang, Yongliang, et al.. (2023). Adaptive double subspace target detection based on gradient test: Designs and comparisons. Digital Signal Processing. 145. 104323–104323. 2 indexed citations
9.
Fan, Weiwei, et al.. (2023). Aggregated-attention deformable convolutional network for few-shot SAR jamming recognition. Pattern Recognition. 146. 109990–109990. 9 indexed citations
10.
Li, Shiyuan, et al.. (2023). High-Resolution Orbital Angular Momentum Imaging With the Removal of Bessel Function Modulation Effect. IEEE Transactions on Microwave Theory and Techniques. 72(4). 2577–2590. 7 indexed citations
11.
Liu, Jun, et al.. (2022). Inner wall temperature distribution measurement of the ladle based on cavity effective emissivity correction. Scientific Reports. 12(1). 4 indexed citations
12.
Wang, Zeyu, Jun Liu, Yachao Li, Hongmeng Chen, & Mugen Peng. (2022). Adaptive Subspace Signal Detection in Structured Interference Plus Compound Gaussian Sea Clutter. Remote Sensing. 14(9). 2274–2274. 6 indexed citations
13.
Liu, Jun, Zengfu Hou, Wei Li, et al.. (2021). Multipixel Anomaly Detection With Unknown Patterns for Hyperspectral Imagery. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5557–5567. 110 indexed citations
14.
Liu, Jun, et al.. (2020). Training Data Assisted Anomaly Detection of Multi-Pixel Targets In Hyperspectral Imagery. IEEE Transactions on Signal Processing. 68. 3022–3032. 18 indexed citations
15.
Zhang, Zijing, et al.. (2019). Adaptive Bayesian Detection for MIMO Radar in Gaussian Clutter. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Li, Jianzhao, Stephen Ho, Moez Haque, et al.. (2019). Femtosecond laser additive and subtractive micro-processing: enabling a high-channel-density silica interposer for multicore fibre to silicon-photonic packaging. International Journal of Extreme Manufacturing. 1(4). 45002–45002. 43 indexed citations
17.
Qu, Tengteng, Wei Zang, Zhenwei Peng, et al.. (2017). Construction Site Monitoring Using UAV Oblique Photogrammetry and BIM Technologies. Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia. 655–662. 13 indexed citations
18.
Zhang, Tao, et al.. (2015). Fusion Algorithm for Hyperspectral Remote Sensing Image Combined with Harmonic Analysis and Gram-Schmidt Transform. SHILAP Revista de lepidopterología. 10 indexed citations
19.
Liu, Jun, et al.. (2011). The Sampling Algorithm of the Detection Efficiency Calibration for the Measurement of Rectangular Waste Container. Hedianzixue yu tance jishu. 1 indexed citations
20.
Liu, Jun. (2004). Reparameterization in Surface Fitting. Journal of Engineering Graphics. 1 indexed citations

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.

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