Shuanghui Zhang

1.3k total citations
52 papers, 983 citations indexed

About

Shuanghui Zhang is a scholar working on Aerospace Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Shuanghui Zhang has authored 52 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Aerospace Engineering, 24 papers in Computational Mechanics and 17 papers in Biomedical Engineering. Recurrent topics in Shuanghui Zhang's work include Advanced SAR Imaging Techniques (40 papers), Sparse and Compressive Sensing Techniques (24 papers) and Microwave Imaging and Scattering Analysis (14 papers). Shuanghui Zhang is often cited by papers focused on Advanced SAR Imaging Techniques (40 papers), Sparse and Compressive Sensing Techniques (24 papers) and Microwave Imaging and Scattering Analysis (14 papers). Shuanghui Zhang collaborates with scholars based in China, Singapore and United Kingdom. Shuanghui Zhang's co-authors include Yongxiang Liu, Xiang Li, Chi Zhang, Guoan Bi, Xiang Li, Dewen Hu, Zhixiong Yang, Jingyuan Xia, Kai Huo and Denız Gündüz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Shuanghui Zhang

46 papers receiving 945 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuanghui Zhang China 17 695 403 371 143 132 52 983
Elisa Giusti Italy 20 1.2k 1.7× 478 1.2× 281 0.8× 113 0.8× 105 0.8× 106 1.4k
Jialian Sheng China 10 638 0.9× 357 0.9× 259 0.7× 101 0.7× 80 0.6× 33 773
Victor C. Chen United States 16 1.1k 1.6× 476 1.2× 127 0.3× 230 1.6× 146 1.1× 42 1.4k
Mingliang Tao China 24 1.4k 2.0× 359 0.9× 282 0.8× 221 1.5× 168 1.3× 101 1.7k
Zhaoda Zhu China 17 1.2k 1.7× 449 1.1× 139 0.4× 142 1.0× 121 0.9× 62 1.2k
Liu Guosui China 13 879 1.3× 326 0.8× 88 0.2× 154 1.1× 127 1.0× 41 1.1k
Jiadian Liang China 8 358 0.5× 167 0.4× 121 0.3× 54 0.4× 101 0.8× 13 544
Zengping Chen China 15 657 0.9× 205 0.5× 156 0.4× 195 1.4× 119 0.9× 160 888
Walter G. Carrara United States 6 1.7k 2.4× 686 1.7× 173 0.5× 141 1.0× 110 0.8× 6 1.8k

Countries citing papers authored by Shuanghui Zhang

Since Specialization
Citations

This map shows the geographic impact of Shuanghui Zhang'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 Shuanghui Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuanghui Zhang more than expected).

Fields of papers citing papers by Shuanghui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuanghui Zhang. 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 Shuanghui Zhang. The network helps show where Shuanghui Zhang may publish in the future.

Co-authorship network of co-authors of Shuanghui Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuanghui Zhang. A scholar is included among the top collaborators of Shuanghui Zhang 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 Shuanghui Zhang. Shuanghui Zhang 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.
Yang, Zhixiong, Jingyuan Xia, Shuanghui Zhang, et al.. (2025). A Learning-Aided Unsupervised Method for Sparse Aperture ISAR Imaging and Autofocusing. IEEE Transactions on Aerospace and Electronic Systems. 62. 350–367.
2.
Zhang, Shuanghui, et al.. (2025). Fast ISAR Imaging of Targets Featuring Micromotion With Sparse Aperture Based on Complex Deep Unfolding Networks. IEEE Transactions on Aerospace and Electronic Systems. 61(5). 11220–11233.
3.
Xia, Jingyuan, Zhixiong Yang, Shengxi Li, et al.. (2024). Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 8139–8156. 41 indexed citations
4.
Yang, Zhixiong, Jingyuan Xia, Shengxi Li, et al.. (2024). Meta-learning based blind image super-resolution approach to different degradations. Neural Networks. 178. 106429–106429. 2 indexed citations
5.
Su, Zhuo, Jiehua Zhang, Tianpeng Liu, et al.. (2024). Boosting Convolutional Neural Networks With Middle Spectrum Grouped Convolution. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3436–3449. 3 indexed citations
6.
Jiang, Xinhua, et al.. (2024). An Azimuth Aware Deep Reinforcement Learning Framework for Active SAR Target Recognition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 4936–4951. 8 indexed citations
7.
Zhang, Yifan, et al.. (2024). ASC-SMCNN: SAR target classification method guided by attribute scattering center and separability measures. IET conference proceedings.. 2023(47). 2296–2301.
8.
Zhang, Chi, Shuanghui Zhang, Yongxiang Liu, & Xiang Li. (2024). Fast Sparse Aperture ISAR Imaging for Maneuvering Target by CZT- and NCS-Based Approximated Observation Model. IEEE Geoscience and Remote Sensing Letters. 21. 1–5.
9.
Yang, Zhixiong, Jingyuan Xia, Junshan Luo, Shuanghui Zhang, & Denız Gündüz. (2022). A Learning-Aided Flexible Gradient Descent Approach to MISO Beamforming. IEEE Wireless Communications Letters. 11(9). 1895–1899. 16 indexed citations
10.
Zhang, Shuanghui, et al.. (2022). Sparse Aperture ISAR Imaging Method Based on Meta-CV-ADMMN. 546–551.
11.
Zhang, Shuanghui, et al.. (2021). A Multiple-Input Multiple-Output Inverse Synthetic Aperture Radar Imaging Method Based on Multidimensional Alternating Direction Method of Multipliers. SHILAP Revista de lepidopterología. 10. 1–16. 1 indexed citations
12.
Zhang, Shuanghui, et al.. (2021). Bistatic-ISAR cross-range scaling and distortion correction. 55–55. 2 indexed citations
13.
Zhang, Shuanghui, Yongxiang Liu, Xiang Li, & Dewen Hu. (2021). Enhancing ISAR Image Efficiently via Convolutional Reweighted l 1 Minimization. IEEE Transactions on Image Processing. 30. 4291–4304. 33 indexed citations
14.
Tao, Hong, Shuanghui Zhang, & Yongxiang Liu. (2020). MTRC Compensation for Sparse Aperture ISAR Imaging. 52–56. 3 indexed citations
15.
Zhang, Shuanghui, Yongxiang Liu, & Xiang Li. (2019). Fast Sparse Aperture ISAR Autofocusing and Imaging via ADMM Based Sparse Bayesian Learning. IEEE Transactions on Image Processing. 29. 3213–3226. 88 indexed citations
16.
Zhang, Shuanghui, et al.. (2018). ISAR Imaging with Micro-motion Components. 1–3. 1 indexed citations
17.
Zhang, Shuanghui, Yongxiang Liu, & Xiang Li. (2018). Bayesian Bistatic ISAR Imaging for Targets With Complex Motion Under Low SNR Condition. IEEE Transactions on Image Processing. 27(5). 2447–2460. 33 indexed citations
18.
Zhang, Shuanghui, Yongxiang Liu, & Xiang Li. (2015). Fast Entropy Minimization Based Autofocusing Technique for ISAR Imaging. IEEE Transactions on Signal Processing. 63(13). 3425–3434. 134 indexed citations
19.
Liu, Yongxiang, et al.. (2015). A Novel Speed Compensation Method for ISAR Imaging with Low SNR. Sensors. 15(8). 18402–18415. 11 indexed citations
20.
Zhang, Shuanghui, Yongxiang Liu, & Xiang Li. (2013). Minimum entropy based ISAR motion compensation with low SNR. 593–596. 6 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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