Mou Wang

1.8k total citations · 1 hit paper
58 papers, 1.3k citations indexed

About

Mou Wang is a scholar working on Aerospace Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Mou Wang has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Aerospace Engineering, 21 papers in Biomedical Engineering and 17 papers in Computational Mechanics. Recurrent topics in Mou Wang's work include Advanced SAR Imaging Techniques (29 papers), Microwave Imaging and Scattering Analysis (17 papers) and Sparse and Compressive Sensing Techniques (16 papers). Mou Wang is often cited by papers focused on Advanced SAR Imaging Techniques (29 papers), Microwave Imaging and Scattering Analysis (17 papers) and Sparse and Compressive Sensing Techniques (16 papers). Mou Wang collaborates with scholars based in China, Singapore and Hong Kong. Mou Wang's co-authors include Shunjun Wei, Qizhe Qu, Jun Shi, Xiangfeng Zeng, Hao Su, Junren Shi, Xiaoling Zhang, Jiadian Liang, Zichen Zhou and Yue Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Mou Wang

51 papers receiving 1.2k citations

Hit Papers

HRSID: A High-Resolution SAR Images Dataset for Ship Dete... 2020 2026 2022 2024 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation
    2020 562 citations Shunjun Wei, Xiangfeng Zeng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mou Wang China 15 905 383 302 194 185 58 1.3k
Jifang Pei China 19 1.1k 1.2× 243 0.6× 171 0.6× 179 0.9× 169 0.9× 120 1.4k
Chibiao Ding China 21 1.4k 1.5× 286 0.7× 456 1.5× 87 0.4× 119 0.6× 161 1.8k
Mingliang Tao China 24 1.4k 1.6× 168 0.4× 359 1.2× 282 1.5× 179 1.0× 101 1.7k
Xiangfeng Zeng China 13 676 0.7× 424 1.1× 100 0.3× 84 0.4× 202 1.1× 28 1.0k
Xiaolan Qiu China 21 1.5k 1.7× 250 0.7× 401 1.3× 85 0.4× 84 0.5× 184 1.8k
Elisa Giusti Italy 20 1.2k 1.3× 105 0.3× 478 1.6× 281 1.4× 72 0.4× 106 1.4k
Zegang Ding China 21 1.2k 1.3× 132 0.3× 450 1.5× 99 0.5× 66 0.4× 181 1.4k
Jianlai Chen China 22 1.1k 1.2× 224 0.6× 478 1.6× 99 0.5× 33 0.2× 69 1.4k
Weibo Huo China 15 619 0.7× 134 0.3× 101 0.3× 98 0.5× 104 0.6× 80 795
Giancarlo Rufino Italy 20 1.2k 1.3× 191 0.5× 52 0.2× 192 1.0× 109 0.6× 76 1.5k

Countries citing papers authored by Mou Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mou Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mou Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mou Wang. A scholar is included among the top collaborators of Mou Wang 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 Mou Wang. Mou Wang 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.
Wang, Mou, Shunjun Wei, Rong Shen, et al.. (2025). Unsupervised 3D SAR Imaging Network Based on Generative Adversary Learning. IEEE Transactions on Antennas and Propagation. 73(7). 4621–4636.
2.
Wang, Mou, et al.. (2025). SA-ISAR Imaging via Detail Enhancement Operator and Adaptive Threshold Sensing. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 1 indexed citations
3.
Wei, Shunjun, et al.. (2024). Non-Line-of-Sight Sparse Aperture ISAR Imaging via a Novel Detail-Aware Regularization. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 4 indexed citations
4.
5.
Wang, Mou, Shunjun Wei, Junren Shi, et al.. (2024). Synthetic Aperture Radar Imaging Meets Deep Unfolded Learning: A comprehensive review. IEEE Geoscience and Remote Sensing Magazine. 13(1). 79–120. 2 indexed citations
6.
Shen, Rong, et al.. (2024). Deep SAR Tomography: A Model-Inspired Approach With Learned Sparse Regularizer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18870–18881. 1 indexed citations
7.
Wang, Yaping, Tianjiao Zeng, Xu Zhan, et al.. (2024). High-Quality Short-Range Radar Imaging with Coprime Sampling. Remote Sensing. 16(24). 4657–4657.
8.
Wei, Shunjun, et al.. (2024). IAM-ACGAN: A High-Accuracy Approach for SAR Image Augmentation. 9782–9785. 2 indexed citations
9.
10.
Zhou, Zichen, Shunjun Wei, Hao Zhang, et al.. (2022). SAF-3DNet: Unsupervised AMP-Inspired Network for 3-D MMW SAR Imaging and Autofocusing. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 15 indexed citations
11.
Wei, Shunjun, Zichen Zhou, Mou Wang, et al.. (2022). Learning-Based Split Unfolding Framework for 3-D mmW Radar Sparse Imaging. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 13 indexed citations
12.
Wei, Shunjun, et al.. (2021). Non-Line-Of-Sight Imaging by Millimeter Wave Radar. 2983–2986. 9 indexed citations
13.
Wei, Shunjun, Zichen Zhou, Mou Wang, et al.. (2021). 3DRIED: A High-Resolution 3-D Millimeter-Wave Radar Dataset Dedicated to Imaging and Evaluation. Remote Sensing. 13(17). 3366–3366. 48 indexed citations
14.
Wang, Mou, Shunjun Wei, Jiadian Liang, et al.. (2021). RMIST-Net: Joint Range Migration and Sparse Reconstruction Network for 3-D mmW Imaging. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 57 indexed citations
15.
Wei, Shunjun, Jiadian Liang, Mou Wang, et al.. (2020). CIST: An Improved ISAR Imaging Method Using Convolution Neural Network. Remote Sensing. 12(16). 2641–2641. 34 indexed citations
16.
Qu, Qizhe, Shunjun Wei, Yue Wu, & Mou Wang. (2020). ACSE Networks and Autocorrelation Features for PRI Modulation Recognition. IEEE Communications Letters. 24(8). 1729–1733. 24 indexed citations
17.
18.
Chao, Qingchen, et al.. (2016). Paris Agreement: A New Start for Global Governance on Climate. Advances in Climate Change Research. 12(1). 61. 5 indexed citations
19.
Pan, Jiahua, Mou Wang, Yongxiang Zhang, Zhe Liu, & Xiaodan Wu. (2016). Road to Paris: The Changed and Unchanged in International Responsibility System. Chinese Journal of Urban and Environmental Studies. 4(1). 1650006–1650006. 1 indexed citations
20.
Wang, Mou. (2005). A Discussion on Several Problems Regarding to the Cenozoic Grabens in the Qinghai-Tibet Plateau. Dizhi lunping. 2 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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