Ling Wang

2.3k total citations
168 papers, 1.7k citations indexed

About

Ling Wang is a scholar working on Aerospace Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Ling Wang has authored 168 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Aerospace Engineering, 42 papers in Biomedical Engineering and 20 papers in Computational Mechanics. Recurrent topics in Ling Wang's work include Advanced SAR Imaging Techniques (81 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (43 papers) and Microwave Imaging and Scattering Analysis (37 papers). Ling Wang is often cited by papers focused on Advanced SAR Imaging Techniques (81 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (43 papers) and Microwave Imaging and Scattering Analysis (37 papers). Ling Wang collaborates with scholars based in China, United States and Germany. Ling Wang's co-authors include Birsen Yazıcı, Mingliang Tao, Jia Su, Zhaoda Zhu, Daiyin Zhu, Yu‐Sheng Yu, Daiyin Zhu, Changyu Hu, Can Evren Yarman and Yan Huang and has published in prestigious journals such as Acta Materialia, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Ling Wang

148 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Wang China 21 1.1k 532 311 219 141 168 1.7k
Yunhua Zhang China 22 1.2k 1.1× 383 0.7× 235 0.8× 428 2.0× 156 1.1× 257 1.9k
Heng Zhang China 25 948 0.9× 363 0.7× 54 0.2× 493 2.3× 154 1.1× 172 2.1k
Dharmendra Singh India 33 1.8k 1.7× 483 0.9× 70 0.2× 445 2.0× 392 2.8× 302 3.7k
Gang Xu China 27 1.2k 1.2× 593 1.1× 424 1.4× 349 1.6× 125 0.9× 184 2.6k
Junchao Zhang China 26 539 0.5× 617 1.2× 118 0.4× 305 1.4× 41 0.3× 195 2.3k
Takashi Kubota Japan 23 651 0.6× 340 0.6× 106 0.3× 94 0.4× 49 0.3× 206 1.8k
Jennifer L. Palmer Australia 21 423 0.4× 144 0.3× 333 1.1× 268 1.2× 51 0.4× 72 1.2k
Minami Yoda United States 26 254 0.2× 769 1.4× 608 2.0× 442 2.0× 190 1.3× 128 2.3k
Chen Wang China 23 643 0.6× 505 0.9× 106 0.3× 573 2.6× 159 1.1× 104 2.0k
Yongzhen Li China 19 1.2k 1.1× 194 0.4× 80 0.3× 219 1.0× 152 1.1× 190 1.5k

Countries citing papers authored by Ling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Wang. A scholar is included among the top collaborators of Ling 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 Ling Wang. Ling 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, Ling, et al.. (2025). A Composite Network for CS ISAR Integrating Deep Adaptive Sampling and Imaging. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 11599–11609.
2.
Wang, Ling, et al.. (2025). A Novel Enhanced Convolutional Dictionary Learning Method for CS ISAR Imaging. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
3.
Wang, Ling, et al.. (2024). Measurement of noncooperative spacecraft components using multistatic spaceborne radar and optical images. Digital Signal Processing. 146. 104389–104389. 3 indexed citations
4.
Wang, Ling, et al.. (2024). Three-Dimensional High-Resolution Space-Borne ISAR Imaging With Compact Antenna Configuration for Large Rotational Angle. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 7422–7435. 3 indexed citations
5.
Wang, Ling, et al.. (2024). Optimal Space-Borne ISAR Imaging of Space Objects with Co-Maximization of Doppler Spread and Spacecraft Component Area. Remote Sensing. 16(6). 1037–1037. 4 indexed citations
6.
He, Yan, Xing Xu, Yang Zhou, et al.. (2023). A New Method of Video SAR Ground Moving Target Detection and Tracking Based on the Interframe Amplitude Temporal Curve. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 6 indexed citations
7.
He, Yan, Xing Xu, Guodong Jin, et al.. (2022). Moving Targets Detection for Video SAR Surveillance Using Multilevel Attention Network Based on Shallow Feature Module. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 12 indexed citations
8.
Hu, Changyu, Ling Wang, Daiyin Zhu, Gong Zhang, & Otmar Loffeld. (2021). FCNN-Based ISAR Sparse Imaging Exploiting Gate Units and Transfer Learning. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations
9.
Hu, Changyu, Ling Wang, Daiyin Zhu, & Otmar Loffeld. (2021). Inverse Synthetic Aperture Radar Sparse Imaging Exploiting the Group Dictionary Learning. Remote Sensing. 13(14). 2812–2812. 7 indexed citations
10.
Wang, Ling, et al.. (2021). Semisupervised Classification of PolSAR Images Using a Novel Memory Convolutional Neural Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 5 indexed citations
11.
Li, Ning, et al.. (2021). Optimal Time Selection for ISAR Imaging of Ship Targets Based on Time-Frequency Analysis of Multiple Scatterers. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 15 indexed citations
12.
Wang, Ling, et al.. (2020). Multi-Beam Index Modulation With Cooperative Legitimate Users Schemes Based on Frequency Diverse Array. IEEE Transactions on Vehicular Technology. 69(10). 11028–11041. 26 indexed citations
13.
Hu, Changyu, et al.. (2019). Inverse Synthetic Aperture Radar Imaging Using a Fully Convolutional Neural Network. IEEE Geoscience and Remote Sensing Letters. 17(7). 1203–1207. 68 indexed citations
14.
Yazıcı, Birsen & Ling Wang. (2019). Analysis of Artifacts in SAR Imagery Due to Fluctuation in Refractive Index. IEEE Transactions on Computational Imaging. 5(3). 450–464. 1 indexed citations
15.
Wang, Ling, et al.. (2019). Subspace Learning Network: An Efficient ConvNet for PolSAR Image Classification. IEEE Geoscience and Remote Sensing Letters. 16(12). 1849–1853. 2 indexed citations
16.
Dai, Dejian, Ling Wang, Yang Wang, et al.. (2019). Reversible/Irreversible Photobleaching of Fluorescent Surface Defects of SiC Quantum Dots: Mechanism and Sensing of Solar UV Irradiation. Advanced Materials Interfaces. 6(11). 7 indexed citations
17.
Min, Min, Chao Liu, Jianping Guo, et al.. (2017). An investigation of the implications of lunar illumination spectral changes for Day/Night Band‐based cloud property retrieval due to lunar phase transition. Journal of Geophysical Research Atmospheres. 122(17). 9233–9244. 19 indexed citations
18.
Wang, Ling, et al.. (2017). Business travel service specialization: a review of business travel management overseas.. Luyou xuekan. 32(3). 117–126. 4 indexed citations
19.
Wang, Ling & Birsen Yazıcı. (2012). Synthetic aperture radar imaging of moving targets using ultra-narrowband continuous waveforms. 324–327. 5 indexed citations
20.
Chang, Chunyan, et al.. (2012). Land use classification based on RS object-oriented method in coastal spectral confusion region. Nongye gongcheng xuebao. 2012(5). 4 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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