Peng Shen

1.3k total citations
88 papers, 987 citations indexed

About

Peng Shen is a scholar working on Aerospace Engineering, Geophysics and Ocean Engineering. According to data from OpenAlex, Peng Shen has authored 88 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Aerospace Engineering, 19 papers in Geophysics and 17 papers in Ocean Engineering. Recurrent topics in Peng Shen's work include Synthetic Aperture Radar (SAR) Applications and Techniques (27 papers), Seismic Imaging and Inversion Techniques (19 papers) and Advanced SAR Imaging Techniques (16 papers). Peng Shen is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (27 papers), Seismic Imaging and Inversion Techniques (19 papers) and Advanced SAR Imaging Techniques (16 papers). Peng Shen collaborates with scholars based in China, United States and Netherlands. Peng Shen's co-authors include William W. Symes, Changcheng Wang, Christiaan C. Stolk, Jianjun Zhu, Uwe Albertin, Henri Calandra, Haiqiang Fu, Robert D. van der Hilst, Maarten V. de Hoop and Jun Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Peng Shen

82 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Shen China 16 510 330 289 190 103 88 987
Mehmet Çelebi United States 25 844 1.7× 255 0.8× 94 0.3× 93 0.5× 172 1.7× 119 2.1k
Paresh Nath Singha Roy India 18 462 0.9× 109 0.3× 159 0.6× 62 0.3× 33 0.3× 63 1.1k
Haibin Chang China 19 171 0.3× 509 1.5× 406 1.4× 40 0.2× 328 3.2× 45 1.1k
Guoqiang Xue China 23 1.3k 2.6× 1.1k 3.2× 197 0.7× 30 0.2× 61 0.6× 121 1.7k
Omar Marcillo United States 14 400 0.8× 157 0.5× 58 0.2× 46 0.2× 39 0.4× 38 1.3k
Pin Wu China 18 104 0.2× 137 0.4× 97 0.3× 352 1.9× 46 0.4× 76 995
Bo Xiong China 23 347 0.7× 96 0.3× 89 0.3× 237 1.2× 27 0.3× 72 1.2k
Yuxing Zhao China 9 285 0.6× 141 0.4× 35 0.1× 106 0.6× 40 0.4× 28 769
Brice Vallès New Zealand 13 216 0.4× 778 2.4× 549 1.9× 35 0.2× 223 2.2× 30 1.2k

Countries citing papers authored by Peng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Peng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Shen. A scholar is included among the top collaborators of Peng Shen 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 Peng Shen. Peng Shen 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, Qingsong, et al.. (2025). Multi-source data joint processing framework for DEM calibration and fusion. International Journal of Applied Earth Observation and Geoinformation. 139. 104484–104484. 1 indexed citations
2.
Wan, Jie, et al.. (2025). An Improved Sparse Bayesian Learning SAR Tomography Method and its Application for Forest Vertical Structure Inversion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 13701–13718.
3.
Shen, Peng, et al.. (2024). InSAR-based estimation of forest above-ground biomass using phase histogram technique. International Journal of Applied Earth Observation and Geoinformation. 136. 104350–104350. 1 indexed citations
4.
5.
Wu, Tingting, et al.. (2023). Seedscreener: A novel integrated wheat germplasm phenotyping platform based on NIR-feature detection and 3D-reconstruction. Computers and Electronics in Agriculture. 215. 108378–108378. 3 indexed citations
6.
Wang, Ziqi, et al.. (2023). A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems. Complex & Intelligent Systems. 10(1). 655–675. 6 indexed citations
7.
Hu, Jun, et al.. (2023). Improved ESPO Method Based on Spatial Variation of Scattering Mechanisms for MT-PolInSAR. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 1 indexed citations
8.
Shen, Peng, Changcheng Wang, & Jun Hu. (2022). A Polarization Stacking Method for Optimizing Time-Series Interferometric Phases of Distributed Scatterers. Remote Sensing. 14(17). 4168–4168. 9 indexed citations
9.
Wang, Changcheng, et al.. (2022). Evaluation of Multilooking Size on Single-Baseline PolInSAR Forest Height Inversion. Forests. 13(7). 1031–1031. 1 indexed citations
10.
Shen, Peng, et al.. (2022). PS-ESD: Persistent Scatterer-Based Enhanced Spectral Diversity Approach for Time-Series Sentinel-1 TOPS Data Co-Registration. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 2 indexed citations
11.
Wan, Jie, Changcheng Wang, Peng Shen, Haiqiang Fu, & Jianjun Zhu. (2021). Robust and Fast Super-Resolution SAR Tomography of Forests Based on Covariance Vector Sparse Bayesian Learning. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 6 indexed citations
12.
Wang, Changcheng, et al.. (2021). A Novel Iterative Reweighted Method for Forest Height Inversion Using Multibaseline PolInSAR Data. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 5 indexed citations
13.
Wan, Jie, Changcheng Wang, Peng Shen, et al.. (2021). Forest Height and Underlying Topography Inversion Using Polarimetric SAR Tomography Based on SKP Decomposition and Maximum Likelihood Estimation. Forests. 12(4). 444–444. 3 indexed citations
14.
Shen, Peng, Changcheng Wang, Haiqiang Fu, Jianjun Zhu, & Jun Hu. (2020). Estimation of Equivalent Number of Looks in Time-Series Pol(In)SAR Data. Remote Sensing. 12(17). 2715–2715. 9 indexed citations
15.
Wang, Changcheng, et al.. (2020). Polarimetric Stationarity Omnibus Test (PSOT) for Selecting Persistent Scatterer Candidates with Quad-Polarimetric SAR Datasets. Sensors. 20(6). 1555–1555. 5 indexed citations
16.
Wang, Changcheng, Peng Shen, Xiaofeng Li, Jianjun Zhu, & Zhiwei Li. (2019). A Novel Vessel Velocity Estimation Method Using Dual-Platform TerraSAR-X and TanDEM-X Full Polarimetric SAR Data in Pursuit Monostatic Mode. IEEE Transactions on Geoscience and Remote Sensing. 57(8). 6130–6144. 8 indexed citations
17.
Wang, Changcheng, et al.. (2019). Forest Height Estimation Using PolInSAR Optimal Normal Matrix Constraint and Cross-Iteration Method. IEEE Geoscience and Remote Sensing Letters. 16(8). 1245–1249. 14 indexed citations
18.
Wang, Changcheng, et al.. (2018). Forest Above-Ground Biomass Estimation Using Single-Baseline Polarization Coherence Tomography with P-Band PolInSAR Data. Forests. 9(4). 163–163. 19 indexed citations
19.
Shen, Peng, et al.. (2017). Vegetation Height Inversion Method with Three-layer Model by Fusing the Ascending and Descending PolInSAR Data. SHILAP Revista de lepidopterología. 6 indexed citations
20.
Shen, Peng, et al.. (2003). Relationship between protein content and the cooking and eating quality properties of rice grain. Dongbei Nongye Daxue xuebao. 34(4). 378–381. 9 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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