Guangcai Feng

3.6k total citations
111 papers, 2.9k citations indexed

About

Guangcai Feng is a scholar working on Aerospace Engineering, Geophysics and Atmospheric Science. According to data from OpenAlex, Guangcai Feng has authored 111 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Aerospace Engineering, 42 papers in Geophysics and 25 papers in Atmospheric Science. Recurrent topics in Guangcai Feng's work include Synthetic Aperture Radar (SAR) Applications and Techniques (61 papers), earthquake and tectonic studies (41 papers) and Earthquake Detection and Analysis (24 papers). Guangcai Feng is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (61 papers), earthquake and tectonic studies (41 papers) and Earthquake Detection and Analysis (24 papers). Guangcai Feng collaborates with scholars based in China, United States and Hong Kong. Guangcai Feng's co-authors include Zhiwei Li, Jun Hu, Jianjun Zhu, Xiaoli Ding, Lei Zhang, Qijie Wang, Yanan Du, Wenbin Xu, Bing Xu and Zhong Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Guangcai Feng

105 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangcai Feng China 32 1.8k 900 843 817 525 111 2.9k
M. Manzo Italy 30 2.4k 1.3× 1.0k 1.1× 1.1k 1.3× 1.1k 1.4× 534 1.0× 89 3.4k
Enrique Cabral‐Cano Mexico 25 1.6k 0.9× 681 0.8× 1.1k 1.3× 727 0.9× 498 0.9× 92 3.1k
Salvatore Stramondo Italy 31 1.2k 0.7× 706 0.8× 1.5k 1.8× 665 0.8× 441 0.8× 145 3.1k
David Bekaert United States 24 1.7k 1.0× 882 1.0× 750 0.9× 793 1.0× 322 0.6× 70 3.0k
Alessio Rucci Italy 19 2.0k 1.1× 921 1.0× 241 0.3× 953 1.2× 517 1.0× 44 2.5k
Michele Manunta Italy 34 3.1k 1.7× 1.3k 1.4× 644 0.8× 1.5k 1.8× 746 1.4× 126 3.9k
Pablo J. González Spain 31 1.2k 0.7× 597 0.7× 1.8k 2.1× 612 0.7× 330 0.6× 114 3.1k
Daniel Raucoules France 28 1.2k 0.7× 691 0.8× 368 0.4× 735 0.9× 357 0.7× 81 2.2k
Francesco Casu Italy 37 3.0k 1.7× 1.4k 1.6× 1.4k 1.7× 1.5k 1.9× 643 1.2× 135 4.5k
Bert Kampes Germany 13 2.7k 1.5× 1.1k 1.2× 402 0.5× 936 1.1× 576 1.1× 34 3.0k

Countries citing papers authored by Guangcai Feng

Since Specialization
Citations

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

Fields of papers citing papers by Guangcai Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangcai Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Guangcai Feng. A scholar is included among the top collaborators of Guangcai Feng 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 Guangcai Feng. Guangcai Feng 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.
Tan, Lihai, Bao Yang, Tao Che, et al.. (2024). Site selection of desert solar farms based on heterogeneous sand flux. npj Climate and Atmospheric Science. 7(1). 3 indexed citations
3.
He, Lijia, Guangcai Feng, Jun Hu, et al.. (2022). Surface Displacement and Source Model Separation of the Two Strongest Earthquakes During the 2019 Ridgecrest Sequence: Insights From InSAR, GPS, and Optical Data. Journal of Geophysical Research Solid Earth. 127(2). 14 indexed citations
4.
He, Lijia, Guangcai Feng, Wenbin Xu, et al.. (2021). Coseismic and Early Postseismic Slip Models of the 2021 Mw 7.4 Maduo Earthquake (Western China) Estimated by Space‐Based Geodetic Data. Geophysical Research Letters. 48(24). 50 indexed citations
5.
Liao, Mingsheng, et al.. (2021). An Improved Quadtree Sampling Method for InSAR Seismic Deformation Inversion. Remote Sensing. 13(9). 1678–1678. 19 indexed citations
6.
Feng, Guangcai, et al.. (2020). Surface deformation evolution in the Pearl River Delta between 2006 and 2011 derived from the ALOS1/PALSAR images. Earth Planets and Space. 72(1). 12 indexed citations
7.
Du, Yanan, Guangcai Feng, Lin Liu, et al.. (2020). Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data. Remote Sensing. 12(2). 299–299. 35 indexed citations
8.
Xu, Bing, et al.. (2020). Kinematic Coregistration of Sentinel-1 TOPSAR Images Based on Sequential Least Squares Adjustment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3083–3093. 17 indexed citations
9.
He, Lijia, et al.. (2019). Source parameters and slip distribution of the 2018 M 7.5 Palu, Indonesia earthquake estimated from space-based geodesy. Tectonophysics. 772. 228216–228216. 27 indexed citations
10.
11.
Feng, Guangcai, Huang Chen, Wenbin Xu, et al.. (2019). A Block Ramp Errors Correction Method of Planet Subpixel Offset: Application to the 2018 Mw 7.5 Palu Earthquake, Indonesia. IEEE Access. 7. 174924–174931. 6 indexed citations
12.
Wang, Huiqiang, Jianjun Zhu, Haiqiang Fu, Guangcai Feng, & Changcheng Wang. (2018). Modeling and Robust Estimation for the Residual Motion Error in Airborne SAR Interferometry. IEEE Geoscience and Remote Sensing Letters. 16(1). 65–69. 15 indexed citations
13.
Yang, Zefa, Zhiwei Li, Jianjun Zhu, et al.. (2018). Time-Series 3-D Mining-Induced Large Displacement Modeling and Robust Estimation From a Single-Geometry SAR Amplitude Data Set. IEEE Transactions on Geoscience and Remote Sensing. 56(6). 3600–3610. 19 indexed citations
14.
Mallick, Rishav, Eric O. Lindsey, Guangcai Feng, et al.. (2018). Large Shallow Slip Along the Palu-Koro Fault Associated with Supershear Rupture. AGUFM. 2018. 1 indexed citations
15.
16.
Du, Yanan, Guangcai Feng, Zhiwei Li, et al.. (2018). A Method for Surface Water Body Detection and DEM Generation With Multigeometry TanDEM-X Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(1). 151–161. 9 indexed citations
17.
Xu, Wenbin, Guangcai Feng, Lingsen Meng, et al.. (2018). Transpressional Rupture Cascade of the 2016 Mw 7.8 Kaikoura Earthquake, New Zealand. Journal of Geophysical Research Solid Earth. 123(3). 2396–2409. 87 indexed citations
18.
Feng, Guangcai, et al.. (2015). High Quality Targets Selection in SBAS-InSAR Technique by Considering Temporal and Spatial Characteristic. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Wang, Teng, et al.. (2014). Coseismic surface displacements from optical and SAR image offset tracking, fault modeling and geomorphological analysis of the Sept. 24th, 2013 M7.7 Balochistan earthquake. EGU General Assembly Conference Abstracts. 11887. 1 indexed citations
20.
Akoğlu, Ahmet M., Sigurjón Jónsson, Ziyadin Çakır, et al.. (2012). The Surface Deformation and Source Parameters of the October 23rd, 2011, Mw 7.1 Van (Turkey) Earthquake from InSAR, GPS and Field Observations. EGU General Assembly Conference Abstracts. 12139. 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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