Daqing Ge

1.4k total citations · 1 hit paper
85 papers, 1.0k citations indexed

About

Daqing Ge is a scholar working on Aerospace Engineering, Atmospheric Science and Management, Monitoring, Policy and Law. According to data from OpenAlex, Daqing Ge has authored 85 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Aerospace Engineering, 43 papers in Atmospheric Science and 31 papers in Management, Monitoring, Policy and Law. Recurrent topics in Daqing Ge's work include Synthetic Aperture Radar (SAR) Applications and Techniques (49 papers), Cryospheric studies and observations (37 papers) and Landslides and related hazards (31 papers). Daqing Ge is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (49 papers), Cryospheric studies and observations (37 papers) and Landslides and related hazards (31 papers). Daqing Ge collaborates with scholars based in China, United States and Australia. Daqing Ge's co-authors include Weile Li, Junchuan Yu, Robert Wang, Yingjie Wang, Keren Dai, Yan Wang, Qiang Xu, Ling Zhang, Wei Xiang and Teng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Daqing Ge

75 papers receiving 981 citations

Hit Papers

Remote sensing for landslide investigations: A progress r... 2023 2026 2024 2025 2023 40 80 120
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. Remote sensing for landslide investigations: A progress report from China
    2023 123 citations Keren Dai, Daqing Ge 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
Daqing Ge China 17 593 511 409 184 166 85 1.0k
Wu Zhu China 22 680 1.1× 728 1.4× 550 1.3× 194 1.1× 136 0.8× 94 1.4k
Xuguo Shi China 20 783 1.3× 702 1.4× 634 1.6× 89 0.5× 86 0.5× 61 1.1k
Yixian Tang China 19 305 0.5× 635 1.2× 512 1.3× 249 1.4× 146 0.9× 102 1.1k
Mi Jiang China 21 343 0.6× 936 1.8× 396 1.0× 363 2.0× 207 1.2× 63 1.3k
Luca Tanteri Italy 12 724 1.2× 298 0.6× 359 0.9× 233 1.3× 80 0.5× 17 1.0k
Yngvar Larsen Norway 22 522 0.9× 652 1.3× 649 1.6× 192 1.0× 190 1.1× 59 1.5k
Julien Travelletti France 11 584 1.0× 219 0.4× 209 0.5× 432 2.3× 175 1.1× 14 1.1k
Federico Minati Italy 15 388 0.7× 753 1.5× 329 0.8× 240 1.3× 175 1.1× 49 933
Raffaele Nutricato Italy 14 353 0.6× 598 1.2× 353 0.9× 235 1.3× 115 0.7× 81 909
Fabio Bovenga Italy 18 910 1.5× 1.2k 2.3× 807 2.0× 353 1.9× 177 1.1× 102 1.7k

Countries citing papers authored by Daqing Ge

Since Specialization
Citations

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

Fields of papers citing papers by Daqing Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daqing Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Daqing Ge. A scholar is included among the top collaborators of Daqing Ge 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 Daqing Ge. Daqing Ge 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.
He, Jianxing, Yuexing Peng, Wei Li, et al.. (2025). MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network for Relic Landslide Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.
2.
Liu, Chen, et al.. (2025). Hybrid-Field-Aware Two-Stage Beamforming Scheme for XL-MIMO Systems. IEEE Internet of Things Journal. 12(13). 24119–24130. 2 indexed citations
3.
Xiao, Pengfeng, Xueliang Zhang, Daqing Ge, et al.. (2025). Increased vulnerability of Arctic potential ice roads under climate change. Communications Earth & Environment. 6(1). 2 indexed citations
4.
Yu, Junchuan, et al.. (2024). SAM-CFFNet: SAM-Based Cross-Feature Fusion Network for Intelligent Identification of Landslides. Remote Sensing. 16(13). 2334–2334. 10 indexed citations
5.
Wu, Qiong, et al.. (2024). Active Deformation Areas of Potential Landslide Mapping with a Generalized Convolutional Neural Network. Remote Sensing. 16(6). 1090–1090. 4 indexed citations
6.
Dong, Jie, et al.. (2023). Tri-decadal evolution of land subsidence in the Beijing Plain revealed by multi-epoch satellite InSAR observations. Remote Sensing of Environment. 286. 113446–113446. 36 indexed citations
7.
Ge, Daqing, et al.. (2023). Mapping and Analyses of Land Subsidence in Hengshui, China, Based on InSAR Observations. Land. 12(9). 1684–1684. 1 indexed citations
8.
Peng, Yuexing, et al.. (2023). Feature-Fusion Segmentation Network for Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 40 indexed citations
9.
Wu, Qiong, et al.. (2022). Deep learning identification technology of InSAR significant deformation zone of potential landslide hazard at large scale. SHILAP Revista de lepidopterología. 3 indexed citations
10.
Wang, Ying, Yuexing Peng, Wei Li, et al.. (2022). DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 88 indexed citations
11.
Wang, Robert, Weidong Yu, Qingchao Zhao, et al.. (2021). See-Earth: SAR Constellation with Dense Time-SEries for Multi-dimensional Environmental Monitoring of the Earth. SHILAP Revista de lepidopterología. 4 indexed citations
12.
13.
Zhang, Xiaobo, Xuesheng Zhao, Daqing Ge, et al.. (2018). Subsidence monitoring of Huainan coal mine from Sentinel TOPS images based on Stacking technique. Guotu ziyuan yaogan. 30(4). 200–205. 3 indexed citations
14.
Li, Man, et al.. (2017). PIF method for relative radiometric correction of remote sensing images. Guotu ziyuan yaogan. 29(1). 7–13. 2 indexed citations
15.
Zhang, Ling, et al.. (2014). Integration of Forstner and NCC constraint for UAV image registration. Guotu ziyuan yaogan. 27(1). 48–54. 1 indexed citations
16.
Ge, Daqing, et al.. (2014). Summary of remote sensing methods for monitoring soil moisture. Guotu ziyuan yaogan. 26(2). 19–26. 1 indexed citations
17.
Xia, Ye, et al.. (2013). Automatic registration method for remote sensing images based on improved ORB algorithm. Guotu ziyuan yaogan. 25(3). 20–24. 4 indexed citations
18.
Ge, Daqing, et al.. (2011). AERIAL REMOTE SENSING INVESTIGATION FOR GREAT WALL IN NING XIA. Guotu ziyuan yaogan. 6(3). 7–17.
19.
Ge, Daqing, et al.. (2010). Using Permanent Scatterer InSAR to Monitor Land Subsidence Along High Speed Railway- The First Experiment in China. ESA Special Publication. 677. 75. 13 indexed citations
20.
Ge, Daqing, et al.. (2007). Surface Deformation Monitoring with Multi-Baseline D-InSAR Based on Coherent Point Target. National Remote Sensing Bulletin. 0(4). 574–580. 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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