Guangyao Duan

468 total citations
27 papers, 372 citations indexed

About

Guangyao Duan is a scholar working on Atmospheric Science, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Guangyao Duan has authored 27 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 11 papers in Aerospace Engineering and 7 papers in Environmental Engineering. Recurrent topics in Guangyao Duan's work include Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Cryospheric studies and observations (8 papers) and Remote Sensing and Land Use (6 papers). Guangyao Duan is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Cryospheric studies and observations (8 papers) and Remote Sensing and Land Use (6 papers). Guangyao Duan collaborates with scholars based in China, Singapore and Germany. Guangyao Duan's co-authors include Huili Gong, Chaofan Zhou, Xiaojuan Li, Mingliang Gao, Beibei Chen, Min Shi, Zheng Chen, Beibei Chen, Kunchao Lei and Lin Guo and has published in prestigious journals such as Scientific Reports, Sensors and Remote Sensing.

In The Last Decade

Guangyao Duan

23 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangyao Duan China 8 272 158 130 128 75 27 372
Leyin Hu China 8 383 1.4× 135 0.9× 139 1.1× 141 1.1× 83 1.1× 25 481
M. T. Chiaradia Italy 10 316 1.2× 183 1.2× 103 0.8× 195 1.5× 71 0.9× 54 490
Hongan Wu China 12 286 1.1× 160 1.0× 111 0.9× 114 0.9× 70 0.9× 43 440
Hongguo Jia China 10 258 0.9× 134 0.8× 87 0.7× 126 1.0× 59 0.8× 23 323
Stefano Elefante Italy 9 381 1.4× 188 1.2× 111 0.9× 175 1.4× 59 0.8× 21 472
Hongyu Liang China 11 237 0.9× 157 1.0× 115 0.9× 104 0.8× 51 0.7× 27 372
Roghayeh Shamshiri Germany 6 291 1.1× 102 0.6× 152 1.2× 109 0.9× 93 1.2× 10 385
Simone Fiaschi Italy 11 173 0.6× 103 0.7× 64 0.5× 129 1.0× 54 0.7× 25 319
Michaela Frei Germany 9 234 0.9× 115 0.7× 88 0.7× 143 1.1× 65 0.9× 24 387
Yuedong Wang China 10 221 0.8× 92 0.6× 47 0.4× 145 1.1× 81 1.1× 22 426

Countries citing papers authored by Guangyao Duan

Since Specialization
Citations

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

Fields of papers citing papers by Guangyao Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyao Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyao Duan. A scholar is included among the top collaborators of Guangyao Duan 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 Guangyao Duan. Guangyao Duan 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.
Liao, Yi, Yanying Chen, Guangyao Duan, et al.. (2025). DTSFNet: A Lightweight Network Based on Dynamic Sampling and Scale Sequence Fusion for Aerial Image Object Detection. Journal of Circuits Systems and Computers. 34(13).
2.
Miao, H., et al.. (2025). Variational adversarial negative sampling for multimodal knowledge graph completion. Engineering Applications of Artificial Intelligence. 162. 112608–112608.
3.
Xu, Guowen, et al.. (2025). ViLNM: Visual-Language Noise Modeling for Text-to-Image Person Retrieval. IEEE Signal Processing Letters. 32. 1386–1390.
4.
Zhou, Zihui, et al.. (2024). Fine-Grained Information Supplementation and Value-Guided Learning for Remote Sensing Image-Text Retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 19194–19210. 1 indexed citations
5.
Yuan, Hsiang‐Yu, et al.. (2024). Manifold and patch-based unsupervised deep metric learning for fine-grained image retrieval. Applied Intelligence. 55(2).
6.
7.
Hu, Ying, Nengfang Chao, Jiangyuan Wang, et al.. (2023). Integrating GRACE/GRACE Follow-On and Wells Data to Detect Groundwater Storage Recovery at a Small-Scale in Beijing Using Deep Learning. Remote Sensing. 15(24). 5692–5692. 4 indexed citations
8.
Duan, Guangyao, Huili Gong, Beibei Chen, et al.. (2022). Spatiotemporal heterogeneity of land subsidence in Beijing. Scientific Reports. 12(1). 15120–15120. 7 indexed citations
9.
Duan, Guangyao, et al.. (2020). An Airborne LiDAR Building-Extraction Method Based on the Naive Bayes–RANSAC Method for Proportional Segmentation of Quantitative Features. Journal of the Indian Society of Remote Sensing. 49(2). 393–404. 14 indexed citations
10.
Chen, Beibei, Kunchao Lei, Wenfeng Chen, et al.. (2019). Characteristics of land subsidence along Beijing-Tianjin inter-city railway (Beijing section). Guotu ziyuan yaogan. 31(1). 171–179. 1 indexed citations
11.
Zhou, Chaofan, Huili Gong, Beibei Chen, et al.. (2019). Quantifying the contribution of multiple factors to land subsidence in the Beijing Plain, China with machine learning technology. Geomorphology. 335. 48–61. 66 indexed citations
12.
Chen, Zhao, et al.. (2018). Deformation Monitoring and Law of Beijing Metro Line 6 (Phase II). 1–5. 2 indexed citations
13.
Wang, Zhen, et al.. (2018). The Impact of The Building Load on Subsidence in Beijing. 29. 1–4. 2 indexed citations
14.
Duan, Guangyao, et al.. (2017). Establishment of an Improved Floor Area Ratio with High-Resolution Satellite Imagery. Journal of the Indian Society of Remote Sensing. 46(2). 275–286. 4 indexed citations
15.
Zhou, Chaofan, Huili Gong, Beibei Chen, et al.. (2016). Land subsidence under different land use in the eastern Beijing plain, China 2005-2013 revealed by InSAR timeseries analysis. GIScience & Remote Sensing. 53(6). 671–688. 33 indexed citations
16.
Duan, Guangyao, et al.. (2015). Investigation of Optimal Segmentation Color Space of Bayer True Color Images with Multi-Objective Optimization Methods. Journal of the Indian Society of Remote Sensing. 43(3). 487–499. 3 indexed citations
17.
Chen, Beibei, et al.. (2014). [Spatial-temporal evolution characterization of land subsidence by multi-temporal InSAR method and GIS technology].. PubMed. 34(4). 1017–25. 3 indexed citations
18.
Duan, Guangyao, et al.. (2014). Shadow extraction based on characteristic components and object-oriented method for high-resolution images. National Remote Sensing Bulletin. 18(4). 760–770. 7 indexed citations
19.
Chen, Beibei, Huili Gong, Xiaojuan Li, et al.. (2014). Spatial correlation between land subsidence and urbanization in Beijing, China. Natural Hazards. 75(3). 2637–2652. 55 indexed citations
20.
Hu, Zhuowei, et al.. (2011). Drought disaster risk assessment and mapping at different scales based on RS and GIS. 12. 1–6. 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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