Dongdong Guan

933 total citations
40 papers, 712 citations indexed

About

Dongdong Guan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Dongdong Guan has authored 40 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Media Technology, 21 papers in Computer Vision and Pattern Recognition and 9 papers in Aerospace Engineering. Recurrent topics in Dongdong Guan's work include Remote-Sensing Image Classification (19 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image and Signal Denoising Methods (7 papers). Dongdong Guan is often cited by papers focused on Remote-Sensing Image Classification (19 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image and Signal Denoising Methods (7 papers). Dongdong Guan collaborates with scholars based in China and United States. Dongdong Guan's co-authors include Gangyao Kuang, Yuli Sun, Lin Lei, Deliang Xiang, Xiaoan Tang, Tao Tang, Junzheng Wu, Ming Li, Li Liu and Xiao Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Dongdong Guan

37 papers receiving 704 citations

Peers

Dongdong Guan

CVPR

Heng-Chao Li China

Yaoguo Zheng China

Sergio Bernabé Spain

Xiaorun Li China

Yuanchao Su China

Roel Heremans Belgium

Bobo Xi China

Jürgen Hahn Germany

Shaoyu Wang China

Ganchao Liu China

Heng-Chao Li China

Dongdong Guan

502 ×1.1

192 ×0.8

CVPR

250 ×1.3

192 ×1.2

99 ×1.0

Citations per year, relative to Dongdong Guan Dongdong Guan (= 1×) peers Heng-Chao Li

Countries citing papers authored by Dongdong Guan

Since Specialization

Citations

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

Fields of papers citing papers by Dongdong Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongdong Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Dongdong Guan. A scholar is included among the top collaborators of Dongdong Guan 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 Dongdong Guan. Dongdong Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xiang, Deliang, et al.. (2025). Oil Spill Detection in PolSAR Imagery Using Composite Scattering Power Entropy and Multiscale Hybrid Feature Fusion Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 13388–13407. 3 indexed citations

Guan, Dongdong, et al.. (2025). Global Optical and SAR Image Registration Method Based on Local Distortion Division. Remote Sensing. 17(9). 1642–1642.

Cheng, Jianda, et al.. (2024). PolSAR Image Registration Using Orientated Gradients of Polarimetric Features. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 1 indexed citations

Sun, Yuli, et al.. (2024). Locality Preservation for Unsupervised Multimodal Change Detection in Remote Sensing Imagery. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6955–6969. 17 indexed citations

Zheng, Xiaolong, et al.. (2023). A Novel Edge Detection Method for Multi-Temporal PolSAR Images Based on the SIRV Model and a SDAN-Based 3D Gaussian-like Kernel. Remote Sensing. 15(10). 2685–2685.

Zheng, Xiaolong, et al.. (2023). Global and Local Graph-Based Difference Image Enhancement for Change Detection. Remote Sensing. 15(5). 1194–1194. 4 indexed citations

Guan, Dongdong, et al.. (2023). SD-CapsNet: A Siamese Dense Capsule Network for SAR Image Registration with Complex Scenes. Remote Sensing. 15(7). 1871–1871. 5 indexed citations

Han, Ling, Dongsheng Liu, & Dongdong Guan. (2022). Ship detection in SAR images by saliency analysis of multiscale superpixels. Remote Sensing Letters. 13(7). 708–715. 5 indexed citations

Cheng, Jianda, et al.. (2022). Inshore Ship Detection in Large-Scale SAR Images Based on Saliency Enhancement and Bhattacharyya-like Distance. Remote Sensing. 14(12). 2832–2832. 11 indexed citations

10.

Sun, Yuli, Lin Lei, Xiang Tan, et al.. (2022). Structured graph based image regression for unsupervised multimodal change detection. ISPRS Journal of Photogrammetry and Remote Sensing. 185. 16–31. 60 indexed citations

11.

Sun, Yuli, Lin Lei, Dongdong Guan, & Gangyao Kuang. (2021). Iterative Robust Graph for Unsupervised Change Detection of Heterogeneous Remote Sensing Images. IEEE Transactions on Image Processing. 30. 6277–6291. 126 indexed citations

12.

Sun, Yuli, Lin Lei, Dongdong Guan, Ming Li, & Gangyao Kuang. (2021). Sparse-Constrained Adaptive Structure Consistency-Based Unsupervised Image Regression for Heterogeneous Remote-Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 70 indexed citations

13.

Xiang, Deliang, Fan Zhang, Wei Zhang, et al.. (2020). Fast Pixel-Superpixel Region Merging for SAR Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 59(11). 9319–9335. 15 indexed citations

14.

Sun, Yuli, Lin Lei, Dongdong Guan, Xiao Li, & Gangyao Kuang. (2020). SAR Image Change Detection Based on Nonlocal Low-Rank Model and Two-Level Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 293–306. 33 indexed citations

15.

Xiang, Deliang, Tao Tang, Sinong Quan, Dongdong Guan, & Yi Su. (2019). Adaptive Superpixel Generation for SAR Images With Linear Feature Clustering and Edge Constraint. IEEE Transactions on Geoscience and Remote Sensing. 57(6). 3873–3889. 29 indexed citations

16.

Xiang, Deliang, Wei Wang, Tao Tang, et al.. (2019). Adaptive Statistical Superpixel Merging With Edge Penalty for PolSAR Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 58(4). 2412–2429. 26 indexed citations

17.

Wei, Li‐Yi, et al.. (2019). Virtual fire drill system supporting co-located collaboration. Virtual Reality & Intelligent Hardware. 1(3). 290–302. 1 indexed citations

18.

Guan, Dongdong, Deliang Xiang, Ganggang Dong, et al.. (2018). SAR Image Classification by Exploiting Adaptive Contextual Information and Composite Kernels. IEEE Geoscience and Remote Sensing Letters. 15(7). 1035–1039. 14 indexed citations

19.

Guan, Dongdong, Deliang Xiang, Xiaoan Tang, & Gangyao Kuang. (2018). SAR Image Despeckling Based on Nonlocal Low-Rank Regularization. IEEE Transactions on Geoscience and Remote Sensing. 57(6). 3472–3489. 41 indexed citations

20.

Guan, Dongdong, et al.. (2016). A geographic information based sea-land segmentation method for HR optical remote sensing image. 3553–3556. 1 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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