Yule Duan

1.0k total citations
32 papers, 778 citations indexed

About

Yule Duan is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yule Duan has authored 32 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Media Technology, 16 papers in Atmospheric Science and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yule Duan's work include Remote-Sensing Image Classification (25 papers), Remote Sensing and Land Use (16 papers) and Advanced Image Fusion Techniques (14 papers). Yule Duan is often cited by papers focused on Remote-Sensing Image Classification (25 papers), Remote Sensing and Land Use (16 papers) and Advanced Image Fusion Techniques (14 papers). Yule Duan collaborates with scholars based in China, United States and Australia. Yule Duan's co-authors include Hong Huang, Fulin Luo, Guangyao Shi, Haibo He, Jiamin Liu, Yinghua Liao, Tao Wang, Maixia Fu, Zhengying Li and Yingying Niu and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yule Duan

30 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yule Duan China 14 570 305 281 103 57 32 778
Yishu Peng China 13 386 0.7× 188 0.6× 173 0.6× 88 0.9× 34 0.6× 31 561
Yuanchao Su China 13 748 1.3× 374 1.2× 201 0.7× 126 1.2× 34 0.6× 38 939
Wenxing Bao China 14 334 0.6× 152 0.5× 165 0.6× 135 1.3× 76 1.3× 81 775
Bai Xue China 12 302 0.5× 166 0.5× 344 1.2× 89 0.9× 73 1.3× 42 679
Raúl Guerra Spain 16 335 0.6× 111 0.4× 229 0.8× 94 0.9× 79 1.4× 43 644
Carlos González Spain 15 379 0.7× 194 0.6× 304 1.1× 94 0.9× 26 0.5× 39 741
Jürgen Hahn Germany 7 438 0.8× 191 0.6× 142 0.5× 88 0.9× 74 1.3× 11 584
Javier Resano Spain 15 289 0.5× 187 0.6× 152 0.5× 75 0.7× 28 0.5× 42 721
Hamid Saeed Khan Pakistan 5 334 0.6× 134 0.4× 159 0.6× 55 0.5× 92 1.6× 10 652

Countries citing papers authored by Yule Duan

Since Specialization
Citations

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

Fields of papers citing papers by Yule Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yule Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Yule Duan. A scholar is included among the top collaborators of Yule 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 Yule Duan. Yule 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.
Xu, Rui, et al.. (2025). MDGF-CD: Land-cover change detection with multi-level DiffFormer feature grouping fusion for VHR remote sensing images. Information Fusion. 120. 103110–103110. 2 indexed citations
2.
Luo, Fulin, et al.. (2025). MMD-MLP: LiDAR-Guided Hyperspectral Data Classification Using Local–Global Directional-MLP With Multiresolution Multiscale Representation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 3 indexed citations
3.
Duan, Yule, et al.. (2025). GITANet: Group Interactive Threshold-Based Attention Network for Hyperspectral Image Classification. IEEE Transactions on Multimedia. 27. 3571–3584. 4 indexed citations
4.
Huang, Jie, et al.. (2025). Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening. Proceedings of the AAAI Conference on Artificial Intelligence. 39(4). 3662–3670. 1 indexed citations
5.
Wang, Xueyang, et al.. (2025). Adaptive Rectangular Convolution for Remote Sensing Pansharpening. 17872–17881. 3 indexed citations
6.
Fu, Maixia, et al.. (2024). Tunable broadband terahertz absorber based on graphene with bilayer hexagonal. AIP Advances. 14(2). 9 indexed citations
7.
Duan, Yule, Xiao Wu, Haoyu Deng, & Liang-Jian Deng. (2024). Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening. 27738–27747. 13 indexed citations
8.
Duan, Yule, et al.. (2024). Dimensionality Reduction via Multiple Neighborhood-Aware Nonlinear Collaborative Analysis for Hyperspectral Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 9356–9370. 11 indexed citations
9.
Duan, Yule, et al.. (2024). Spatial–Spectral Enhancement and Fusion Network for Hyperspectral Image Classification With Few Labeled Samples. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 9 indexed citations
11.
Guo, Tan, et al.. (2023). Hyperspectral Target Detection With Target Prior Augmentation and Background Suppression-Based Multidetector Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 1765–1780. 7 indexed citations
12.
Duan, Yule, Fulin Luo, Maixia Fu, Yingying Niu, & Xiuwen Gong. (2023). Classification via Structure-Preserved Hypergraph Convolution Network for Hyperspectral Image. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 69 indexed citations
13.
Li, Zhengying, et al.. (2020). DLPNet: A deep manifold network for feature extraction of hyperspectral imagery. Neural Networks. 129. 7–18. 12 indexed citations
14.
Duan, Yule, et al.. (2020). Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image. IEEE Transactions on Cybernetics. 51(8). 4021–4034. 38 indexed citations
15.
Huang, Hong, Zhengying Li, Haibo He, Yule Duan, & Song Yang. (2020). Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery. Pattern Recognition. 107. 107487–107487. 25 indexed citations
16.
Huang, Hong, Guangyao Shi, Yule Duan, & Limei Zhang. (2019). Dimensionality reduction method for hyperspectral images based on weighted spatial-spectral combined preserving embedding. SHILAP Revista de lepidopterología. 48(8). 1014. 1 indexed citations
17.
Huang, Hong, Yule Duan, Haibo He, & Guangyao Shi. (2019). Local Linear Spatial–Spectral Probabilistic Distribution for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 58(2). 1259–1272. 21 indexed citations
18.
Huang, Hong, et al.. (2019). Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized Sparse Hypergraph Embedding. Remote Sensing. 11(9). 1039–1039. 17 indexed citations
19.
Huang, Hong, Yule Duan, Guangyao Shi, & Zhiyong Lv. (2018). Fusion of Weighted Mean Reconstruction and SVMCK for Hyperspectral Image Classification. IEEE Access. 6. 15224–15235. 8 indexed citations
20.
Luo, Fulin, Hong Huang, Yule Duan, Jiamin Liu, & Yinghua Liao. (2017). Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery. Remote Sensing. 9(8). 790–790. 136 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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