Keyu Yan

1.1k total citations · 2 hit papers
19 papers, 527 citations indexed

About

Keyu Yan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Keyu Yan has authored 19 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 6 papers in Biomedical Engineering. Recurrent topics in Keyu Yan's work include Advanced Image Fusion Techniques (11 papers), Image Enhancement Techniques (7 papers) and Image and Signal Denoising Methods (6 papers). Keyu Yan is often cited by papers focused on Advanced Image Fusion Techniques (11 papers), Image Enhancement Techniques (7 papers) and Image and Signal Denoising Methods (6 papers). Keyu Yan collaborates with scholars based in China, Singapore and Australia. Keyu Yan's co-authors include Man Zhou, Jie Huang, Chengjun Xie, Danfeng Hong, Xueyang Fu, Feng Zhao, Aiping Liu, Chongyi Li, Jie Zhang and Rui Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Computer Vision.

In The Last Decade

Keyu Yan

19 papers receiving 523 citations

Hit Papers

align trajectories

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.

Pan-Mamba: Effective pan-sharpening with state space model

2024 66 citations Jie Zhang, Keyu Yan et al. Information Fusion profile →
A General Spatial-Frequency Learning Framework for Multimodal Image Fusion

2024 57 citations Man Zhou, Jie Huang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keyu Yan China	13	369	354	67	40	27	19	527
Jiangxin Dong China	16	735 2.0×	443 1.3×	44 0.7×	37 0.9×	30 1.1×	26	845
Jinfan Hu China	9	422 1.1×	519 1.5×	58 0.9×	33 0.8×	20 0.7×	11	599
Jiangyong Duan China	8	879 2.4×	584 1.6×	41 0.6×	40 1.0×	19 0.7×	17	1.0k
Yue Que China	14	525 1.4×	564 1.6×	118 1.8×	32 0.8×	19 0.7×	22	704
Anjing Guo China	8	476 1.3×	629 1.8×	78 1.2×	74 1.9×	36 1.3×	10	789
Cong Phuoc Huynh Australia	14	275 0.7×	137 0.4×	58 0.9×	38 0.9×	23 0.9×	33	443
Artur Łoza United Kingdom	9	434 1.2×	292 0.8×	40 0.6×	39 1.0×	14 0.5×	22	537
Yiqun Mei United States	6	703 1.9×	445 1.3×	51 0.8×	20 0.5×	18 0.7×	12	795
Hossein Talebi United States	10	647 1.8×	306 0.9×	38 0.6×	54 1.4×	68 2.5×	27	753

Countries citing papers authored by Keyu Yan

Since Specialization

Citations

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

Fields of papers citing papers by Keyu Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyu Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Wang, Yingying, et al.. (2025). Learning Diffusion High-Quality Priors for Pan-Sharpening: A Two-Stage Approach With Time-Aware Adapter Fine-Tuning. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 2 indexed citations

Du, Jianming, Keyu Yan, Wei Dong, et al.. (2024). Causality‐inspired crop pest recognition based on Decoupled Feature Learning. Pest Management Science. 80(11). 5832–5842. 3 indexed citations

Zhou, Man, Jie Huang, Keyu Yan, et al.. (2024). A General Spatial-Frequency Learning Framework for Multimodal Image Fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5281–5298. 57 indexed citations breakdown →

Zhang, Jie, Keyu Yan, Rui Li, et al.. (2024). Pan-Sharpening With Wavelet-Enhanced High-Frequency Information. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 14 indexed citations

Zhang, Jie, Keyu Yan, Yingying Wang, et al.. (2024). Pan-Mamba: Effective pan-sharpening with state space model. Information Fusion. 115. 102779–102779. 66 indexed citations breakdown →

Zhang, Jie, Keyu Yan, Yingying Wang, et al.. (2024). Frequency Decoupled Domain-Irrelevant Feature Learning for Pan-Sharpening. IEEE Transactions on Circuits and Systems for Video Technology. 35(2). 1237–1250. 3 indexed citations

Yan, Keyu, et al.. (2024). Frequency-Adaptive Pan-Sharpening with Mixture of Experts. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2121–2129. 11 indexed citations

Huang, Jie, Naishan Zheng, Man Zhou, et al.. (2024). Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion. 25922–25931. 10 indexed citations

Wang, Guoli, Zejin Wang, Run Wang, et al.. (2024). Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2130–2138. 1 indexed citations

10.

Zhou, Man, Keyu Yan, Xueyang Fu, Aiping Liu, & Chengjun Xie. (2023). PAN-Guided Band-Aware Multi-Spectral Feature Enhancement for Pan-Sharpening. IEEE Transactions on Computational Imaging. 9. 238–249. 17 indexed citations

11.

Yan, Keyu, Jie Zhang, Rui Li, et al.. (2023). Multiscale Dual-Domain Guidance Network for Pan-Sharpening. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 25 indexed citations

12.

Yan, Keyu, et al.. (2023). Pyramid Dual Domain Injection Network for Pan-sharpening. 12862–12871. 12 indexed citations

13.

Yan, Keyu, Tingwei Gao, Hui Zhang, & Chengjun Xie. (2023). Linking Garment with Person via Semantically Associated Landmarks for Virtual Try-On. 17194–17204. 12 indexed citations

14.

Yan, Keyu, Man Zhou, Liu Liu, Chengjun Xie, & Danfeng Hong. (2022). When Pansharpening Meets Graph Convolution Network and Knowledge Distillation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 35 indexed citations

15.

Zhou, Man, et al.. (2022). Mutual Information-driven Pan-sharpening. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1788–1798. 89 indexed citations

16.

Zhou, Man, Jie Huang, Keyu Yan, et al.. (2022). Normalization-based Feature Selection and Restitution for Pan-sharpening. Proceedings of the 30th ACM International Conference on Multimedia. 3365–3374. 23 indexed citations

17.

Zhou, Man, Keyu Yan, Jinshan Pan, et al.. (2022). Memory-Augmented Deep Unfolding Network for Guided Image Super-resolution. International Journal of Computer Vision. 131(1). 215–242. 53 indexed citations

18.

Yang, Gang, Man Zhou, Keyu Yan, et al.. (2022). Memory-augmented Deep Conditional Unfolding Network for Pansharpening. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1778–1787. 60 indexed citations

19.

Zhou, Man, Jie Huang, Chongyi Li, et al.. (2022). Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening. Proceedings of the 30th ACM International Conference on Multimedia. 3375–3384. 34 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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