Leyuan Fang

15.4k total citations · 10 hit papers
209 papers, 12.2k citations indexed

About

Leyuan Fang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Leyuan Fang has authored 209 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Media Technology, 111 papers in Computer Vision and Pattern Recognition and 57 papers in Atmospheric Science. Recurrent topics in Leyuan Fang's work include Remote-Sensing Image Classification (121 papers), Advanced Image Fusion Techniques (65 papers) and Remote Sensing and Land Use (57 papers). Leyuan Fang is often cited by papers focused on Remote-Sensing Image Classification (121 papers), Advanced Image Fusion Techniques (65 papers) and Remote Sensing and Land Use (57 papers). Leyuan Fang collaborates with scholars based in China, Germany and Iceland. Leyuan Fang's co-authors include Shutao Li, Jón Atli Benediktsson, Renwei Dian, Xudong Kang, Haitao Yin, Nanjun He, Pedram Ghamisi, Ting Lu, Antonio Plaza and Jianwen Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Leyuan Fang

198 papers receiving 11.9k citations

Hit Papers

Pixel-level image fusion: A survey of the state of the art 2013 2026 2017 2021 2016 2018 2018 2017 2018 250 500 750
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. Pixel-level image fusion: A survey of the state of the art
    2016 930 citations Shutao Li, Leyuan Fang et al. profile →
  2. Hyperspectral Image Classification With Deep Feature Fusion Network
    2018 464 citations Shutao Li, Leyuan Fang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  3. Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
    2018 443 citations Shutao Li, Leyuan Fang et al. IEEE Transactions on Image Processing profile →
  4. Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search
    2017 378 citations Leyuan Fang, Shutao Li et al. profile →
  5. Deep Hyperspectral Image Sharpening
    2018 327 citations Shutao Li, Leyuan Fang et al. profile →
  6. Classification of Hyperspectral Images by Exploiting Spectral–Spatial Information of Superpixel via Multiple Kernels
    2015 318 citations Leyuan Fang, Shutao Li et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  7. Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution
    2019 314 citations Shutao Li, Leyuan Fang et al. profile →
  8. New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning
    2018 273 citations Pedram Ghamisi, Emmanuel Maggiori et al. IEEE Geoscience and Remote Sensing Magazine profile →
  9. Remote Sensing Image Fusion via Sparse Representations Over Learned Dictionaries
    2013 263 citations Shutao Li, Leyuan Fang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  10. Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models
    2023 125 citations Jun Yue, Leyuan Fang et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leyuan Fang China 57 8.6k 6.0k 3.3k 1.8k 1.5k 209 12.2k
Wilfried Philips Belgium 43 3.7k 0.4× 5.2k 0.9× 901 0.3× 845 0.5× 932 0.6× 647 9.4k
Jiayi Ma China 77 16.7k 1.9× 18.6k 3.1× 1.2k 0.4× 1.6k 0.9× 825 0.6× 424 26.6k
Radhakrishna Achanta Switzerland 17 2.7k 0.3× 8.2k 1.3× 509 0.2× 422 0.2× 570 0.4× 33 11.0k
Chein‐I Chang United States 48 10.3k 1.2× 3.2k 0.5× 5.3k 1.6× 1.3k 0.7× 359 0.2× 350 13.3k
Aurélien Lucchi Switzerland 20 2.1k 0.2× 4.7k 0.8× 486 0.1× 357 0.2× 518 0.4× 52 8.1k
Shuyuan Yang China 46 4.0k 0.5× 4.2k 0.7× 1.2k 0.4× 642 0.4× 428 0.3× 432 9.4k
Lefei Zhang China 47 5.7k 0.7× 5.0k 0.8× 2.8k 0.9× 632 0.4× 194 0.1× 195 10.3k
Yakoub Bazi Saudi Arabia 40 2.6k 0.3× 2.2k 0.4× 1.3k 0.4× 600 0.3× 294 0.2× 150 6.7k
Yunsong Li China 49 5.4k 0.6× 3.8k 0.6× 1.6k 0.5× 597 0.3× 150 0.1× 421 8.5k
Gemine Vivone Italy 39 5.8k 0.7× 4.4k 0.7× 363 0.1× 840 0.5× 128 0.1× 167 7.1k

Countries citing papers authored by Leyuan Fang

Since Specialization
Citations

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

Fields of papers citing papers by Leyuan Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leyuan Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Leyuan Fang. A scholar is included among the top collaborators of Leyuan Fang 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 Leyuan Fang. Leyuan Fang 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.
Jiang, Kai, et al.. (2025). Hyperspectral anomaly detection with self-supervised anomaly prior. Neural Networks. 187. 107294–107294. 2 indexed citations
2.
Xie, Weiying, et al.. (2025). Semi-Mamba: Mamba-Driven Semi-Supervised Multimodal Remote Sensing Feature Classification. IEEE Transactions on Circuits and Systems for Video Technology. 35(10). 9837–9849. 7 indexed citations
3.
Xie, Weiying, et al.. (2025). Visual State Space Model With Graph-Based Feature Aggregation for No-Reference Image Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 35(6). 5589–5601.
4.
Luo, Ting, et al.. (2025). RoFDiff: Robust Hyperpansharpening via a High-Low Frequency Conditional Diffusion Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 20005–20023.
5.
Feng, Hao, et al.. (2024). Statistical adaptive modeling for kitchen waste detection in complex scenes. Applied Soft Computing. 161. 111743–111743. 2 indexed citations
6.
Yang, Zhen, et al.. (2024). Open Set Recognition in Real World. International Journal of Computer Vision. 132(8). 3208–3231. 11 indexed citations
7.
Fang, Leyuan, Zhen Yang, Tianlei Ma, et al.. (2024). Open-World Recognition in Remote Sensing: Concepts, challenges, and opportunities. IEEE Geoscience and Remote Sensing Magazine. 12(2). 8–31. 14 indexed citations
8.
Li, Min, et al.. (2024). GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 24 indexed citations
9.
Li, Ben, et al.. (2024). Enhancing Hyperspectral Image Classification: Leveraging Unsupervised Information With Guided Group Contrastive Learning. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 11 indexed citations
10.
Ding, Kexin, Ting Lu, Wei Fu, & Leyuan Fang. (2024). Cross-Scene Hyperspectral Image Classification With Consistency-Aware Customized Learning. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 418–430. 9 indexed citations
11.
Zeng, Shaoning, et al.. (2023). Latent Linear Discriminant Analysis for feature extraction via Isometric Structural Learning. Pattern Recognition. 149. 110218–110218. 14 indexed citations
12.
Xu, Xiayu, Leyuan Fang, Ehsan Kozegar, et al.. (2023). Improved fully convolutional neuron networks on small retinal vessel segmentation using local phase as attention. Frontiers in Medicine. 10. 1038534–1038534. 4 indexed citations
13.
Wang, Hui, Guangcheng Wang, Wenjun Xia, et al.. (2023). Blind Image Quality Assessment via Deep Response Feature Decomposition and Aggregation. IEEE Journal of Selected Topics in Signal Processing. 17(6). 1165–1177. 3 indexed citations
14.
Xie, Weiying, et al.. (2023). REAF: Remembering Enhancement and Entropy-Based Asymptotic Forgetting for Filter Pruning. IEEE Transactions on Image Processing. 32. 3912–3923. 9 indexed citations
15.
Xie, Weiying, et al.. (2023). Co-Compression via Superior Gene for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 7 indexed citations
16.
Wu, Jie, et al.. (2023). Efficient Layer Compression Without Pruning. IEEE Transactions on Image Processing. 32. 4689–4700. 16 indexed citations
17.
Tan, Mingkui, et al.. (2023). Transformer-Based Relational Inference Network for Complex Visual Relational Reasoning. ACM Transactions on Multimedia Computing Communications and Applications. 20(1). 1–23. 6 indexed citations
18.
Wu, Linshan, Ming Lu, & Leyuan Fang. (2022). Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 35 indexed citations
19.
Fang, Leyuan, et al.. (2018). Deformable Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 15(8). 1254–1258. 206 indexed citations
20.
Ghamisi, Pedram, Emmanuel Maggiori, Shutao Li, et al.. (2018). New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning. IEEE Geoscience and Remote Sensing Magazine. 6(3). 10–43. 273 indexed citations breakdown →

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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