Xi-Le Zhao

8.4k total citations · 3 hit papers
226 papers, 6.4k citations indexed

About

Xi-Le Zhao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Xi-Le Zhao has authored 226 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Computer Vision and Pattern Recognition, 119 papers in Computational Mechanics and 77 papers in Media Technology. Recurrent topics in Xi-Le Zhao's work include Image and Signal Denoising Methods (140 papers), Sparse and Compressive Sensing Techniques (117 papers) and Advanced Image Fusion Techniques (63 papers). Xi-Le Zhao is often cited by papers focused on Image and Signal Denoising Methods (140 papers), Sparse and Compressive Sensing Techniques (117 papers) and Advanced Image Fusion Techniques (63 papers). Xi-Le Zhao collaborates with scholars based in China, Hong Kong and United States. Xi-Le Zhao's co-authors include Ting‐Zhu Huang, Tai-Xiang Jiang, Liang-Jian Deng, Yu‐Bang Zheng, Tian-Hui Ma, Michael K. Ng, Yong Chen, Teng-Yu Ji, Yao Wang and Wei He and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xi-Le Zhao

209 papers receiving 6.3k citations

Hit Papers

Hyperspectral Image Restoration Via Total Variation Regul... 2017 2026 2020 2023 2017 2022 2024 100 200 300

Peers

Xi-Le Zhao
Hui Ji Singapore
Misha E. Kilmer United States
Xiao Fu United States
Jie Chen China
Tieyong Zeng Hong Kong
James E. Fowler United States
Trac D. Tran United States
Xi-Le Zhao
Citations per year, relative to Xi-Le Zhao Xi-Le Zhao (= 1×) peers Ting‐Zhu Huang

Countries citing papers authored by Xi-Le Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xi-Le Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xi-Le Zhao. 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 Xi-Le Zhao. The network helps show where Xi-Le Zhao may publish in the future.

Co-authorship network of co-authors of Xi-Le Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xi-Le Zhao. A scholar is included among the top collaborators of Xi-Le Zhao 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 Xi-Le Zhao. Xi-Le Zhao 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.
Liu, Yang, et al.. (2024). Soft independence guided filter pruning. Pattern Recognition. 153. 110488–110488. 3 indexed citations
2.
Liu, Ryan Wen, Yu Guo, Yuxu Lu, Xi-Le Zhao, & An-An Liu. (2024). S3Net: Semi-self-supervised neural network for visibility enhancement of speckled images. Computers & Electrical Engineering. 118. 109363–109363. 2 indexed citations
3.
Zhao, Xi-Le, et al.. (2024). Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior. IEEE Transactions on Computational Imaging. 10. 93–102.
4.
Huang, Ting‐Zhu, et al.. (2024). Nested Fully-Connected Tensor Network Decomposition for Multi-Dimensional Visual Data Recovery. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 10092–10106. 5 indexed citations
5.
Zhao, Xi-Le, et al.. (2023). Superpixel-based robust tensor low-rank approximation for multimedia data recovery. Knowledge-Based Systems. 277. 110812–110812. 5 indexed citations
6.
Huang, Ting‐Zhu, et al.. (2023). Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 23 indexed citations
7.
Chang, Yi, Yun Guo, Chang‐Feng Yu, et al.. (2023). Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2638–2657. 16 indexed citations
8.
Liu, Yang, et al.. (2023). Skeleton Neural Networks via Low-Rank Guided Filter Pruning. IEEE Transactions on Circuits and Systems for Video Technology. 33(12). 7197–7211. 9 indexed citations
9.
Zhao, Xi-Le, et al.. (2023). Provable Stochastic Algorithm for Large-Scale Fully-Connected Tensor Network Decomposition. Journal of Scientific Computing. 98(1). 6 indexed citations
10.
Wang, Jian-Li, et al.. (2022). Complex Video Completion Fusing Low-Rank Background and Deep Foreground Priors. IEEE Signal Processing Letters. 29. 2737–2741. 2 indexed citations
11.
Lin, Jie, Ting‐Zhu Huang, Xi-Le Zhao, et al.. (2022). Robust Thick Cloud Removal for Multitemporal Remote Sensing Images Using Coupled Tensor Factorization. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 33 indexed citations
12.
Wang, Jian-Li, Ting‐Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, & Michael K. Ng. (2021). Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform. IEEE Transactions on Image Processing. 30. 3581–3596. 41 indexed citations
13.
Zhao, Xi-Le, et al.. (2021). Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal. IEEE Signal Processing Letters. 28. 2147–2151. 5 indexed citations
14.
Zheng, Yu‐Bang, Ting‐Zhu Huang, Xi-Le Zhao, Yong Chen, & Wei He. (2020). Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image. IEEE Transactions on Geoscience and Remote Sensing. 58(12). 8450–8464. 112 indexed citations
15.
Wang, Yao, et al.. (2020). Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 58(11). 7654–7671. 39 indexed citations
16.
Chang, Yi, Meiya Chen, Luxin Yan, et al.. (2019). Toward Universal Stripe Removal via Wavelet-Based Deep Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 58(4). 2880–2897. 74 indexed citations
17.
Chen, Yong, Ting‐Zhu Huang, Xi-Le Zhao, & Liang-Jian Deng. (2018). Hyperspectral image restoration using framelet-regularized low-rank nonnegative matrix factorization. Applied Mathematical Modelling. 63. 128–147. 33 indexed citations
18.
Yang, Jing‐Hua, et al.. (2018). Total variation and high-order total variation adaptive model for restoring blurred images with Cauchy noise. Computers & Mathematics with Applications. 77(5). 1255–1272. 53 indexed citations
19.
Jiang, Tai-Xiang, Ting‐Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, & Yao Wang. (2017). A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. 2818–2827. 120 indexed citations
20.
Ji, Teng-Yu, Ting‐Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, & Liang-Jian Deng. (2017). A non-convex tensor rank approximation for tensor completion. Applied Mathematical Modelling. 48. 410–422. 73 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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