Ruizhen Zhao

1.1k total citations
58 papers, 767 citations indexed

About

Ruizhen Zhao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Ruizhen Zhao has authored 58 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 23 papers in Computational Mechanics and 14 papers in Media Technology. Recurrent topics in Ruizhen Zhao's work include Sparse and Compressive Sensing Techniques (23 papers), Image and Signal Denoising Methods (13 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Ruizhen Zhao is often cited by papers focused on Sparse and Compressive Sensing Techniques (23 papers), Image and Signal Denoising Methods (13 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Ruizhen Zhao collaborates with scholars based in China, United States and Russia. Ruizhen Zhao's co-authors include Yigang Cen, Jinhui Tang, Meng Wang, Zechao Li, Gaoyun An, Hengyou Wang, Caijuan Shi, Zhihai He, Qiuqi Ruan and Shaohai Hu and has published in prestigious journals such as IEEE Transactions on Image Processing, Journal of Experimental Botany and Science Advances.

In The Last Decade

Ruizhen Zhao

56 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruizhen Zhao China 14 575 174 147 92 65 58 767
Chunna Tian China 18 622 1.1× 90 0.5× 265 1.8× 97 1.1× 80 1.2× 60 870
J. Ben-Arie United States 14 597 1.0× 58 0.3× 104 0.7× 107 1.2× 84 1.3× 76 741
Xiaofeng Ren United States 8 668 1.2× 67 0.4× 117 0.8× 86 0.9× 31 0.5× 9 790
Vishvjit S. Nalwa United States 8 630 1.1× 59 0.3× 137 0.9× 73 0.8× 21 0.3× 13 746
Naejin Kong South Korea 6 574 1.0× 51 0.3× 149 1.0× 45 0.5× 50 0.8× 7 707
Kenjiro T. Miura Japan 18 352 0.6× 493 2.8× 52 0.4× 40 0.4× 52 0.8× 151 975
Yoonsik Kim South Korea 13 331 0.6× 102 0.6× 155 1.1× 34 0.4× 24 0.4× 57 656
Jacob Munkberg Sweden 15 691 1.2× 287 1.6× 99 0.7× 41 0.4× 51 0.8× 39 925
Johannes Hanika Germany 19 782 1.4× 323 1.9× 98 0.7× 26 0.3× 53 0.8× 67 1.1k
Giuseppe Valenzise France 19 930 1.6× 177 1.0× 98 0.7× 159 1.7× 61 0.9× 85 1.3k

Countries citing papers authored by Ruizhen Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ruizhen Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruizhen Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ruizhen Zhao. A scholar is included among the top collaborators of Ruizhen 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 Ruizhen Zhao. Ruizhen 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.
Zhao, Ruizhen, Zixuan Ding, Qian Wu, et al.. (2025). A plant NLR receptor activates auxin signaling through Aux/IAAs-ARF19 and YUC8-TIR1/AFBs to promote callose-mediated antiviral defense. Science Advances. 11(51). eaea2275–eaea2275.
2.
Zhang, Xingwang, Hao Hong, Mingfeng Feng, et al.. (2024). Autophagy plays an antiviral defence role against tomato spotted wilt orthotospovirus and is counteracted by viral effector NSs. Molecular Plant Pathology. 25(10). e70012–e70012. 1 indexed citations
3.
Jiang, Chunxiao, Yang Cong, Jiming Chen, et al.. (2023). Rethinking development and major research plans of Industrial Internet in China. Fundamental Research. 4(1). 3–7. 2 indexed citations
4.
Zhao, Ruizhen, Wei Cheng, Juan Shen, et al.. (2023). Single-cell and spatiotemporal transcriptomic analyses reveal the effects of microorganisms on immunity and metabolism in the mouse liver. Computational and Structural Biotechnology Journal. 21. 3466–3477. 4 indexed citations
5.
Zhang, Yin, Juan Shen, W. S. Cheng, et al.. (2023). Microbiota-mediated shaping of mouse spleen structure and immune function characterized by scRNA-seq and Stereo-seq. Journal of genetics and genomics. 50(9). 688–701. 16 indexed citations
6.
Zhao, Xiaohui, Zhengqiang Chen, Qian Wu, et al.. (2021). The Sw-5b NLR nucleotide-binding domain plays a role in oligomerization, and its self-association is important for activation of cell death signaling. Journal of Experimental Botany. 72(18). 6581–6595. 6 indexed citations
7.
Wang, Yanhong, et al.. (2020). Block-based image matching for image retrieval. Journal of Visual Communication and Image Representation. 74. 102998–102998. 5 indexed citations
8.
Zhao, Ruizhen, Rulin Wang, Lianshun Zheng, et al.. (2019). Toxicity and repellency of two anthranilates against Aedes albopictus Skuse (Diptera: Culicidae). Acta Tropica. 200. 105171–105171. 5 indexed citations
9.
An, Gaoyun, et al.. (2018). Robust discriminant low-rank representation for subspace clustering. Soft Computing. 23(16). 7005–7013. 8 indexed citations
10.
Wang, Hengyou, Yigang Cen, Ruizhen Zhao, et al.. (2017). Fast smooth rank function approximation based on matrix tri-factorization. Neurocomputing. 257. 144–153. 6 indexed citations
11.
Wang, Hengyou, et al.. (2016). Robust Generalized Low-Rank Decomposition of Multimatrices for Image Recovery. IEEE Transactions on Multimedia. 19(5). 969–983. 37 indexed citations
12.
An, Gaoyun, et al.. (2016). Robust generalized low rank approximations of matrices for video denoising. 815–818. 1 indexed citations
13.
Zhang, Fengzhen, et al.. (2016). Analytic separable dictionary learning based on oblique manifold. Neurocomputing. 236. 32–38. 4 indexed citations
14.
Wang, Yanhong, Yigang Cen, Ruizhen Zhao, Shichao Kan, & Shaohai Hu. (2016). Fusion of multiple VLAD vectors based on different features for image retrieval. 18. 742–746. 4 indexed citations
15.
Tang, Sheng, et al.. (2015). Pedestrian detection based on Region Proposal Fusion. 1–6. 5 indexed citations
16.
Zhao, Ruizhen, et al.. (2014). An algorithm of face alignment and recognition by sparse and low rank decomposition. 1036–1040. 2 indexed citations
17.
Wan, Jun, Qiuqi Ruan, Wei Li, Gaoyun An, & Ruizhen Zhao. (2014). 3D SMoSIFT: three-dimensional sparse motion scale invariant feature transform for activity recognition from RGB-D videos. Journal of Electronic Imaging. 23(2). 23017–23017. 35 indexed citations
18.
Zhao, Ruizhen, et al.. (2010). Regularized Adaptive Matching Pursuit Algorithm for Signal Reconstruction Based on Compressive Sensing. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 32(11). 2713–2717. 20 indexed citations
19.
Zhao, Ruizhen, Xiaoyu Liu, Ching-Chung Li, Robert J. Sclabassi, & Mingui Sun. (2009). Wavelet denoising via sparse representation. Science in China Series F Information Sciences. 52(8). 1371–1377. 20 indexed citations
20.
Zeng, Guoping & Ruizhen Zhao. (2007). Image denoising using least squares wavelet support vector machines. Chinese Optics Letters. 5(11). 632–635. 3 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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