Yudong Liang

457 total citations
18 papers, 269 citations indexed

About

Yudong Liang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Yudong Liang has authored 18 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Computational Mechanics. Recurrent topics in Yudong Liang's work include Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Advanced Vision and Imaging (5 papers). Yudong Liang is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Advanced Vision and Imaging (5 papers). Yudong Liang collaborates with scholars based in China, Switzerland and India. Yudong Liang's co-authors include Jinjun Wang, Yihong Gong, Sanping Zhou, Shun Zhang, Nanning Zheng, Deyu Li, Radu Timofte, Wenjian Wang, Na Li and Said Broumi and has published in prestigious journals such as Pattern Recognition, Electrochemistry Communications and Neurocomputing.

In The Last Decade

Yudong Liang

14 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yudong Liang China 6 197 75 43 39 17 18 269
Ruoxi Deng China 6 138 0.7× 35 0.5× 73 1.7× 20 0.5× 7 0.4× 12 237
Ajoy Mondal India 11 203 1.0× 48 0.6× 56 1.3× 15 0.4× 5 0.3× 26 258
Bin Dong China 8 183 0.9× 59 0.8× 29 0.7× 32 0.8× 20 1.2× 18 255
S. Rajkumar India 9 134 0.7× 98 1.3× 55 1.3× 31 0.8× 20 1.2× 36 255
Zhanqiang Huo China 8 161 0.8× 19 0.3× 58 1.3× 101 2.6× 10 0.6× 53 265
Yingxue Pang China 3 152 0.8× 44 0.6× 39 0.9× 32 0.8× 4 0.2× 8 243
Dattatray V. Jadhav India 10 220 1.1× 40 0.5× 69 1.6× 85 2.2× 8 0.5× 24 349
Yabin Zhu China 7 374 1.9× 53 0.7× 26 0.6× 37 0.9× 5 0.3× 11 415

Countries citing papers authored by Yudong Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yudong Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yudong Liang

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

All Works

18 of 18 papers shown
1.
Liang, Yudong, et al.. (2025). 3D Portrait Stylization with Adaptive Semantic Editing based on GAN Latent Codes. Pattern Recognition. 171. 112069–112069.
2.
Liang, Yudong, et al.. (2025). Density-aware few-parametric networks for robust few-shot point cloud semantic segmentation. Neurocomputing. 665. 132158–132158.
3.
Liang, Yudong, et al.. (2024). Image dehazing via self-supervised depth guidance. Pattern Recognition. 158. 111051–111051. 11 indexed citations
4.
Shen, Rui, et al.. (2024). Determination of pulmonary vessel alteration in Chinese male smokers by quantitative computed tomography measurements: a retrospective study. Quantitative Imaging in Medicine and Surgery. 14(5). 3289–3301.
5.
Liang, Yudong. (2024). Sports Injury Prediction Model based on Machine Learning. RePEc: Research Papers in Economics. 969–981. 1 indexed citations
6.
Zhang, Xiaoying, et al.. (2023). Combining Enhancement and Fusion for Low-Light Visible and Infrared Image. abs/2112.01766. 7730–7735.
7.
Yang, Yazheng, Ning Li, Na Li, et al.. (2022). Microstructure evolution of lithium-ion battery electrodes at different states of charge: Deep learning-based segmentation. Electrochemistry Communications. 136. 107224–107224. 16 indexed citations
8.
Liang, Yudong, Bin Wang, Wenqi Ren, et al.. (2022). Learning Hierarchical Dynamics with Spatial Adjacency for Image Enhancement. Proceedings of the 30th ACM International Conference on Multimedia. 2767–2776. 5 indexed citations
9.
Shi, Ke, et al.. (2021). Development of a Machine Learning-Assisted Model for the Early Detection of Severe COVID-19 Cases Combining Blood Test and Quantitative Computed Tomography Parameters. Journal of Medical Imaging and Health Informatics. 11(11). 2747–2753. 1 indexed citations
10.
Liang, Yudong, Radu Timofte, Jinjun Wang, et al.. (2021). Single-Image super-resolution - When model adaptation matters. Pattern Recognition. 116. 107931–107931. 22 indexed citations
11.
12.
Liang, Yudong, Ze Yang, Kai Zhang, et al.. (2017). Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network. arXiv (Cornell University). 2 indexed citations
13.
Jiang, Zoe L., et al.. (2017). Lattice-based proxy signature scheme with reject sampling method. 8. 558–563. 4 indexed citations
14.
Liang, Yudong, Jinjun Wang, Sanping Zhou, Yihong Gong, & Nanning Zheng. (2016). Incorporating image priors with deep convolutional neural networks for image super-resolution. Neurocomputing. 194. 340–347. 57 indexed citations
15.
Zhou, Sanping, Jinjun Wang, Shun Zhang, Yudong Liang, & Yihong Gong. (2016). Active contour model based on local and global intensity information for medical image segmentation. Neurocomputing. 186. 107–118. 127 indexed citations
16.
Liang, Yudong, Jinjun Wang, Shizhou Zhang, & Yihong Gong. (2015). Incorporating image degeneration modeling with multitask learning for image super-resolution. 313. 2110–2114. 3 indexed citations
17.
Liang, Yudong, Jinjun Wang, Shizhou Zhang, & Yihong Gong. (2014). Learning visual co-occurrence with auto-encoder for image super-resolution. 1–4. 5 indexed citations
18.
Liu, Yuanliu, Yudong Liang, Zejian Yuan, & Nanning Zheng. (2012). Learning to describe color composition of visual objects. 3337–3340. 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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